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Generative Chemistry

Training machine learning to identify relevant project candidates

The process for developing new drugs is incredibly complex, requiring the evaluation of hundreds of thousands of candidate compounds before a project reaches the clinical trial stage. This process is slow, costly, and requires immense amounts of expert time. In this project, we are trying to train machine learning systems to help chemists and pharmacists to more quickly find new relevant candidates for their projects.