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 ...

Having discovered the unexpected scope of the problem, Zang and his team developed PATTY (Propensity Analyzer for Tn5 Transposase Yielded bias), a tool that uses machine learning to correct the ...

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 ...

OLADIPO Kolawole, an infectious disease expert, says Africa must strengthen its capacity to own, analyse and develop ...

In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...

Dublin, June 25, 2026 (GLOBE NEWSWIRE) -- The "AI in Genomics Market Report 2026" has been added to ResearchAndMarkets.com's offering. The AI in genomics market is experiencing rapid growth, poised to ...

Researchers at the Stowers Institute for Medical Research have built an interpretation method that shows, base by base, what ...

The accelerating capability of technology is releasing vast quantities of genomic data. This promises powerful benefits for personal and population health. Harnessing this power will depend on public ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

In the face of climate change, apple breeding programs need innovative ways to select cultivars that can thrive under diverse conditions. A recent study demonstrates how integrating genomic data with ...

SugarStrings says its proprietary machine learning-based crawler identifies novel mutations with 94.89% accuracy, allowing it ...