Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival using advanced molecular data from individual cells.

An exploration of how targeted nanoparticles and artificial intelligence algorithms combine to locate prostate cancer earlier ...

Previously trained with text-based data, the AI is now a model that learns from videos and real-world simulations.

The growing field of machine unlearning aims to make large language models forget harmful information without retraining them ...

Harnessing heat generated by a device itself, microscopic silicon structures could lead to more energy-efficient thermal ...

Finally, during late spring and summer 2023, seagrass expanded rapidly. By July 2023, it covered more than 20% of the lagoon – levels not observed in more than a decade. Coverag ...

The rapid advancement of spatial and single-cell omics technologies has revolutionized molecular biosciences by enabling high-resolution profiling of gene ...

A new agentic AI application aims to speed up drug development, helping bring new medical treatments to patients faster ...

Phages are ubiquitous particles that infect bacteria and archaea in all environments. In addition to lysing bacteria, phages ...

At AACR, Guardant Health and a Japanese group showcased data on machine learning models that predict the tissue of origin in cancers of unknown primary.

Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...