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 ...

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

Tiny silica nanoparticles engineered to seek out prostate cancer caused tumor cells to self-destruct and supercharged the ...

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 ...

The Blackstone president and his wife are funding a new Penn institute that uses AI and biomarkers to intercept hereditary cancers at their earliest stages.

Artificial intelligence-based risk scores from screening mammograms increase over time among women who develop cancer.

A large study found that women taking GLP-1 drugs, the medication class behind Ozempic, Wegovy, Mounjaro, and Zepbound, were about 30% less likely to develop breast cancer. Researchers say the ...

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 ...

The pigeons in the study even started recognizing other health problems they weren't trained on.

ARDY is an autoregressive diffusion model designed for interactive motion generation, supporting online text prompting and flexible long-horizon kinematic constraints (root paths/waypoints, full-body ...