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Case Study
Unlocking CMC process data for predictive analytics
Case studies
2024-03-18

Predictive models can dramatically improve drug production, but they require large-scale, contextualized datasets. At a top 25 biopharma, data scientists working in chemistry, manufacturing, and controls (CMC) were stuck. They couldn't use process data (collected by PharmaMV software) to build these models because it wasn't optimized for predictive analytics.

The biopharma partnered with TetraScience to liberate this trove of valuable data. The solution uses the Tetra Scientific Data and AI Cloud™ to automatically replatform and engineer data from PharmaMV into AI-native Tetra Data.

Now, the data scientists can:

  • Search and assemble contextualized data rapidly
  • Access AI-native data for advanced analytics and modeling of drug production

Read the customer story to learn more.

Case Study
Improving CMC with analytics-ready chromatography data
Case studies
2024-03-07

Scientists in the Chemistry, Manufacturing, and Controls (CMC) division at a top-ten biopharma company specialize in developing methods for purifying biologics. However, they struggled with inefficient data practices. Manually assembling and analyzing heterogeneous sets of chromatography data (from FPLC and UPLC) was far from scalable.

Discover how TetraScience accelerated their development cycle by replatforming and engineering chromatography data. This analytics-ready data powers an in-house application to further streamline and enhance analysis.

The new solution enables the CMC team to:

  • Redirect thousands of hours of manual data handling to model building
  • Search and retrieve chromatography data faster and easier
  • Streamline troubleshooting during scale-up to facilitate tech transfer
  • Generate AI-native data for future AI applications
Case Study
Accelerating ADME/Tox testing with data science and AI
Case studies
2024-01-29

At Charles River Laboratories Hungary (SOLVO), scientists perform drug transporter assays to evaluate the absorption, distribution, metabolism, excretion, and toxicity (ADME/Tox) properties of drug candidates. They follow a rigid and inefficient sampling scheme to generate dose-response curves, adding cost and time to projects.

Learn how TetraScience helped SOLVO streamline ADME/Tox screening with artificial intelligence (AI). By replatforming and engineering scientific data, the Tetra Scientific Data and AI Cloud™ supports the development and validation of an in silico model to optimize sampling and improve IC50 calculations.

The in silico model, built in just 5 months, will enable SOLVO to:

  • Cut the number of sampling points by half while improving IC50 accuracy
  • Reduce wet lab experiments by 50%
  • Decrease manual data curation by 1.5 FTE
Case Study
Streamline batch release workflows between Signals Notebook, LabX, and Tiamo
Case studies
2024-01-29

When a large biopharma needed to digitize their batch release workflows, eliminate manual data handling, and prepare their scientific data for downstream use in analytics applications and AI, they chose TetraScience.

The Tetra Scientific Data and AI Cloud™ will enable the seamless transfer of data between Signals Notebook, LabX, and Tiamo through integrations and advanced data engineering while simultaneously preparing data for downstream use in analytics and AI applications.

This global biopharma can expect:

  • 40% increase in lab productivity
  • 4x reduction in error rate
  • Reduction in FTEs required for QC review
  • AI-native data for prediction and troubleshooting

For the full story, read our 1-page customer story.

Customer Story
Enhanced sample tracking boosts genotyping throughput
Case studies
2023-12-15

High-throughput screening of genomic edits in mice is a complex, multi-step process. Each genetic modification requires unique reagents for detection by quantitative PCR. Read this customer story to learn how the Tetra Scientific Data and AI Cloud increased productivity through the automation and enhancement of sample records.

Challenge:
A top 20 biopharma company operates its qPCR-based genotyping workflow at 40% capacity due to limitations in sample tracking.

Solution:
The Tetra Scientific Data and AI Cloud enables per-well sample tracking by replatforming and engineering scientific data.

Result:
33% increase in genotyping throughput so far; expected to increase by 150% total soon.

Case Study
Unlocking the Value of Big Data in a Global Biopharma
Case studies
2022-12-28

A leading biopharmaceutical company was searching for a data solution that would help them accelerate biologics discovery and development, improve time-to-insight, and bring therapies to patients faster.

This case study explores how the Tetra Scientific Data and AI Cloud helped them accomplish their goals by:

  • Automating CRO data ingestion
  • Eliminating time-consuming manual data cleansing
  • Accelerating .CZI image processing
  • Streamlining HTS workflows

Read this case study to learn how TetraScience optimized large scale scientific data.

Case Study
Streamlined flow cytometry for antibody screening
Case studies
2023-08-16

Flow cytometry is a powerful tool to screen and optimize protein therapeutics. But the raw data is complex and requires preparation before downstream analysis. Performed manually, this process creates a bottleneck for high-throughput approaches.

Facing this challenge, a leading biopharma company looked to increase the throughput of its antibody screening method by streamlining the scientific data workflow.

Read the case study to learn how TetraScience helped this company achieve:

  • 25X faster data preparation, including gating and QC
  • Up to 48 hours saved per screen
  • Over 3X screening throughput by supporting a multiplexing approach
  • Higher-quality data, centralized and searchable in the cloud

The outcome was faster, better lead identification without increasing instrument footprint or personnel.

Case Study
Streamlining synthetic biology at Ginkgo Bioworks
Case studies
2023-12-02

Ginkgo Bioworks is pioneering new ways to design biology. The company’s innovative cell programming platform enables scientists to edit DNA and produce biological designs that can identify new therapeutics for pharmaceutical companies, enable agriculture companies to protect crops from pests, and more.

Learn how the Tetra Scientific Data and AI Cloud™ enabled Ginkgo to optimize lab operations and allowed software engineers to focus on high-value work while also helping the company prepare data for analytics and AI applications.

Case Study
Powering Scientific Process Automation and Workflow Management
Case studies
2022-09-30

The clinical-stage biopharmaceutical company Prelude Therapeutics (PTx) deployed the Tetra Data Platform to eliminate manual data processing and accelerate scientific discoveries.

This case study — Powering Prelude's Discovery Platform — describes:

  • The challenges of manual collection, transfer, and manipulation of data for the integration of PTx instruments & software
  • The benefits of scientific process automation and workflow management with the Tetra Data Platform (TDP)

TetraScience built a cloud-based data processing solution to automate Tecan, Titian, Dotmatics, and PerkinElmer Envision workflows with upstream data science applications. Our vendor-agnostic integrations enabled scientists to access all of their instrument data, information of informatics software, and scientific data visualization in one place. No more need to move and update files from multiple locations.

The Value of an Automated Scientific Data Workflow 

Learn how to reduce manual tasks by automating workflows, enabling scientists to focus on high-value activities like developing new cancer treatments.

Key success metrics include:

  • 1 hour per run saved for data aggregation
  • 3 FTEs shifted to higher-value work
  • 4x compounds screened per week
  • Centralized compound management

Learn more about the value of an automated scientific data workflow. Read the full case study.

Case Study
How a Biotech Organization is Transforming Vital Flow Cytometry Processes
Case studies
2022-11-15

A leading biotech company was facing challenges with their flow cytometry workflows due to inefficient, manual processes that were time consuming, high effort and error prone.

This case study shows how this biotech organization was able to automate, simplify, and improve the quality of their flow cytometry workflows by addressing the pain points that include:

  • Manual data manipulation
  • High utilization of instruments
  • Slow, complex, and risky data preparation processes

Read this full case study to learn about how to improve and accelerate flow cytometry workflows with the Tetra Scientific Data and AI Cloud™.

Customer Story
Faster lead characterization by automating SPR data workflows
Case studies
2023-12-02

Surface plasmon resonance (SPR) enables scientists to measure molecular interactions between a potential drug and its target. Read this customer story to learn how the Tetra Scientific Data and AI Cloud accelerated lead characterization by replatforming and engineering SPR data.

