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New genomic breakthrough reveals exactly where diseases strike. By decoding polygenic signals, scientists pinpoint the tissues and cell types driving illness for precision medicine.

Google DeepMind has precomputed predicted effects for all nine billion possible single-letter DNA changes and released a simple score so researchers can look them up.

Researchers at the University of California, Berkeley built an efficient genomic language model that uses evolutionary comparisons to find DNA changes most likely to affect health and inherited traits.

A new interpretation method traces each prediction back to individual DNA bases, strips out laboratory artifacts, and points to unexpected rules of how the genome is folded.

A generative AI model creates complete viral genomes that function in the laboratory and may help develop new ways to treat antibiotic-resistant infections.

Ambros and Ruvkun discovered microRNA, tiny RNA molecules that play a crucial role in gene regulation

The work investigates whether natural vibration frequencies can help p53 activate specific gene groups to support dna repair and limit cancer risk.

A powerful AI model predicts how DNA changes affect gene regulation, aiding research into diseases and genome function.