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Artificial intelligence (AI) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias, reports a study presented at ICNC 2019.1 The study is the first to use a machine learning algorithm to predict sudden death in heart failure patients.

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According to a new study differences in what motivates individuals and how they self-regulate behavior influence how they keep fit. The study appearing in the journal Heliyon, published by Elsevier, associates personal characteristics with whether people are likely to prefer solo or group exercise activities, CrossFit® training, resistance training, or team sports, how frequently they work out, and if they are likely to stick to their routine.

Published in Medical News

Older and slower runners benefit the most

Published in Medical News

Prolong your life by increasing your muscle power. That’s the main message of a study presented at EuroPrevent 2019, a congress of the European Society of Cardiology.

Published in Medical News

Overall physical activity starts to decline already around the age of school entry. While the proportion of physically inactive individuals rises with age there still are groups of people who manage to increase their physical activity level in adulthood and old age.

Published in Medical News

Goal-setting and self-monitoring tools successfully used by some expectant mothers, according to a new study published in the Journal of Nutrition Education and Behavior

Published in Medical News
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