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Cambridge Healthtech Institute’s two-part conference on Artificial Intelligence (AI)/Machine Learning (ML)-Enabled Drug Discovery will highlight the increasing use of computational tools, AI modeling, algorithms, and data science for identifying novel drug targets, drug design, virtual screening, lead optimization, and ADME/toxicology assessments. Relevant case studies and research findings will show how and where AI/ML can be successfully integrated and implemented in drug discovery. It will bring together chemists, biologists, pharmacologists, and bioinformaticians to talk about hope versus hype, and to understand the caveats of AI-enabled decision-making. Part 1 of the AI/ML-Enabled Drug Discovery conference will focus on use of AI and ML predictions and modeling for identifying and prioritizing drug targets and cellular pathways to pursue.
Witness the use of advanced technologies for drug discovery and delivery.
Expand your knowledge of AI-search engines for the future lab, using AI/ML to close the drug discovery triangle, AI for protein structure & design and more.
Deep dive into exclusive sessions to understand the role of generative AI for drug discovery, new AI frontiers for drug development and more related topics,
Engage with top biologists, pharmacologists, and bioinformaticians who will discuss hope versus hype and understand the caveats of AI-enabled decision-making.
Cambridge Healthtech Institute – Your Life Science Network Cambridge Healthtech Institute (CHI) is the preeminent life science network for leading researchers and business experts from top pharmaceutical, biotech and academic organizations.
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