Fast functional testing of genetic variants, from newborn genomes to disease models like zebrafish, is transforming ambiguous DNA findings into confident, real‑time treatment decisions.

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 ...

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 ...

Posts from this topic will be added to your daily email digest and your homepage feed. AlphaFold 3 uses the same method as AI image generators to predict how different molecules fit together.

MIT researchers have built an AI language model that learns the internal coding patterns of a yeast species widely used to manufacture protein-based drugs, then rewrites gene sequences to push protein ...

Johnson and Alistar competed as finalists in CU Boulder’s 2025 Lab Venture Challenge where their technology generated much interest from industry leaders. Access to DNA is crucial in many branches of ...

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 ...

Forward-looking: Researchers around the world are embracing DNA-based storage right now. Mixing digital data and biology could bridge the best of both worlds, though a few challenges are still slowing ...