Challenge:
A top 10 biopharma company performs manual QC of SPR data for lead characterization. The process takes up to 80% of scientists’ time, throttling assay throughput.

Solution:
The Tetra Scientific Data Cloud streamlines the entire QC process by automating data ingestion, engineering, and publishing.

Result:
Over 3x higher assay throughput and better quality data.

Case Study
Creating "The Digital CDMO" with Andelyn Biosciences
Case studies
2023-10-05

When Andelyn Biosciences broke ground on two state-of-the-art gene therapy CDMO facilities, they needed the optimal scientific data strategy. They decided to create a “Connected Plant” by leveraging The Tetra Scientific Data and AI Cloud™ across their entire enterprise.

Read this case study to learn how TetraScience and Andelyn successfully launched “The Connected Plant” where the Tetra Scientific Data and AI Cloud:

  • Provides the data infrastructure, automation, and engineered data Andelyn requires to become “The Digital CDMO”
  • Lays the foundation for AI-enabled workflows
  • Powers an easy-to-use search for all assay data
  • Consolidated every independent data story across the scientific organization
  • Onboarded 100% of Andelyn’s legacy gene therapy data

Find out why Andelyn says “TetraScience is the cornerstone of 'The Connected Plant Strategy.'”

Fact Sheet
Why executives love TetraScience
Fact Sheets
2023-03-22

Biopharma executives need to accelerate discovery, advance better drug candidates, and deliver a more robust portfolio. This one-page guide features real-world case studies from leading biopharmaceutical companies demonstrating how the Tetra Scientific Data and AI Cloud™ has proven capabilities in:

  • Solving immediate data problems and accelerating workflows
  • Improving use cases across the value chain (HTS, chromatography, CDMO automation, etc.)
  • Identifying hidden data problems that TetraScience can solve
  • Reducing cost, improving productivity, and accelerating time to scientific insight

Fundamental breakthroughs in life sciences are possible for the biopharmaceutical organizations that fully harness their scientific data. Read our guide and discover how we can help.

Fact Sheet
Verification and Validation Strategy
Fact Sheets
2023-08-24

The purpose of this document is to outline the Verification and Validation (V&V) strategy employed by TetraScience to ensure the Tetra Data Platform (TDP) performs as intended against user requirements. By aligning with this strategy, customers can leverage TetraScience deliverables to significantly reduce in-house validation efforts. It should be noted that a customer purchasing this package is still responsible for defining and ensuring the “last mile” validation of their own specific configuration of the platform, as well as defining sufficient standard operating procedures to operate and secure the system.

Fact Sheet
TetraScience Course Catalog
Fact Sheets
2023-06-20

Our comprehensive catalog of courses in TetraU, is your gateway to acquiring invaluable knowledge and expertise on the Tetra Scientific Data and AI Cloud. Whether you're a beginner seeking to explore the foundations or an experienced professional looking to enhance your skills, our carefully curated selection of courses has something for everyone.

  • Dive into engaging modules led by TetraScience experts, designed to deliver practical insights and best practices.
  • Utilize foundational and in-depth modules along with hands-on workshops, offering a blend of knowledge and real-world application.
  • Ensure you're equipped with expertise to help you thrive while using the Tetra Scientific Data and AI Cloud.

Don't miss out on this opportunity to unlock your potential and excel in your endeavors. Review the catalog and enroll in TetraU to embark on an exciting journey of growth and success!

Fact Sheet
TetraScience: The Scientific Data Cloud Company
Fact Sheets
2023-06-21

The Tetra Scientific Data Cloud helps accelerate discovery throughout the product lifecycle. Read this case study to see how TetraScience solved data challenges within:

  • Enterprise biopharma
  • Gene-therapy CDMO
  • Biotech

The case study fact sheet also covers specific use cases where TetraScience integrations have catalyzed discovery and improved process efficiency. These include:

  • Hamilton Microlab STAR (Sequential Transfer and Aliquot Robot) liquid handler
  • ÄKTA Unicorn
  • PerkinElmer Envision
  • Tecan
  • Titian
  • Dotmatics
  • Novocyte Quanteon Cytometer
  • Cytoflex LX Flow Cytometer

Find out why 12 out of 25 top biopharmas trust TetraScience with their data by downloading your copy today.

Fact Sheet
How scientists can innovate with TetraScience
Fact Sheets
2022-12-01

Scientists face several data challenges that impede workflow efficiency and their ability to access and analyze experimental results. These challenges include:

  • Scattered scientific data across instruments and applications
  • Inaccessible or poor-quality experimental data
  • Manual processes to move and prepare scientific data

This guide for scientists provides a side-by-side comparison of scientific data before and after TetraScience. You will learn how the Tetra Scientific Data and AI Cloud addresses scientific data challenges and enables you to achieve better and faster science.

Fact Sheet
How scientific IT benefits from TetraScience
Fact Sheets
2022-12-21

Life sciences IT across R&D, Quality, and Manufacturing face several challenges that impede their ability to collect, manage, and distribute data to their teams. These challenges include:

  • Scattered, disconnected silos that make accessing and utilizing scientific data difficult
  • Maintaining and developing custom, point-to-point instrument and application integrations
  • Time and expertise to build in-house data solutions

This guide for scientific IT provides a side-by-side comparison of data access, technology flexibility, and solution scalability before and after TetraScience. You will learn how the Tetra Scientific Data and AI Cloud addresses these scientific data challenges and enables you to achieve better and faster science.

Fact Sheet
How TetraScience empowers scientific data engineers
Fact Sheets
2023-02-17

Scientific data engineers in biopharma organizations manage significant challenges as they provide scientists and data scientists with the high-quality data they need. These challenges include:

  • Consolidating data from complex workflows
  • Navigating scattered, ad hoc file storage across massive companies
  • Tedious, error-prone manual transcription processes
  • Poor metadata attribution

This guide explains how The Tetra Scientific Data and AI Cloud™ solves these issues and empowers scientific data engineers to build and configure pipelines that enable downstream usage of informatics applications, provide centralized and searchable data storage, and power advanced analytics, visualization tools, and AI/ML.

Fact Sheet
Creating data in the Allotrope Simple Model (ASM) at scale using the TetraScience Intermediate Data Schema (IDS)
Fact Sheets
2023-08-14

A few years after TetraScience decided to build an Intermediate Data Schema (IDS) on JSON, Allotrope Foundation developed the Allotrope Simple Model (ASM), which also uses JSON.

If your organization is interested in adopting the ASM, you can use the Tetra Scientific Data and AI Cloud to transform your data into the ASM at scale. To fine-tune this process, TetraScience collaborated with a top 25 pharma company to integrate primary lab data into the cloud, engineer the data into our IDS, and then transform data into the ASM.

Download this fact sheet to learn how and why to transform data into the ASM by first converting files to the TetraScience IDS.

Fact Sheet
Enabling AI/ML through data maturity
Fact Sheets
2023-07-10

AI/ML-powered science is rapidly advancing biopharmaceutical science. However, biopharma companies have a problem. AI/ML is not possible without connected ecosystems, centralized data stores, and harmonized, enriched, analytics-ready data. In other words, biopharmas lack the data maturity AI/ML requires to function. That’s where TetraScience comes in.

Read in this fact sheet, how TetraScience can help unlock your data and unleash your AI/ML with the Tetra Scientific Data and AI Cloud.

Fact Sheet
Catalyze the impact of your scientific workflows
Fact Sheets
2023-10-23

The Tetra Catalysts offering provides the “connective tissue” between scientific IT and scientists, helping customers increase the value of their Tetra Scientific Data CloudTM deployment by 5-10X. The Tetra Catalysts offering is delivered by our TetraScience Sciborgs, an elite team of Scientific Data Architects (SDA) and Scientific Business Analysts (SBA) embedded in your organization who focus on business outcomes and identify high impact areas to maximize ROI.

