More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...

Further simulations show that machine learning models can automatically capture non-additive effects and multi-locus interactions without explicitly specifying interaction terms, thereby improving the ...

Researchers at WashU Medicine and collaborating institutions have developed a novel computational tool that can accurately identify a genetic problem in a gene called RFC1 that is linked to certain ...

In the last several years, large language models (LLMs) like ChatGPT and Bard have shown the world the astounding power of generative AI for language creation tools. However, some of the most exciting ...

Machine learning (ML) has emerged as a transformative approach for decoding the genomic determinants of antimicrobial resistance (AMR). By leveraging large-scale sequencing data, ML models can discern ...

A Stanford-led study published in Nature on Feb. 26 found that age-related changes witnessed in diseases like Alzheimer’s may be related to a relatively untapped area of research in the brain. The ...