Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data | Scientific Reports - Nature.com

Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data | Scientific Reports Nature.com

Continents

Japan and WHO reach over 3 million people affected by drought and floods in Somalia WHO...

Water Markets

Buying and selling water is a reality in Alberta — sometimes for big money CBC.ca

Climate

Major investment to help sports battle climate change Sport England

Research

Alcoa boosts research amid concerns ‘extensive knowledge gaps’ threaten Perth’s...

Research

Montana State ecology student wins prestigious NSF fellowship Montana State University

Continents

Irrigation districts, Deschutes River Conservancy promote canal piping as key amid...

Technology

The preliminary results of a clinical trial of using heat exposure to combat depression...

Water Markets

Bhowanipore trader killed by biz partner, body dumped in Nimta house water tank The...

Continents

Have climate anxiety? The American Climate Corps could help. Grist

Research

Civil engineering graduate students make strides in water quality research University...