Read this fact sheet to learn how Tetra Catalysts leverage industry best practices and learnings across multiple biopharmas to establish a solid foundation for advanced data science and AI/ML, delivering unparalleled scientific impact, such as:

  • 25X faster preparation of flow cytometry data at a top 20 biopharma
  • Successful ML enablement at a top 20 biopharma
  • Facilitating AI/ML and predicative analytical capabilities at a top 10 biopharma
Fact Sheet
Tetra Data Platform 21 CFR Part 11 Assessment
Fact Sheets
2022-11-22

Following the US FDA’s 21 CFR Part 11 regulation is a critical element for FDA-regulated industries to ensure compliance. In this document we assess the different sections regarding the compliance of the Tetra Data Platform with the requirements for Electronic Records and Electronic Signatures as defined in the guidance document. It helps identify the coverage and responsibility of each of these sections.

Fact Sheet
Ensuring data integrity with TetraScience
Fact Sheets
2023-08-14

Biopharmaceutical organizations need a robust approach to maintaining data integrity. The value, volume, and variability of their scientific data demand it.

ALCOA++ is a set of principles used in the life sciences and other regulated spaces to ensure data integrity. Learn how the Tetra Scientific Data and AI Cloud™ upholds ALCOA++ throughout the entire scientific data journey, from data collection to analysis.

Fact Sheet
Key Takeaways: Scalable Data Strategies for Scientific AI-enabled Breakthroughs
Fact Sheets
2023-12-04

Get the essentials from an expert discussion on AI featuring AWS and TetraScience.

Artificial intelligence (AI) stands on the brink of revolutionizing the biopharmaceutical industry. It promises to slash time to market, lower costs, mitigate risks, and create novel therapies. However, the main barrier to realizing these benefits is not the development of AI models but rather the quality and accessibility of the scientific data that feeds them.

The recent webinar "Scalable data strategies for scientific AI-enabled breakthroughs" featured insights from industry experts Naveen Kondapalli, Senior Vice President of Product and Engineering at TetraScience, and Himanshu Jain, Healthcare and Life Sciences Strategy Leader at AWS. They delved into the data challenges underlying scientific AI and discussed strategies to overcome them.

In this recap, we summarize four key takeaways from the conversation that will jumpstart your AI journey.

Research Report
Axendia Market Research Report: "The State of Generative AI in Life Sciences: The Good, The Bad, and The Ugly," Presented by TetraScience
Research Reports
2024-04-15

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Research Report
AWS & TetraScience: 500 Pharma Executives Research Survey
Research Reports
2022-11-16

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Research Report
2022 State of Digital Lab Transformation Industry Survey: Why Biopharma Is Replatforming To The Cloud
Research Reports
2022-11-16

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Video
Tetra Data and AI Workspace
Videos
2024-04-18

The Tetra Data and AI Workspace transforms how scientists interact with their data. Applications can now be deployed in a cloud workspace alongside your scientific data. The Data and AI Workspace deploys applications from popular software providers, custom apps built with industry feedback, and ground-breaking Scientific AI use cases designed by TetraScience.

This demo showcases the Data and AI Workspace using an instance of FlowJo deployed directly to the Tetra Data Platform. You will see how data on the platform can be quickly and easily analyzed in FlowJo and automatically sent to Benchling.

Video
Scientific AI Companion for Data Analysis
Videos
2024-04-18

Our new AI-powered tool transforms how scientists analyze their data. With simple conversational prompts, they can retrieve data and generate visualizations—in just seconds. Tetra Scientific AI will help scientists save time, eliminate errors, and gain deeper insights into their data.

This demo shows how a scientist can quickly aggregate and analyze data from over 500 samples in a gene editing experiment, without manual data handling or processing.

Video
Media Formulation Optimization
Videos
2024-04-18

How efficiently cultured cells can produce a therapeutic protein depends largely on the media. However, developing an optimal formulation is a complex challenge. The permutations of media components and their concentrations are immense. Scientists often have to screen dozens to hundreds of formulations in the lab to identify the most effective ones. Now, AI can drastically speed up this process.

The Tetra Media Formulation Optimizer uses an advanced in silico model to predict the best formulations for a given cell line. This innovation has the potential to reduce wet lab experiments by up to 88 percent.

Video
Lead Clone Selection Assistant
Videos
2024-04-16

Lead clone selection is usually a time-consuming and resource-intensive phase in cell line development. However, AI is poised to transform this process.

Introducing the Tetra Lead Clone Selection Assistant, powered by Tetra Scientific Data and AI Cloud™ and Google Cloud Vertex AI. This application can predict the most promising lead clones in silico, enabling faster and better decision making. As a result, it has the potential to shorten lead clone selection from five months to just one month.

Video
Collaboration Substrate
Videos
2024-03-12

Organizations today leverage CROs and CDMOs more than ever, yet the technologies supporting their collaborations haven’t changed since the last century. Email and SharePoint are the technology backbone. No wonder organizations struggle with data exchange, real-time results, and monitoring contract fulfillment.

But it’s not just external collaboration. As executives drive their companies to AI-assisted drug discovery and development, internal data collection, harmonization, and collaboration must be streamlined. AI’s success hinges on the availability of clean, trusted data.

Enter TetraScience’s Collaboration Substrate. This solution fixes the broken data exchange model between organizations by leveraging modern cloud technology to organize, manage, and secure data exchanges. It also helps internal teams boost their efficiency via modern tooling. The Substrate provides fine-grained visibility into who’s handled the data in your experiments and what they’ve done. Its engineered data is ready for data analytics and seamless integration into your ELN, LIMS, and other applications. You become empowered to make real-time decisions on data quality.

Video
Automating analysis of NGS data with TetraScience and AWS HealthOmics
Videos
2024-02-23

Discover how combining the Tetra Scientific Data and AI Cloud™ with AWS HealthOmics streamlines and enhances the analysis of next-generation sequencing (NGS) data. This solution provides a comprehensive framework for metadata management, facilitating the analysis of properly contextualized datasets.

Video
Bidirectional data workflows between Benchling and Chromeleon
Videos
2024-02-15

Biopharma scientists and IT struggle to ensure a seamless flow of data between an electronic lab notebook (ELN) and a chromatography data system (CDS). They often resort to inefficient manual processes. Consequently, only a fraction of the chromatography data and context is captured, leaving the rest siloed. To make matters worse, most CDS data is trapped in proprietary formats, making it inaccessible.

Bidirectional data workflows using the Tetra Benchling Connector and Tetra Chromeleon Agent solve these challenges and bring round-trip lab automation into scientific workflows. See the tools in action in this video.

For more information, read our blog post.

Video
Collecting data from files
Videos
2024-01-18

Learn how the Tetra Data Platform collects files from scientific instruments and centralizes them in the cloud. This demo covers the following topics:

  • Automated data collection
  • Automated house cleaning
  • Centralized scientific data cloud
  • Automated notifications
Video
Collecting data from applications
Videos
2024-01-15

Discover how the Tetra Data Platform collects data from applications, including chromatography data systems, ELNs, LIMSs, and robotics systems. This demo highlights:

  • Automated data collection
  • Leveraging of vendor API/SDK
  • Manual file upload
  • Contextualization with metadata
  • Advanced search
  • File versioning and audit logs
Video
Contextualization in the Tetra Data Platform
Videos
2023-12-21

Explore how the Tetra Data Platform contextualizes data to make it findable and accessible. This demo shows how the platform enables users to enrich primary data with metadata through various methods, such as

  • Manual addition
  • Agent configuration
  • Extraction from file names
  • Retrieval from registries or applications
  • API

Video
Visualizing Batch Release with the Tetra Scientific Data Cloud
Videos
2023-11-06

Discover how the Tetra Scientific Data Cloud facilitates analysis and visualization of batch release and stability data. In a follow-up to the video “Accelerating Batch Release with the Tetra Scientific Data Cloud,” this demo uses a titration experiment workflow to show how the Tetra Scientific Data Cloud automates the transformation of raw data into purpose-engineered Tetra Data. Analytics and visualization tools can then seamlessly consume that Tetra Data and will update automatically as new scientific results are collected and transformed into Tetra Data.

