Nature

Physics-Informed Machine Learning for Personalized Disease Prediction, Prevention, and Management

This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...
Nature

Machine Learning Approaches for Thyroid Disease Diagnosis and Prediction

Recent advances in machine learning have significantly enhanced the diagnosis and prediction of thyroid diseases. By integrating diverse algorithms including ensemble methods, neural networks, and ...
News Medical

Combining machine learning with statistical methods can provide accurate models for disease risk prediction

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
News Medical

Deep learning algorithm uses mammograms and age for heart disease prediction

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...
Science Daily

We may be overestimating the association between gut bacteria and disease, machine learning study finds

Many bacterial-linked illnesses, such as inflammatory bowel disease or colorectal cancer, are associated with an overgrowth of gut bacteria thought to be bad actors. But when researchers used a ...
Kaleido Scope

Deep machine-learning speeds assessment of fruit fly heart aging and disease, a model for human disease

Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...
Healio

Machine model may predict MS recurrence risk after DMT discontinuation

A machine learning model may be a valid method of determining the risk for recurrence of MS among individuals who discontinue ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
Healthcare IT News

National Heart Centre Singapore unveils AI for rapid coronary artery disease prediction

The National Heart Centre Singapore is set to pilot a new AI-powered solution for rapid coronary artery disease prediction. SENSE (Singapore Heart Lesion Analyser) is a machine learning-driven system ...
The New York Times

Doctors Told Him He Was Going to Die. Then A.I. Saved His Life.

Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...
EurekAlert!

Biomarker discovery for metabolic dysfunction-associated steatotic liver disease utilizing Mendelian randomization, machine learning, and external validation

We identify six causal molecular biomarkers (e.g., CNPY4, ENTPD6, HLA-A) and eight clinical biomarkers (e.g., serum total protein) for MASLD across various independent cohorts. Serum total protein ...