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 examined five AI models on multiple genomic tasks to see how well they performed Models performed well overall, with each having strengths and weaknesses based on the desired task Study ...

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 ...

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 ...

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 ...

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 ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...