Agenda Introduction to In Vitro Pharmacology (IVP) and problematics faced during submission of IVP data for an IND application How to pave the way to the FAIRification of IVP...
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Search Results for: FAIR
Playing FAIR with AI: Supporting Scientific Discovery – Japan Edition
Technological advancements exhibit varying degrees of longevity. Some are tried and trusted, enduring longer than others, more often when applied strategically to address tangible business challenges. Conversely, certain technologies...
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FAIR (meta) – Data & Assay Annotation
Harnessing the full potential of bioassay data has been a problem due to the inherently unstructured and diverse nature of protocol descriptions. The Pistoia Alliance DataFAIRy Bioassay Annotation project...
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WEBINAR | Fireside chat: Implementing FAIR data principles in life sciences
Join us for an insightful and engaging fireside chat as we delve into the current status of implementing the FAIR (findable, accessible, interoperable, reusable) data principles in the life...
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DataFAIR 2023 Cocktail Hours – Boston
Topic: Generative AI in Drug Discovery Join us for DataFAIR in Boston, an in-person Networking Event for Delegates from Pharma and Biotech to debate and discuss the applications of Gen...
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4th Annual DataFAIR 2023
Generative AI in Drug Discovery Connect with the leading minds and innovators in Pharma, Research, Biotech and AI to discuss Generative AI’s limitless potential, promising signs of applications, and the possibilities...
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Playing FAIR with AI: Supporting Scientific Discovery
Technological advancements exhibit varying degrees of longevity. Some are tried and trusted, enduring longer than others, more often when applied strategically to address tangible business challenges. Conversely, certain technologies...
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Advancing Data Interoperability: Exploring Ontology Mapping for FAIR Data Initiatives
Achieving data interoperability is fundamental for successful FAIR (Findable, Accessible, Interoperable, and Reusable) data initiatives, and the utilisation of ontology and terminology standards plays a crucial role in this...
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How FAIR is my data: the FAIR(Enough) benchmark at AstraZeneca – Japanese Edition
What: How FAIR is my data: the FAIRe(nough) benchmark at AstraZeneca -Japanese Edition When: 24 August 2023 16.00 JST / 08.00 BST Register Today Event Summary Leveraging the...
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