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CMC Ontology
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NLP Use Case Database
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Webinar
The goal of our project is to build an IDMP Ontology that enables deep, semantic interoperability based on FAIR principles to enhance and augment the existing ISO IDMP standards
This webinar aims to explore the application of large language models in life science R&D from different perspectives, providing attendees with a comprehensive understanding of the topic and its potential implications for the industry.
In this talk, we will discuss the opportunities large language models and other medical foundation models offer in terms of providing a better paradigm of doing “AI in healthcare.”
The Swiss Personalized Health Network (SPHN) has created a national framework for standardizing the semantic representation of health data, in alignment with the FAIR principles.
Large scale implementation of FAIR is often hampered by legal, technical, financial or organizational challenges. Creating a FAIR ecosystem requires that the infrastructure for data capture not only enables but also ensures that data is FAIR right at the point of creation (FAIR@source).
The Ersilia Open Source Initiative is a non-profit organization with the mission to equip laboratories and universities in low resource areas with AI tools for infectious disease research.
Superbio.ai provides datasets, pre-trained AI models, benchmarks, visualization and inference tools, all in a no-code cloud environment, empowering scientists to advance their research with community-driven machine learning. In this webinar, company founder and CEO Berke Buyukkucak will describe his work to democratize the Artificial Intelligence.
Starting in 2021, a team of Pistoia Alliance colleagues conducted in-depth business analysis centered on the use of AI in the pharmaceutical enterprise, and identified common use cases, challenges, and best practices for application of AI, specific to particular personas. This webinar presents the interim report of the results to-date, followed by the panel discussion by the members of the Pistoia Alliance GMLP CoI.
Bristol Myers Squibb is proud to share a proposal to standardize our data and information models. The artifacts introduced today serve as foundational knowledge of Research and Development and attempt to capture factual and tacit knowledge in this space.
In this webinar we cover the importance of subject matter expertise in the development, fine-tuning as well as application of, technologies, including artificial intelligence, in the life sciences also touching on how these can impact end users.
Despite much ‘hype’ around how quantum computers will potentially revolutionize drug discovery, the precise pharma use cases wherein a quantum advantage will be someday demonstrable relative to classical computing have remained somewhat a mystery to the larger pharma/life science community. The goal of this event is to ‘bridge the gap’ between quantum experts and the rest of the pharma/life science industry.
This webinar explores why the FAIR data principles are so important for data that is collected during rare and paediatric clinical trials. We introduce the conect4children (c4c) project and present the network that has been established under the IMI2 grant.
