Nature

Integrating body composition analysis and machine learning for non-invasive identification of metabolic dysfunction-associated fatty liver disease: a large-scale health ...

Metabolic dysfunction-associated fatty liver disease (MAFLD) is a highly prevalent liver condition closely linked to obesity, insulin resistance, and metabolic syndrome. Early identification of MAFLD ...
Nature

Application of machine learning in predicting non-alcoholic fatty liver disease using anthropometric and body composition indices

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease, which can progress from simple steatosis to advanced cirrhosis and hepatocellular carcinoma. Clinical diagnosis of ...
Rochester Institute of Technology

RIT scientists developing machine-learning techniques to analyze body-worn camera footage

A Rochester Institute of Technology professor is teaming up with the Rochester Police Department (RPD) to use statistical machine learning to analyze body-worn camera footage and help improve police ...
Cult of Mac

Weighing the options for monitoring your body fat

If you want to lose weight, your Apple Watch can help you sustain healthy habits, but it can’t actually monitor your progress. For that you need to step onto scales. Any scale will measure your weight ...