Quantum models predict lung cancer using limited training data in preliminary tests

Developing reliable machine learning models for health care can be challenging when only small datasets are available. This challenge motivates research into whether quantum computing approaches can ...
Nature

Machine Learning Applications in Genomic Antimicrobial Resistance articles from across Nature Portfolio

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) data contain underutilized information beyond species identification. We developed a deep learning ...
Newswise

Machine learning cracks the genetic code of a 5,000-year-old medicinal herb

For millennia, the golden rhizome of Coptis chinensis—known as Huanglian in traditional Chinese medicine—has been prized for its potent alkaloids that fight gastric infections and inflammation. But ...
Hosted on MSN

Machine learning analysis of gene regulation reveals new dimension of biological variability

Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as crucial to health. What's more, almost all genes occur as two copies—one ...
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 ...
News Medical

Machine learning tool improves accuracy of genome mapping studies

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 ...
BIOENGINEER

Machine learning predicts genome designs for multi-trait cotton and crop breeding

Machine learning models that incorporate genome-wide markers for environmental responsiveness have improved cross-environment ...

GenoBridge streamlines plant trait prediction with a simplified genomic analysis pipeline

The rapid increase in the availability of genomic data has transformed plant breeding by enabling the prediction of complex ...
BIOENGINEER

Machine learning finds Non-APOE gene signals too weak to predict Alzheimer’s

A Korean two-stage sequencing study found that Non-APOE candidate variants added almost no predictive power once leakage and ...
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 ...
News Medical

Using machine learning to map brain aging at the cellular level

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 ...
Yahoo Finance

Rising Precision Medicine Fuels AI in Genomics Market Growth: Industry to Reach $9.32 Billion by 2030

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 ...