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Webinar

Delivering Data Driven Value

BMS Enabled FAIR Practices: R&D Information Landscape

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Webinar

Harnessing AI To Expedite R&D

How Important is Subject Matter Expertise in Life Sciences When Using Technology and AI?

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Journal Article

Delivering Data Driven ValueHarnessing AI To Expedite R&D

Bioassays Have An Integration Problem: Collaboration Will Be Key To Making Them FAIR

Whilst life science companies have come to recognize data as their greatest asset, it is also their greatest challenge. Bioassay protocols are one such example where legacy data management systems are holding R&D back, and where adopting the FAIR (Findable, Accessible, Interoperable, Reusable) principles would improve the usability of the data.

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Journal Article

Harnessing AI To Expedite R&D

Good Machine Learning Practices in the Modern Pharmaceutical Discovery Enterprise

We report results of the systematic business analysis of the personas in the modern pharmaceutical discovery enterprise in relation to their work with the AI and ML technologies. We identify 22 common business problems that individuals in these roles face when they encounter AI and ML technologies at work, and describe best practices (Good Machine Learning Practices) that address these issues.

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Webinar

Delivering Data Driven Value

Quantum Computing: What are the Pharma Use Cases?

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Best Practices Guides

Core Projects

UXLS Resource Operations Framework

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Webinar

Delivering Data Driven Value

Applying the FAIR Data Principles to Paediatric Clinical Trials: Lessons Learned from Conect4Children

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Webinar

Harnessing AI To Expedite R&D

AI / ML in R&D Automation

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Webinar

Sustainablity Driven R&D

Extracting Adverse Event Incidence Rates for Predictive Toxicology

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Webinar

Delivering Data Driven Value

The DataGov Lab: A Community of Data Governance Experts Supported by the French Organization ARIIS

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Research

Delivering Data Driven Value

BioAssay Ontology Datasets

The datasets generated and/or analysed during the current study are available in the BioAssay Ontology repository, (BAO). The most current SEED implementation of BAO is version 2.7.3 available on the BioPortal  and on GitHub:

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Webinar

Delivering Data Driven Value

The ELIXIR::GA4GH Cloud – Towards a federated FAIR life science analytics infrastructure

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