Drug Discovery Challenges
Drug design is fraught with high costs and lengthy timelines, often taking over a decade and billions of dollars to bring a single drug to market. The conversation highlights the evolution of machine learning in this field, from early local models that focus on specific data sets to the need for more generalized approaches. As the landscape shifts, the potential for rational design over trial and error becomes increasingly exciting for researchers.In this clip
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