Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

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 ...

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...

Liver disease is a growing health problem around the world, yet many people who develop it do not know they are sick until the disease has already become serious. Conditions such as liver fibrosis and ...

Sentinel-2 multispectral satellite imagery has been used to spot sugarcane disease well before it would normally reveal itself.

A new study applying multi-omics techniques and machine learning identified 33 plasma proteins that differ significantly in patients with amyotrophic lateral sclerosis (ALS). The findings suggest ALS ...

Researchers and physicians alike are interested in identifying biomarkers from minimally invasive samples like blood to aid in disease detection and monitoring. However, so far, most targets observed ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...