Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

WPI researchers use machine learning and brain scans to identify age- and sex-specific anatomical patterns that predict ...

Precise measurements of coronary artery plaque using cardiac CT may enhance risk prediction in patients with symptomatic coronary artery disease, a study has found.

Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small-cell lung cancer will benefit from immunotherapy.

Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and cardiovascular risk in chronic kidney disease (CKD), as reported by ...

Researchers at Moffitt Cancer Center have identified distinct spatial tumor–immune ecosystems that predict whether patients with advanced non–small cell lung cancer will benefit from immunotherapy.

The new model identifies at-risk subgroups and helps guide them toward tailored interventions. The depicted figures wear color-coded outfits matching the DNA double helix railings, symbolizing the ...

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...