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 ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests.

QSR brands have increasingly turned to mobile apps to engage with their customers. From McDonald's notorious deals exclusive to app users to Starbucks rewards for in-app purchases, fast food companies ...

Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...