Human languages are known to have grown and changed considerably over the course of history, often reflecting technological, ...

A cluster of rat neurons, grown on a chip in a Japanese laboratory, just learned to generate a sine wave on command. Across ...

At AACR 2026, researchers discussed the promise and challenges of bringing AI-powered tools into cancer research and clinical ...

Oregon Health & Science University researchers have developed a first-of-its-kind method to predict cancer patient survival ...

Target identification is a critical and challenging step in drug discovery, with only a small fraction of human genes ...

Is Alzheimer's a gut disease? AI research links appendix removal and specific dietary patterns to a significantly higher risk ...

Our findings suggest that umbilical cord blood could help clinicians and parents more proactively address a child’s risk for Type 1 diabetes. Cord blood is often tossed out during the birthing process ...

The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.

AI-based life detection systems are being considered for future missions to Mars and other planetary bodies, where they would analyze chemical and molecular data to identify potential biosignatures.

New algorithms support Illumina TruPath™ Genome: v4.5 introdues analytical support for TruPath, leveraging algorithmic advances to resolve 15 highly homologous, medically-relevant genes for rare ...

DNA methylation data can be used to estimate biological age, but results across commercial tests differ, raising questions ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...