Researchers at UC San Francisco and IBM Research have used machine learning to develop a virtual molecular library that helps immune cells effectively target and kill cancer cells.
The new technique predicts which natural or synthesized elements should be included in a cell to respond effectively to complex diseases, potentially leading to innovative cellular therapies.