Video
One Platform for All Scientific Data (Scientific Data is Complex, Managing It Doesn’t Have to Be)
Videos
2023-02-16

Biopharma organizations continue to spend time and money managing scientific data scattered across disconnected silos, ad hoc file shares, and legacy solutions. Why not future-proof with one open platform for all scientific data?

The Tetra Scientific Data Cloud™, purpose built for scientific data, enables IT to say goodbye to countless hours spent maintaining dozens or hundreds of instruments and informatics software applications. With open and centralized data in the cloud, scientists are able to search faster and more easily, create new workflows, and gain insights from analytics, visualizations, and AI/ML. Unlock innovation with the Tetra Scientific Data Cloud.

Watch the video to see how the Tetra Scientific Data Cloud simplifies data management and unlocks innovation.

Video
Tetra Data to Benchling Notebook
Videos
2023-09-18

See how Tetra Data is pushed into Benchling Notebook. The TetraScience integration to Benchling is powered by Tetra Pipelines, utilizing DataWeave as the simple transformation scripting language. DataWeave scripts enable scientific data engineers to configure pipelines that match their data schemas in Benchling without worrying about the underlying code or infrastructure of the integration mechanism.

Presented by Ian Cooper, Integrations Architect, this video is part of the Tetra Product Short Cuts series, which shows what TetraScience does for your scientific data—in short order.

Learn more about the Tetra Benchling Integration.

Video
Tetra Data Platform v3.6: Improvements for scientific data engineers
Videos
2023-11-19

Explore some of the new features and enhancements in Tetra Data Platform v3.6 designed to benefit scientific data engineers. This video shows how low-code DataWeave scripting allows engineers to build data pipelines with fewer developer resources than building custom protocols. It also demonstrates how bulk data processing makes it easier to reprocess files after changes to pipeline functionality.

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Tetra Data Platform v3.6: Pluggable connectors
Videos
2023-11-19

See how the pluggable connector framework provided with Tetra Data Platform v3.6 enables faster integration of scientific instruments and applications with the Tetra Scientific Data Cloud. Teams can take advantage of newly released connectors without having to wait for a platform upgrade. This video shows how a user can install a new connector in the cloud, configure the connector, and then later upgrade the connector to a new version as soon as it’s available.

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Tetra Data Platform v3.6: Multi-byte character support
Videos
2023-11-19

Learn how the multi-byte character support introduced with Tetra Data Platform v3.6 empowers scientists to use Japanese language in their workflows. See in this video how scientists now can:

  • Ingest scientific data with multi-byte characters
  • Enrich data with multi-byte characters in file labels
  • Search files that use multi-byte characters
  • Use labels with multi-byte characters as trigger conditions for pipelines

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Tetra Data Platform v3.6: Increased file journey visibility
Videos
2023-11-19

See how the file journey timeline capabilities in Tetra Data Platform v3.6 enables platform administrators to visualize file activity in various stages of processing. Using health monitoring, file information, and events timeline pages, users can track Tetra Data creation at any moment and trace files to confirm data integrity.

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Tetra Data Platform v3.6: IDS Entity Relationship Diagrams (ERDs)
Videos
2023-11-19

Discover how the introduction of Intermediate Data Schema (IDS) Entity Relationship Diagrams (ERDs) in Tetra Data Platform v3.6 offers a more intuitive way to interface with schemas via SQL. This video shows how ERDs provide a visual map of how all SQL data tables are related to each other. ERDs can help streamline the process of building analytics and AI applications using engineered scientific data.

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Tetra Data Platform v3.6: Self-service pipelines
Videos
2023-11-19

Learn how Tetra Data Platform v3.6 streamlines the process of creating custom pipelines that transform raw scientific data into AI-ready Tetra Data. This video provides two examples of custom pipelines: one adds labels to data; the other also harmonizes, further enriches, and then pushes data to a third-party application. For both examples, the video shows how newly introduced protocol.yml files help simplify pipeline development.

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Tetra Data Platform v3.6: Enhanced data findability
Videos
2023-11-27

Learn how Tetra Data Platform v3.6 makes it easier for scientists to find their data on the TetraScience platform. In particular, this video shows how scientists can more easily query for multiple terms. It also shows how they can select elements within Intermediate Data Schema (IDS) files, search for those terms, and find all IDS and raw files that contain those elements, providing greater visibility into raw data than before.

To learn more about the new features and enhancements in v3.6, read the full release notes.

Video
Streamlining Research with the Tetra Scientific Data Cloud
Videos
2023-11-06

Discover how biopharma teams can automate data processing and unlock new data-driven insights with the Tetra Scientific Data Cloud. Through a plate reader demo, this video describes how the Tetra Scientific Data Cloud harmonizes and enriches raw instrument data. It can then automatically correlate sample information with scientific results, eliminating the time-consuming, error-prone process of copying and pasting data.

The video also explains how teams can translate scientific data into insights using visualization tools built on the Tetra Scientific Data Cloud. In the demo, a visualization tool transforms plate reader information into heatmaps and IC50 curves, which can be used to accelerate discovery of unique drug candidates through data science analysis.

Video
Streamlining Data Processing Between an ELN and Lab Equipment
Videos
2023-10-30

Learn how the Tetra Scientific Data Cloud can help organizations simplify data processing while employing electronic lab notebooks (ELNs), instrument control software, and visualization tools. Using a small-scale fermentation experiment as an example, this video highlights how the Tetra Scientific Data Cloud can help an upstream processing team reduce manual steps as they create an experiment in an ELN, add metadata, trigger a run, and then automatically capture results as harmonized data back in the ELN. Harmonized data can then be used in a visualization dashboard or other downstream analytics or AI applications.

Video
SIMPLO Dashboard for Chromatography: Method Performance Demo
Videos
2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on method performance, which is relevant to lab managers and quality control teams. By using this dashboard, you can quickly identify the most common culprits of method performance issues. Benefits include reduced downtime and rework, enhanced data integrity, and superior operating performance.

Video
SIMPLO Dashboard for Chromatography: Stability Demo
Videos
2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on stability, which is relevant to scientists in quality control, formulation, and development. The SIMPLO dashboard streamlines analysis of stability studies, enabling you to focus on deriving insights from the data instead of aggregating the data.

Video
SIMPLO Dashboard for Chromatography: System Usage Demo
Videos
2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on system usage, which is relevant to lab managers and purchasing decision makers. By tracking the usage of all your chromatography systems, you can obtain a comprehensive view of fleet utilization and make more informed decisions on capital expenditure.

Video
SIMPLO Dashboard for Chromatography: Instrument Performance Demo
Videos
2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on instrument performance and system suitability, which is relevant to analysts and lab technicians. The SIMPLO dashboard streamlines analysis of system suitability testing, enabling you to quickly identify trends from multiple injections or across multiple instruments.

Video
SIMPLO Dashboard for Chromatography: Executive Overview
Videos
2023-12-08

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This video provides an overview of six dashboards within the application, the context for their use, and the benefits provided to the user. Learn how SIMPLO empowers chromatography analysts to quickly and easily analyze their data, leading to faster and better scientific outcomes.

For a deeper dive, watch our SIMPLO dashboard demos:

Video
SIMPLO Dashboard for Chromatography: Column Utilization Demo
Videos
2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on column utilization, which is relevant to chromatography scientists and lab technicians. By tracking the history of each chromatography column in detail, you can ensure the right column is used for any given experiment and retire old columns before they cause out-of-specification events.

