Deep-learning model decodes the regulatory effects of DNA changes ...

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.

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 ...

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 ...

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 ...

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 ...