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 ...
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 ...
Frontiers

Bridging the gap: methodological challenges and innovations in systematic reviews of machine learning models in healthcare

Machine learning prediction models differ fundamentally from static medical interventions due to their data dependence, retraining, and temporal instability. Current systematic review methodologies ...
Nature

AI discovers learning algorithm that outperforms those designed by humans

An artificial-intelligence algorithm that discovers its own way to learn achieves state-of-the-art performance, including on some tasks it had never encountered before. Joel Lehman is at Lila Sciences ...
IEEE

A Comparative Study of Machine Learning Models for Cardiovascular Risk Prediction Using PCA-Transformed Framingham Data

Abstract: Cardiovascular disease (CVD) remains the leading cause of mortality globally, highlighting the urgent need for effective early detection systems. Supervised machine learning algorithms, such ...
Quanta Magazine

AI Comes Up With Bizarre Physics Experiments. But They Work.

There are precision measurements, and then there’s the Laser Interferometer Gravitational-Wave Observatory. In each of LIGO’s twin gravitational wave detectors (one in Hanford, Washington, and the ...
Live Science

'Quantum AI' algorithms already outpace the fastest supercomputers, study says

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