A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst structures for hydrogen fuel cells, report researchers from Science Tokyo.

Researchers at The University of Texas MD Anderson Cancer Center have characterized cancer cell-specific features in the ...

Many drug and antibody discovery pathways focus on intricately folded cell membrane proteins. When molecules of a drug ...

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

Cancer survival can be analyzed by individual cells instead of whole tumors, revealing which cell populations drive patient outcomes.

NIH-funded AI model predicts cancer survival from single-cell tumour data: Bethesda, Maryland Friday, April 24, 2026, 17:00 Hrs [IST] In a National Institutes of Health (NIH)-fund ...

A computational method combining generative AI with atomistic simulations can identify promising platinum alloy catalyst ...

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

Humanoid robots are beginning to work in close proximity to people, navigating shared spaces and responding to unstructured ...

A detailed analysis of T-cell redirecting therapies in oncology, comparing the mechanisms of bispecific antibodies and CAR T cells.

Proton exchange membrane fuel cells (PEMFCs) are promising for zero-emission vehicles, but their sub-zero start-up capability remains a major hurdle. Freezing of product water inside the membrane ...