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 ...

GEN: Can you speak to your experiences with scale-down screening model systems? Do you have a preference? Sieck: The best screening model depends on specific needs. An ideal small-scale model should ...

Medical imaging foundation models are ushering in a new era for precision oncology. By integrating massive multimodal datasets and advanced AI algorithms, these models achieve unprecedented accuracy ...

Virtual cells can teach us cellular biology. Virtual patients will teach us why therapies succeed or fail. Precision medicine ...