Waist-to-height ratio outperforms BMI in predicting heart disease risk, particularly among people who are not classified as ...

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that ...

Researchers have found growing evidence that contemporary mammogram imaging combined with AI analysis are able to predict a woman's risk for major cardiovascular events, such as heart attacks and ...

It has to do with the accumulation and progression of calcium in the breast arteries.

Heart specialists at Mayo Clinic today presented new research at the 2026 Society of Thoracic Surgeons Annual Meeting that redo surgery for adults with congenital heart disease (CHD) remains high-risk ...

Explore a complete comparison between VPython on the Web and Trinket.io in this detailed guide. Learn the differences in features, ease of use, performance, and best use cases so you can choose the ...

Researchers reckon it could dramatically accelerate understanding of how DNA influences disease, cancer, and drug discovery.

Artificial intelligence tools developed by Etiometry may help predict post-CTEPH-surgery recovery outcomes, such as hospital ...

Further database analysis is needed to create accurate risk prediction models for surgical morbidity and mortality to aid ...

February is American Heart Month, and each year the statistics remain the same: one in every three people will die from heart ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A deep learning model using retinal images obtained during ROP screening may be used to predict diagnosis of BPD and PH.