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 ...

Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...