Video
Sciborgs in action: Bioassay development and high-throughput screening
Videos
2023-11-30

Meet Katja and Tal, two of our Sciborgs currently helping customers accelerate scientific outcomes with the Tetra Scientific Data Cloud™.

In this video, you'll learn how they improved bioassay development and high-throughput screening for two biopharma customers.

Sciborgs are at the heart of Tetra Catalysts. They are an elite team of Scientific Business Analysts and Scientific Data Architects embedded in your organization who focus on business outcomes and identify high-impact areas to maximize ROI.

For a detailed look at our Sciborgs, read our blog post on how Sciborgs Drive Better Science.

Video
SIMPLO Dashboard for Chromatography: Compliance Demo
Videos
2023-10-27

With the SIMPLO (stability, instrument and method performance, and lab optimization) dashboard, powered by the Tetra Scientific Data Cloud, you can easily visualize all your chromatography data.

This demo focuses on compliance metrics, which are particularly useful to quality control and quality assurance teams but are also relevant to lab scientists who use chromatography data systems. By proactively tracking this information, you can make data-driven decisions for risk management and prevent out-of-specification events.

Video
Self-Service Tetra Data Pipelines
Videos
2023-09-18

See how to build custom workflows with Self-Service Tetra Data Pipelines. TetraScience has a large and growing library of productized pipelines to collect, enrich, harmonize, and publish data. However, at times, you may need to expand the platform with customized capabilities. That's where Self-Service Tetra Data Pipelines come in. They're easy to code, written in Python, and scalable.

Presented by Jeremy Karnowski, Principal Technical Trainer, this video is part of the Tetra Product Short Cuts series, which shows what TetraScience does for your scientific data—in short order.

Learn more about Self-Service Tetra Data Pipelines.

Video
Meet our Sciborgs
Videos
2023-06-06

Meet Katja and Tal, two of our Sciborgs currently helping customers accelerate time-to-value with the Tetra Scientific Data Cloud™.

In this video, you will learn about their background, what makes scientific business analysts and data architects unique, and why having Sciborgs work directly with scientists brings so much value to customers.

Sciborgs, like Tal and Katja, are at the heart of Tetra Catalysts. They are an elite team of classically trained scientists with technology expertise and industry leading experience in:

  • Speeding time-to-value when deploying the Tetra Scientific Data Cloud
  • Identifying new opportunities to improve the use of your scientific data
  • Augmenting science by leveraging industry best practices

Watch the video to meet our Sciborgs.

For a detailed look at our Sciborgs, read our blog about how Sciborgs Drive Better Science.

Video
Making Scientific Data AI Ready
Videos
2023-10-18

Too many biopharma organizations spend excessive resources manually transferring data among instruments and applications, or constructing rigid point-to-point data connections. They waste significant time curating and preparing data for advanced analytics and AI. 


Learn how the Tetra Scientific Data Cloud can help you harness the full value of your scientific data and improve scientific outcomes by accelerating the scientific data journey, enabling end-to-end scientific workflows, and capitalizing on the power of AI/ML. 

 

This video provides a walkthrough of the Tetra Scientific Data Cloud, highlighting how it enables organizations to:

  • Automatically collect and centralize data for easy data access
  • Contextualize data with rich metadata for immediate data retrieval
  • Standardize and harmonize data and metadata for comparison and visualization
  • Prepare data for advanced analytics and AI
Video
How to Free Your Data from Isolation
Videos
2023-07-25

Get a quick recap of our webinar exploring how dispersed scientific data can easily be accessed, enriched, and harmonized for analytics and AI/ML with the Tetra Scientific Data Cloud™.

Featured case studies include:

  • High-throughput screening
  • Collaboration with contract research organizations (CROs)
  • Batch release
  • Instrument utilization

Watch the entire webinar on demand.

Video
Implementing Bidirectional Workflows with Signals Notebook and tiamo
Videos
2023-10-19

Learn how the Tetra Scientific Data Cloud enables biopharma teams to implement automated bidirectional workflows, eliminating time-consuming, error-prone manual data movement. In this demo, see how the Tetra Scientific Data Cloud can send sample lists from Revvity’s Signals Notebook to Metrohm AG’s tiamo titration instrument control software, and then automatically make scientific results available back in the electronic lab notebook (ELN) once the instrument run is complete. This bidirectional workflow accelerates processes and enables teams to stay focused on scientific work, not wasting time on data management.

Presented by Ian Cooper, integrations architect at TetraScience, this video is part of the Tetra Product Short Cuts series, which shows what TetraScience does for your scientific data—in short order.

Read more about the TetraScience integration with Revvity Signals Notebook and the Tetra File-Log Agent, which enables integration with Metrohm tiamo software.

Video
IDBS E-WorkBook Integration with the Tetra Scientific Data Cloud
Videos
2023-10-27

Learn how the Tetra Scientific Data Cloud streamlines data processing workflows, eliminating the tedious manual steps of transferring data from scientific instruments to electronic lab notebooks (ELNs). This demo video shows how teams can automatically transfer raw data from instruments to the Tetra Scientific Data Cloud; transform data into the standardized JSON-based Tetra Data format; and then easily initiate the automatic transfer of harmonized files to IDBS E-WorkBook using an integrated connector from TetraScience.

Video
High-Throughput Screening with the Tetra Scientific Data Cloud
Videos
2023-10-30

Discover how the Tetra Scientific Data Cloud can simplify data management for high-throughput screening (HTS). This demo video shows how the Tetra Scientific Data Cloud eliminates manual data collection and transformation, as well as the time-consuming process of constructing point-to-point integrations. Using the example of liquid handler and plate reader files, the video shows how the Tetra Scientific Data Cloud automatically:

  • Collects instrument files
  • Adds relevant contextual information
  • Harmonizes files into the vendor-agnostic Tetra Data format
  • Distributes files to an ELN

Organizations can then easily reuse Tetra Data in additional analytics, data visualization, and AI applications.

Video
Ensuring a safe (and compliant) ride for your data
Videos
2023-06-20

In this short instructional video, Dr. Mike Tarselli discusses how TetraScience approaches quality and compliance.

The colorful world of hot air balloons and the rigorous world of regulatory compliance aren’t often intertwined, but in this video TetraScience’s Mike Tarselli discusses how the preparation, testing, and validation efforts of one are a useful metaphor for the other.

Learn precisely how TetraScience utilizes a structured process for quality and compliance controls. This includes: 

  • A quality management system that determines if TetraScience can safely contain, hold, and manage data that is intended for GxP use downstream (ISO 9000)
  • A software development lifecycle that ensures our business operates both appropriately and ethically and enables us to build our cloud services in a standardized, repeatable way
  • A verification suite for function, unit, and downstream testing that ensures “fit for purpose” 
  • End-to-end use case testing where TetraScience runs data through simulations of field usage (GAMP 5)
Video
Tetra Empower Agent v5.2: Increased performance, reliability, and scalability
Videos
2023-11-28

Learn how the release of Empower Agent v5.2 by TetraScience improves agent performance, reliability, and scalability as you ingest data from the Waters Empower Chromatography Data System (CDS) into the Tetra Scientific Data Cloud™. New capabilities provide scientists with significantly faster access to data and reduce the likelihood of processing errors—even as organizations scale the volume of chromatography projects.


This video highlights key features and enhancements, including:

  • Horizontal scalability
  • Project prioritization
  • Maximum number of projects per scan
  • Agent connectivity monitoring
  • Ingestion of project and user access permission data

Video
Accelerate Scientific Workflows with Bidirectional Data Movement
Videos
2023-10-04

Learn how the Tetra Scientific Data Cloud streamlines scientific workflows by automating the bidirectional movement of data between informatics systems and chromatography data systems.

This video shows how the TetraScience platform collects data from an electronic lab notebook (ELN), transforms that data into a standardized format, and writes a new sample set method, which can be used to run an experiment in a chromatography data system. The platform then collects experiment results and harmonizes the scientific data so it can be easily integrated back into the ELN.

