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 ...

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

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 ...

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 ...

A research team from Juntendo University in Japan wanted to find a better way to predict survival for older people with heart failure. The project was led by Professor Tetsuya Takahashi, Assistant ...

Researchers at University of California San Diego School of Medicine have developed a new, easy-to-use blood test score that ...

Feasibility and Implementation of a Digital Health Intervention Electronic Patient-Reported Outcomes–Based Platform for Telemonitoring Patients With Breast Cancer Undergoing Chemotherapy Among the 76 ...

Moffit Cancer Center researchers found four "protein EpiScores" that were associated with disease-free survival, one of which was also associated with overall survival.

Find more about how unscheduled care data provides an opportunity to identify patients at high risk of liver disease.