Data-driven to the drug of tomorrow
Opportunities and barriers of AI in a GxP world.
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- AI use cases in the pharmaceutical and healthcare industries.
- The risks and potentials of AI in GxP as well as non-GxP processes.
- Project report: supported document analysis for targeted identification of adverse drug reactions.
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GenAI for drug discovery
Generative models such as diffusion models have recently gained a lot of attention. Especially conditional generative models show promising approaches to solve complex inverse problems where observations are only indirectly available. This talk will highlight recent advances in generative models and their application to solve inverse problems in drug discovery. In particular, the possible applications and future potential in the field of structure-based drug design will be discussed.
Data-driven to the drug of tomorrow
- AI use cases in the pharmaceutical and healthcare industries.
- The risks and potentials of AI in GxP as well as non-GxP processes.
- Project report: supported document analysis for targeted identification of adverse drug reactions.
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