Learn more about Tetra Integrations and see a full list of current and upcoming releases.

Video
Tetra Data Overview Video
Videos
2023-03-15

Accelerating biotech and biopharma research, development, and manufacturing requires a purpose-engineered platform for ingesting and transforming data, making it Compliant, Harmonized, Liquid, and Actionable.

Video
Andelyn - the Digital CDMO
Videos
2023-04-17

Andelyn Biosciences is a biopharmaceutical CDMO, pioneering solutions that turn hope into reality™.

In this short video, Bryan Holmes, Vice President of Digital and Technology Solutions at Andelyn, discusses how despite advances in technology, many biopharmaceutical companies still rely on manual data processing.

See how Andelyn is solving this challenge by streaming data to the Tetra Scientific Data Cloud™. As a result, Andelyn can aggregate data faster, provide better insights, and accelerate development timelines and bring more treatments to more patients.

Video
Accelerate Scientific Insights Through the Tetra Partner Network
Videos
2023-06-06

Learn how the TetraScience partnership with PerkinElmer Informatics accelerates scientific insights for biopharmaceutical customers. This partnership connects the full PerkinElmer Informatics Signals Research™ Suite to the Tetra Scientific Data Cloud™, creating a single source for all laboratory information that benefits scientists and IT departments. By focusing on solving customer challenges, this partnership demonstrates how two leading companies work together to maximize scientific data for improved outcomes.

Video
Benchling–Tetra Scientific Data Cloud Integration
Videos
2023-10-26

Discover how organizations can eliminate manual steps during data processing through integration of scientific instruments and applications with the Tetra Scientific Data Cloud. This video shows how scientists can create an experiment in the Benchling electronic lab notebook (ELN), send information to instrument control software, start a run, and then automatically extract experimental data. The Tetra Scientific Data Cloud harmonizes data and passes it back to the ELN. Team members can track data movement in real time within the Tetra Scientific Data Cloud interface.

Video
Accelerate Upstream Bioprocessing with the Tetra Scientific Data Cloud
Videos
2023-11-06

Learn how the Tetra Scientific Data Cloud can help streamline upstream bioprocessing by automating the collection, transformation, and publication of data. As this video explains, the Tetra Scientific Data Cloud can reduce data management burdens and help ensure data integrity while also facilitating file searches and enabling the consumption of data in a variety of endpoints, including analytics and AI tools. The video shows how a real-time TIBCO Spotfire dashboard built on the Tetra Scientific Data Cloud can help scientists visualize and analyze experimental results to generate new insights rapidly.

Video
Accelerating Batch Release with the Tetra Scientific Data Cloud
Videos
2023-10-26

Learn how the Tetra Scientific Data Cloud uses automation to eliminate error-prone, inefficient manual transfer of information between instruments and informatics systems. Using a titration experiment workflow as an example, this video shows how the Tetra Scientific Data Cloud automates transfer of sample information, weight data, and titration experiment results between Signals Notebook and both LabX and tiamo instrument software.

Solution Brief
ddPCR in gene therapy: Solving data workflow challenges
Solution Briefs
2024-02-22

Droplet digital polymerase chain reaction (ddPCR) is increasingly being used in the development and manufacturing of gene therapies. The technique can measure the quantity and quality of gene therapy vectors as well as evaluate cells treated with the therapy.

In this solution brief, we explore the applications of ddPCR in gene therapy and the data challenges faced by scientists who routinely use the technique. We also show how the Tetra Scientific Data and AI Cloud™ streamlines and enhances ddPCR workflows, leading to faster and better scientific outcomes.

Solution Brief
The Tetra Scientific Data and AI Cloud
Solution Briefs
2023-12-21

Biopharmaceutical organizations that want to speed therapeutics development and reduce costs through Scientific AI must bridge the gap between their scientific raw data and value-generating AI applications.

The Tetra Scientific Data and AI Cloud offers the only path to closing that gap. It is the factory for producing large-scale, liquid, compliant Tetra Data, which is purpose engineered for science and AI. The platform enables organizations to fully harness their data for Scientific AI, accelerating and improving scientific outcomes.

Discover more in our solution brief.

Solution Brief
Untangling biopharma data: can you really do it yourself?
Solution Briefs
2022-09-26

Building and maintaining your own scientific data management solution is fraught with hidden costs and risks. Eliminate challenges with a purpose-built data platform for biopharmaceutical science.

Solution Brief
GxP for the Scientific Data and AI Cloud
Solution Briefs
2024-01-26

TetraScience employs a comprehensive, 3 pillared approach to regulatory compliance—adhering to essential industry guidance and standards, including:

  • Good Manufacturing Practices (GMP)
  • Good Laboratory Practices (GLP)
  • Good Automated Manufacturing Practices (GAMP 5 2nd edition)
  • Food and Drug Administration (FDA) 21 CFR Part 11
  • FDA Computer Software Assurance (CSA) Guidance
  • EU Annex 11

Learn how TetraScience can accelerate your journey to quality and compliance by:

  • Reducing validation effort by 80%
  • Increasing ROI by 2-3x
  • Slashing deployment time by two-thirds
  • Simplifying change management

Solution Brief
Tetra Scientific Data and AI Cloud - Tetra Catalysts
Solution Briefs
2023-02-09

In order to help our customers maximize the value of the Tetra Scientific Data and AI Cloud™, TetraScience created a full-stack offering. The delivery of these capabilities through our Tetra Catalysts will help provide a better understanding of the current state of the scientific data journey, identify opportunities for improvement beyond the initial scope, and optimize and speed the deployment for specific scientific outcomes, based on best practices and industry trends.

Read this solution brief to understand how TetraScience’s combined expertise in science and technology can minimize the burden of your teams while maximizing the ROI of your deployment.

Solution Brief
Move life sciences beyond data management
Solution Briefs
2022-09-26

Learn how Tetra Scientific Data and AI Cloud takes data management beyond traditional approaches by centralizing, enriching, harmonizing, and curating scientific data in a flexible cloud-native platform.

Solution Brief
Accelerating high-throughput screening insights with the Tetra Scientific Data and AI Cloud
Solution Briefs
2022-10-04

Biopharma organizations use high-throughput screening (HTS) to parallelize experiments to identify higher-quality drug discovery and development leads more quickly. 

HTS currently relies on manual, error-prone process to collect and transform scientific data into formats capable of being used within informatics applications or analytics, delaying downstream drug development.

In this solution brief, you will learn how the High-Throughput Screening Tetra Scientific Application brings cohesion to your HTS workflows by:

  • Increasing screening throughput through end-to-end automation
  • Eliminating error-prone, manual updates to inventory and registration systems
  • Harmonizing data across multiple formats to enable analytics and visualizations, such as SAR and in-silico evaluations
  • Providing a centralized historical record and scientific context to scientific data and results
White Paper
Challenges and Future Directions in CMC
Whitepapers & eBooks
2024-04-10

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White Paper
The Scientific AI gap
Whitepapers & eBooks
2023-12-18

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White Paper
The data tenets of Pharma 4.0
Whitepapers & eBooks
2023-09-12

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White Paper
Manual no more: Automating the scientific lifecycle
Whitepapers & eBooks
2022-09-30

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eBook
Unlock the full potential of your scientific data
Whitepapers & eBooks
2022-12-21

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Webinar
How the cloud and AI are transforming pharmaceutical quality control
Webinars
2024-05-15

A new paradigm that accelerates product releases with confidence

Today, quality control (QC) in biopharma faces several critical challenges. Due to outdated methodologies and disconnected systems, QC teams grapple with error-prone processes, data silos, and limited insight into quality trends. 

