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

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...

A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.

Penn researchers at the School of Dental Medicine have developed an artificial intelligence-powered process that identifies risk factors associated with tooth decay. The team utilized machine learning ...

At-a-Glance: Machine learning streamlines pipeline inspections by automating signal interpretation, predicting defect growth, and prioritizing digs—cutting cycle time, false alarms, and OPEX while ...