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The FINANCIAL - Salad or cheeseburger?

Share This The FINANCIAL  People in our social networks influence the food we eat both healthy and unhealthy according to a large study of hospital employees. The foods people buy at a workplace cafeteria may not always be chosen to satisfy an individual craving or taste for a particular food. When co-workers are eating together, individuals are more likely to select foods that are as healthy or unhealthy as the food selections on their fellow employees’ trays, Harvard University notes. “We found that individuals tend to mirror the food choices of others in their social circles, which may explain one way obesity spreads through social networks,” said Douglas Levy, an investigator at the Mongan Institute Health Policy Research Center at Harvard-affiliated Massachusetts General Hospital (MGH) and first author of new research published in Nature Human Behaviour. Levy and his co-investigators discovered that individuals’ eating patterns can be shaped even by casua

Journal of Medical Internet Research - JMIR Publications Welcomes Dr Jennifer Joe to Expand Scientific Research Translation Into New Digital Media

Journal of Medical Internet Research - JMIR Publications Welcomes Dr Jennifer Joe to Expand Scientific Research Translation Into New Digital Media
jmir.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from jmir.org Daily Mail and Mail on Sunday newspapers.

Universities studying psychedelics for depression, anxiety, smoking

Universities studying psychedelics for depression, anxiety, smoking
businessinsider.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from businessinsider.com Daily Mail and Mail on Sunday newspapers.

AI reveals current drugs that may help combat Alzheimer s

AI reveals current drugs that may help combat Alzheimer’s New treatments for Alzheimer’s disease are desperately needed, but numerous clinical trials of investigational drugs have failed to generate promising options. Now a team at Harvard-affiliated Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) has developed an artificial intelligence-based method to screen currently available medications as possible treatments for Alzheimer’s disease. The method could represent a rapid and inexpensive way to repurpose existing therapies into new treatments for this progressive, debilitating neurodegenerative condition. Importantly, it could also help reveal new, unexplored targets for therapy by pointing to mechanisms of drug action.

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