This webinar explores how a modern, cloud-based platform and laboratory information management system (LIMS) can transform QC to meet the demands of expedited product releases. We’ll discuss how purpose-engineered, large-scale, compliant, and liquid datasets enable automated workflows and analytics/AI-driven insights. Plus, we’ll show an intuitive interface that unifies quality assurance (QA) and QC to streamline critical quality processes. 

During this webinar, you'll learn how to:

  • Move from a legacy LIMS to an advanced, future-proof, and compliant LIMS in the cloud
  • Build a foundational data strategy for digital QC, enabling easier compliance and improved quality
  • Empower data-driven decision making through dashboards and AI
  • Accelerate batch release with improved right-first-time test execution
  • Reduce total cost of ownership while increasing decision speed and confidence using a holistic approach to quality 

Webinar
Making BioPharma AI-Ready
Webinars
2023-12-08

Creating scientific data for analytical development

Heterogeneous data formats prohibit advanced analytics and AI

The pharmaceutical industry is experiencing a surge in scientific data due to the growing complexity of new therapeutic modalities and the urgency to bring improved therapeutics to market more efficiently. However, this valuable scientific data is often trapped in on-premise instrument control and acquisition software, compounded by the challenge of dealing with diverse vendor-specific data formats, thus inhibiting the potential of AI.

Is engineered scientific data the force multiplier for AI?

In this webinar, we will explore a use case involving a leading pharmaceutical company that aims to provide its scientists and engineers with analytics and AI-ready data across multiple laboratories, departments, and facilities.

By making this data available, scientists can leverage prior work to inform their actions and improve scientific outcomes. Moreover, they can identify and accelerate the most promising scientific strategies , leading to substantial time and cost savings.

This webinar will address several crucial aspects of maximizing the value of scientific data in the biopharmaceutical industry, including:

  • Centralizing and harmonizing scientific data
  • Improving collaboration and data sharing
  • Leveraging Semantic AI in biopharma
  • Managing diverse taxonomies efficiently
  • Automating data preparation and engineering

Don’t miss this opportunity to discover how your organization can maximize the value of your data and accelerate scientific advancements through AI.

Webinar
The Role of Digital CDMOs in Biopharma
Webinars
2022-11-23

Watch this webinar with Andelyn Biosciences, a full-spectrum CDMO, to learn about their critical initiative of a Connected Plant that will enable biopharma to replatform their scientific data and workflows to the cloud. This innovative connected approach represents a generational movement transforming the way therapeutics are developed, validated, and brought to market.


Webinar
Unlock Insights from Experimental Data and Empower Data Science
Webinars
2023-06-06

The Waters Empower Data Science Link (EDSL), powered by TetraScience, enables scientists and engineers to do more with their valuable experimental data. From enabling chromatography fleet management to deducing new trends across experiments or injections - making lab data FAIR and usable accelerates the move to a digital lab.

This presentation will cover how the data science link helps support Allotrope’s mission (universal formats, interoperability, simplified IT and system integration) and promotes improved data science while using existing resources. This session will focus on:

  • High-throughput, automatic acquisition and conversion of data into a vendor-agnostic and data science-compatible format in the cloud, (which can be easily converted to the Allotrope Data Format (ADF) through third-party tools)
  • How bidirectional communication between chromatography instrumentation, software, and tools enables sample set method creation, eliminates manual transcription, and increases data integrity
  • Easy query of converted data based on sample ID, method name, and other fields using common data science tools
  • TetraScience’s membership in the Allotrope Partner Network and how it informs analytics on chromatography data system (CDS) data


Webinar
The connected lab: maximizing the intersection of science and data
Webinars
2023-06-07

Scientific data is the most valuable asset of a biopharmaceutical company. Yet, there are still many roadblocks and misunderstandings of how best to realize the scientific and business potential of data. By using modern cloud platforms combined with the right strategy, a connected lab is achievable today and can serve as the foundation for advanced analytics, AI and ML.

Speakers

Kim Forte, Principal | Life Sciences, Deloitte

Mike Loos, Vice President Solutions Architecture, TetraScience

Anil Verma, Life Sciences GTM Leader, Amazon Web Services (AWS)

Webinar
Taking Waters Empower to New Heights with the Tetra Scientific Data Cloud
Webinars
2023-10-27

Learn how the Tetra Scientific Data and AI Cloud augments the capabilities of the Waters Empower chromatography data system (CDS)—as well as other scientific instruments and applications. This webinar video explains how the Tetra Scientific Data and AI Cloud can:

  • Automatically collect data from Empower
  • Contextualize data
  • Harmonize data into vendor-agnostic, AI-ready Tetra Data
  • Verify data quality and enrich data
  • Simplify searches for particular files and enable exploration of SQL tables
  • Allow users to analyze data with tools such as TIBCO Spotfire
  • Publish data to other data science, visualization, and AI applications

Webinar
Scalable data strategies for scientific AI-enabled breakthroughs
Webinars
2023-11-06

Artificial Intelligence (AI) has the potential to transform the biopharmaceutical value chain. However, its utility across the enterprise is hampered not by the science but by the data – its quality, quantity, and accessibility. As the volume and complexity of scientific data surge, and with the arrival of generative AI and large language models (LLMs), it has become even more challenging to reduce the gap between raw scientific data and AI-enabled outcomes that are accurate, reliable, and unbiased.

In this webinar, we’ll show how a cloud-native platform, purpose-built for science, and powered by AWS, creates large-scale, liquid data sets that can fuel generative AI models. Migrating raw scientific data to the cloud is insufficient for the meaningful utilization of AI. Only by replatforming and engineering data at scale are biopharma organizations able to deploy accurate LLMs that can radically accelerate and improve scientific outcomes. We’ll also share real-world use cases where generative AI has created novel breakthroughs.

IN THIS WEBINAR YOU’LL LEARN HOW TO:

  • Assess the generative AI readiness of your data architecture
  • Replatform and engineer scientific data in the cloud using a centralized or federated strategy
  • Enable rapid consumption of engineered scientific data while optimizing cloud performance, scale, and cost
  • Securely develop and deploy generative AI models to derive scientific insights across multiple use cases such as integrated omics, protein binding, and formulations
  • Utilize large datasets with LLMs for predictive analyses in toxicology, and in silico ADMET
  • Ensure privacy, security, and transparency through generative AI services
Webinar
Tetra in Action: Optimizing High-Throughput Screening Data Workflows
Webinars
2023-06-02

High-throughput screening (HTS) offers the promise of identifying higher-quality leads faster and bringing ground-breaking drugs to the market. Unfortunately, the HTS processes at many companies rely on manual, error-prone processes to collect data sets, add critical metadata, and transform data to be usable by informatics applications and analytics.

You will learn:

  • How scientific data challenges reduce the effectiveness of high-throughput screening workflows
  • Ways the Tetra Scientific Data and AI Cloud™ automates processes, improves quality, and enables insights
  • High-throughput screening scientific data best practices

This webinar features a product demo where you can see first hand how the Tetra Scientific Data and AI Cloud can help your organization with its HTS workflows.

Webinar
Liquid Chromatography Meets Liquid Data
Webinars
2023-12-08

Hear how the Tetra Scientific Data and AI Cloud can help organizations derive more value from their chromatography data. This webinar video shows how organizations can use the Tetra Scientific Data and AI Cloud to help create a system suitability dashboard with TIBCO Spotfire to identify instrument issues and avoid misleading experimental results. It also shows how the Tetra Scientific Data and AI Cloud can simplify the search and analysis of data generated by chromatography data system (CDS) instruments, such as Waters Empower.

