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Stanford researchers use new algorithms for drug development

The Camille and Henry Dreyfus Distinguished Chair in Chemistry Vijay Pande and his students have published findings that indicate potential for deep learning algorithms to boost the field of drug development. The team found success in a subset of machine learning known as “one-shot learning algorithms” to help in the decision making processes involved in developing new drugs.