We’re in an unprecedented time in medicine, when the convergence of science and technology is transforming the discovery and development of new therapies with the potential to bring far greater benefits to patients than ever before. Computational methods, especially from AI/ML, are now becoming just as essential as biology and chemistry to the future of medicines. Experts in industry and academia explain how large data sets, iterative data-generation capabilities, and new algorithms are being used to train and optimize predictive and generative AI models that will yield new insights for target and drug discovery and answer fundamental questions about human biology, disease, and ML itself.

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