AI and Exercise: How Machine Learning Helps Predict Workout Commitment Levels
Staying committed to an exercise routine is a common challenge, but researchers at the University of Mississippi are using machine learning to decode this problem.
Staying committed to an exercise routine is a common challenge, but researchers at the University of Mississippi are using machine learning to decode this problem.
The EXERT study, reported by ScienceDaily, reveals that regular physical exercise—whether low-intensity stretching or moderate aerobic activity—can help stabilize cognitive function in older adults with mild cognitive impairment (MCI), a condition strongly linked to Alzheimer’s risk.
In recent years, a significant transformation has occurred in the fitness world: gym enthusiasts are increasingly abandoning cardio for weight training.
“Muscle mass really is the key to longevity. It’s our insurance policy for staying functional,” says Elaina Manolis, assistant clinical professor of physical therapy, human movement and rehabilitation sciences at Northeastern University.
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