Meet Zeynep Demirbas, the New York eighth-grader who tested whether AI can recognise stress; a basic machine-learning model beat ChatGPT-4o

Fourteen-year-old Zeynep Demirbas tested four AI models on 3,553 Reddit posts to see how accurately they could detect stress.
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
News-Medical.Net

Machine learning model can identify likely non-responders to exercise-based cardiac rehabilitation

Exercise training is a cornerstone of cardiac rehabilitation (CR) for patients with coronary artery disease (CAD), and ...
The Brighterside of News on MSN

The thymus trains T cells like an AI model to avoid attacking the body

The immune system may learn not to attack the body by using a small but representative sample of the body’s own protein ...
Medical Dialogues

PreSev Study: Bringing Machine Learning to Preeclampsia Forecasting

Preeclampsia with severe features remains a dangerous threat during pregnancy—especially in low-resource settings like ...

Complex odors prove easier to map than expected with machine learning

If you want to describe a particular color, you could look to the Pantone color wheel to find its exact hue, saturation and ...
ascopubs.org

Machine Learning Model Predicts Monoclonal Gammopathy Using Routine Laboratory Values

Multicentric Validation of a Complete Blood Count–Based Model for Breast Cancer Risk Stratification in Women Age 40-49 Years Monoclonal gammopathy (MG) is a disorder defined by the presence of ...
Hackaday

Machine Learning COFFIES “Hears” Sunspots Before We Can See Them

In this age of neural net “AI”, even the most skeptical of Butlerians have to agree that these machine learning models can be ...
Phys.org on MSN

Soil methane sink may be larger than thought, three-model analysis finds

Methane-munching microbes in soil might be more important than previously thought, a new study finds. Soil is an important ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online ...