New machine learning techniques boost predictions for virtual drug screening with less data
Schmidt Center researchers have found a way to improve kernel methods, which are a simpler alternative to neural networks, for biomedical applications.
Support for this research was provided in part by the Office of Naval Research, National Science Foundation, National Center for Complementary and Integrative Health, MIT-IBM Watson AI Lab, MIT J-Clinic for Machine Learning and Health, the Eric and Wendy Schmidt Center at the Broad Institute, and a Simons Investigator Award.
Radhakrishnan A, et al. Transfer learning with kernel methods. Nature Communications. Online September 9, 2023. DOI: 10.1038/s41467-023-41215-8