How reliable are AI virtual cells compared with experimental models? We examine what each can predict or measure, the ...

Traditional task-specific computational pathology models require a substantial labeled dataset for training to perform various tasks, while foundation models can be trained on large-scale, unlabeled ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

A new hierarchical dataset and a family of fine-tuned protein language models improve T cell receptor–pHLA binding prediction ...