Designed Radiopharmaceuticals: How Machine Learning Is Redefining Precision Cancer Therapy" reports on the integration of deep learning and generative AI in radiopharmaceutical medicine, its impact on ...

I have this idea of a communal brain.” David Baker, PhD, told me as I sat in his office at the University of Washington (UW) ...

A feature News and Perspectives story on technological advances in oncology was published in Journal of Medical Internet ...

Researchers cobbled together funding and time to show how quantum computing could aid in the development of drugs to help ...

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Apple, Samsung, Google, Garmin, and Huawei smartwatches can flag health risks beyond glucose, including hypertension, sleep apnea, and emergencies, for wearers. If you can only read one tech story a ...

The field of oncology is rapidly being transformed by advances in artificial intelligence (AI), with growing evidence ...

Abstract: Whole-Slide Images (WSIs) are widely used for estimating the prognosis of cancer patients. Current studies generally follow a cancer-specific learning paradigm. However, the available ...

ImmunoStruct is a multimodal deep learning framework that integrates sequence, structural, and biochemical information to predict multi-allele class-I peptide-MHC immunogenicity. By leveraging ...