But a research team is using machine learning ... help guide future health recommendations. "I expected that factors like gender, BMI, race or age would be important for our prediction model ...

AI tools are transforming EHR datasets into actionable clinical insights by identifying disease patterns, predicting ...

Computational psychiatry is an interdisciplinary field of research that applies computational methods to the early detection ...

Researchers developed a new machine learning method that, given a relevant amino acid sequence, can automatically predict the location of a protein in any human cell line down to the single-cell level ...

Hypertension and other health risks accelerate brain aging, as shown in a 16-year study using MRI data and predictive ...

The powerful chemotherapy drug cisplatin has been used since the late 1970s to treat a variety of cancers. It's highly ...

What if data could help predict a patient's prognosis, streamline hospital operations, or optimize human resources in ...

Using machine learning technology, a new study has identified three distinct profiles describing social and economic factors ...

The machine learning model, built using logistic regression, marked a substantial improvement, with 87.35% overall accuracy.

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

This innovative approach enhances the quality of typhoon wind field modeling through the use of ... Research: Machine Learning and Computation. Accurate and timely storm surge predictions are ...