Webinar
Lab utilization: How to optimize resources with harmonized scientific data
Webinars
2023-10-27

TetraScience is joined by Clustermarket and WattIQ for a webinar discussing how to optimize resources with harmonized scientific data in your lab


Webinar
How to transform scientific data workflows with Sciborgs
Webinars
2023-06-30

Learn how Sciborgs identify the most painful processes for scientists and design solutions with the Tetra Scientific Data and AI Cloud™. Watch this webinar to learn how Sciborgs:

  • Support you in the identification of suitable use cases to uncover new, high-impact insights
  • Help you achieve faster, better implementation of scientific data solutions that enable all stakeholders (scientists, data scientists, data engineers, IT staff)​​​​​​​
  • Guide you through replatforming to replatform scientific data to the cloud and leverage it for improved scientific outcomes
Webinar
How to Free Your Data From Isolation: Learn Why Biopharma Leaders are Investing in the Cloud
Webinars
2023-05-02

Our speakers explore how science-based organizations are producing more data than ever before, and why digital transformation strategies to leverage this data, like AI and machine learning, require the right infrastructure of connected, searchable, and harmonized data.

The presentation features real-world case studies in high-throughput screening (HTS), contract research organization (CRO) data management, batch release and testing, as well as the digitalization of a contract development and manufacturing organization (CDMO).

Webinar
Cloud-confident GxP: Align with GAMP5 (v.2), Think Differently, Achieve Better Results
Webinars
2023-06-06

Security and safety underlie cloud compliance. With the recent release of ISPE’s GAMP5 (v.2), biopharma companies are moving ever more towards continuous verification and risk-based approaches. If you manage your lab’s data integrity and traceability, tune in to learn best practices for GxP data automation, including how to:

  • Build critical thinking from the GAMP5 (v.2) foundation
  • Automate risk monitoring
  • Collect FAIR data for governance in specific workflows
  • Incorporate new modalities easily
Webinar
Connecting Science: How an open, collaborative network of life-science vendors is transforming biopharma
Webinars
2023-06-05

Collaboration is commonly the basis for scientific innovation. Collaboration between life science vendors is less common.

The success of the biopharmaceutical industry depends upon leveraging scientific knowledge derived from the best instrumentation and software available, which produce a multitude of disconnected data formats.  Biopharma customers are now demanding that the vendor industry work collaboratively to connect their scientific workflows.

This webinar will provide valuable insights for biopharmaceutical scientists, lab directors, IT professionals, and life science vendors who want to learn:

  • How an open network of life-science vendors accelerates scientific outcomes
  • Before and after impact on scientific workflows, such as protein purification and cell profiling by flow cytometry
  • The cloud and data engineering technologies that enable data liquidity independent of instrument modality
  • How life science vendors are replatforming, moving from a closed to open ecosystem model focused on maximizing the value of scientific data
Webinar
Calibrating Your Scientific Data Strategy Applying FAIR Principles in the Cloud
Webinars
2023-06-05

A new research survey of 500 biopharma executives, commissioned by TetraScience and AWS, reveals why life sciences companies need to rethink their data platforms. Replatforming scientific data to an open cloud platform while transforming the data to FAIR (Findable, Accessible, Interoperable, Reusable) principles significantly impacts three key industry drivers:

  • Speed: Learning from experiments faster, reducing time to market for final molecules.
  • Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI).
  • Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

‍The speakers will also share insights and updates from the Bio-IT World Conference. Whether you’re just getting started or are developing the next phases of your replatforming strategy, this webinar will provide you with essential information and key insights.

Learning Objectives:

  • Competitive advantages to developing a scientific data cloud strategy
  • Best approaches to getting started with replatformed scientific data in the cloud
  • Long-term advantages, including moving into ML, AI, and advanced analytics
Webinar
A New Paradigm in Bioprocessing Intelligence to Accelerate Time to Market
Webinars
2023-11-07

Capitalizing on the power of AI for biopharma requires a new approach to data. In this webinar presented by TetraScience and Körber, hear how your company can collect scientific data from all sources across the product life cycle and then transform it into AI-ready data. And you’ll hear how a top 25 global biopharma company is leveraging scientific data in the Tetra Scientific Data and AI Cloud to gain real-time process intelligence to understand sources of variability.  

You’ll also learn how to:

  • Generate new insights by visualizing and analyzing data across multiple teams
  • Employ advanced analytics to define a scientifically sound chemistry manufacturing and controls (CMC) strategy
  • Find the root causes of process deviations by implementing process design and modeling best practices
  • Automatically generate reports to facilitate new drug application (NDA) or biologics license application (BLA) filing, good manufacturing practices (GMP), and continued process verification (CPV)

For a few highlights from the webinar, read this Q&A blog post with industry experts and webinar participants Prof. Dr. Christoph Herwig, senior scientific advisor, Körber Business Area Pharma, and Ken Fountain, vice president, scientific applications, at TetraScience.

Webinar
Biopharma smart factories: Achieving next-generation performance
Webinars
2023-06-05

Within the extreme complexity of biopharmaceutical manufacturing and quality, it might appear that there are many paths to produce next-generation performance. However, without first getting grounded in identifying the value of a solution to solve business problems, enormous amounts of time and money can be wasted with little impact. In this webinar, TetraScience and Deloitte share the four levers that make theSmart Factory a reality and how to master them using a digital maturity model.

 

You'll learn about the four levers and how to leverage data to produce the right analytical outputs in each:

  • Human Performance - reducing errors
  • Process Performance – increasing yield
  • Asset Performance – maximizing uptime
  • Network Performance – optimization outcomes

How to calibrate your current state using a digital maturity model

How to create a foundation that supports unrestricted digital innovation

How to maximize the value of your scientific data and analytics for competitive advantage

Webinar
3 Keys to Creating Connected Digital Labs that Scale
Webinars
2023-06-05

Are data silos, reduced scientific agility and hindered collaboration keeping companies from accelerating development and delivery of new therapeutics?

While R&D organizations increase their investments in generating and managing data to fuel new drug development, the systems and processes they’ve inherited or implemented often impair critical innovations. Can organizations do more by enabling digital labs?

In this webinar, attendees will hear from AWS and TetraScience how life sciences organizations can break down data silos and do more with less by making management of scientific data easier, less costly and less labor-intensive.

View this webinar to learn about creating connected digital labs and managing scientific data towards therapeutic development.

Infographic
Scientific AI trends in biopharma
Infographics
2023-12-21

The biopharmaceutical industry stands at a crossroads. R&D costs are rising. Sales are falling. And the process from discovery to commercialization remains long and complicated. Many biopharma leaders believe artificial intelligence (AI) will reverse these trends, potentially revolutionizing the entire value chain. They’re placing big bets on AI through investments in technology, people, and partnerships.

Explore the latest trends in Scientific AI by the numbers.

Infographic
Why biopharma is prioritizing data to build better medicines
Infographics
2023-03-01

Co-sponsored by:

AWS Logo

We spoke with 500 biopharma executives to discover how industry leaders plan to deliver better therapeutics to patients faster. Their answer was clear. Maximize the value of scientific data with cloud-enabled FAIR data to improve three key industry drivers.

  • Speed: Learning from experiments faster, reducing time-to-market for final molecules
  • Cost: Improving productivity, increasing operational efficiency, increasing return on investment (ROI)
  • Risk: Improving safety, reducing errors, improving compliance with regulatory requirements

Explore our key findings by downloading this infographic or see the full research report.

Infographic
Top 10 benefits of Tetra Catalysts
Infographics
2023-06-30

Digital transformation only matters if it delivers results. It takes the right combination of technology and know-how. Enter Tetra Catalysts. Learn how this end-to-end, "cloud and Sciborg" solution benefits biopharma throughout the entire value chain.

Read the solution brief for a deeper dive.

Infographic
What happens when AI disrupts pharma R&D?
Infographics
2022-07-30

The following trends highlight how AI/ML and engineered solutions for scientific datawill define the future of biopharma.

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We are glad to have TetraScience as our partner for large-scale onboarding of new lab data sources. We are looking forward to an ongoing collaboration with TetraScience as we make progress on the AI journey.

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