By Hugo Francisco de Souza Trained on genomic data spanning the tree of life, Evo 2 reveals how artificial intelligence can ...

Precision medicine models often rely on data from Northern European populations, leading to treatment inequities. Genetic diversity is crucial for understanding disease risk and treatment efficacy, as ...

Researchers at The University of Texas MD Anderson Cancer Center have performed a comprehensive evaluation of five artificial intelligence (AI) models trained on genomic sequences, known as DNA ...

Mother Nature is perhaps the most powerful generative “intelligence.” With just four genetic letters—A, T, C, and G—she has crafted the dazzling variety of life on Earth. Can generative AI expand on ...

The DNA foundation model Evo 2, first released in February 2025 as a preprint, is now published in the journal Nature.

ITHACA, N.Y. – A team of ecologists and engineers from Cornell University have made a breakthrough in understanding environmental DNA (eDNA) movement in water. Researchers developed synthetic DNA that ...

Existing gene-editing technologies have led to significant advances in both medicine and food production. However, momentum appears to be slowing, particularly in health applications, as early hype is ...

Work has begun on something once-unthinkable: creating human DNA from scratch. Artificial DNA has long been an ethical minefield, with fears of a generation of ‘designer babies’ with pick ‘n’ mix ...

In a step toward treating mitochondrial diseases, researchers at the University Medical Center Utrecht and their colleagues have used mitochondrial base editing (mtBE) to successfully edit harmful ...