New algorithm identifies disease-linked changes in cells without prior training

A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...

New AI optimization framework beats Claude Code and Codex by 2.5x on the same compute budget

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which ...
Tech Xplore on MSN

Combining lessons from ants and birds to improve AI

Combining ideas inspired by ant colonies and flocks of birds may hold the key to unlocking more effective artificial ...
People

Parents Learn They ‘Unknowingly Carried’ Gene Mutation After Both Kids Are Diagnosed with Rare, Often Fatal Disorder (Exclusive)

“In so many ways, [my children] are pioneers, and I could not be prouder of them,” Jillian Arnold tells PEOPLE Jessa Plante Photography An Ohio couple, Jillian and Donald Arnold, have been sharing ...
Johns Hopkins Medicine

Machine Learning Model Improves Accuracy of Liquid Biopsy Results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Nature

Increasing genetic testing for breast cancer genes

Integrating new AI screening tools for BRCA and HRD breast-cancer mutations into routine care could lead to earlier detection, more precise treatment, and lives saved. If they are aware of the threat, ...