Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...

Safe drinking water depends not only on treatment, but also on knowing when harmful microorganisms may be present in source ...

Routine water quality monitoring already generates large volumes of physicochemical data – turbidity, temperature, dissolved oxygen – but converting that into an early warning for microbial ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models using continuous glucose monitor and demographic data were more accurate at estimating ...

A new study offers insight into the health and lifestyle indicators—including diet, physical activity and weight—that align most closely with healthy brain function across the lifespan. The study used ...

A study aiming to develop and test a machine learning model to predict cardiovascular disease using indicators of oral infections was presented at the 52nd Annual Meeting & Exhibition of the AADOCR, ...