New machine-learning tool improves accuracy of genomics research

University of Virginia School of Medicine scientists have identified a widespread source of error in a popular method for ...
news.ucsc

Newest Genome Browser features highlight the power of generative AI and machine learning for biology

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 ...
Medical Xpress

Machine learning brings consistency to newborn genetic screening

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 ...
News Medical

Interpretable machine learning model advances analysis of complex genetic traits

The study also demonstrates that genetic architecture plays a critical role in determining model performance. Traits influenced by a smaller number of significant genetic loci are more effectively ...
Nature

Machine Learning Applications in Genomic Antimicrobial Resistance

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 ...
Medical Xpress

Machine learning reveals common genetic cause behind unexplained peripheral neuropathy

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 ...
ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...