Deep learning algorithm could aid drug development Stanford News


Vijay Pande, professor of chemistry at Stanford University, and his students thought that a fairly new kind of deep learning, called one-shot learning, that requires only a small number of data points might be a solution to that low-data problem. Stanford chemistry Professor Vijay Pande and his students see a future for machine learning in the early stages of drug development. "We're trying to use machine learning, especially deep learning, for the early stage of drug design," said Pande. However, they'd had success in the past with machine learning methods requiring only hundreds of data points, and they had data available to test the one-shot approach.