A new machine-learning technique predicts the timing of the body clock to enhance sleep and health choices.

Published Date: 26 Apr 2023

We could estimate the time of our internal body clock with the aid of a new machine-learning technique, which would enable us to all make better health-related decisions, such as how much and when to sleep.

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Semaglutide and tirzepatide use is rising among patients with rheumatic and musculoskeletal diseases and is linked to meaningful 1-year weight loss, especially in tirzepatide users.

The Fracture Risk Assessment Tool predictions suggest patients who don’t meet guideline criteria for parathyroidectomy may nevertheless benefit from the surgery.

Specific serum acylcarnitine levels are linked to faster kidney function decline in type 2 diabetes and can help improve the prediction of patients at highest risk for rapid decline.

Modeling finds marked early weight loss with tirzepatide that later plateaus as appetite returns and energy expenditure decreases, and discontinuation of the drug is linked to partial weight regain.

Emerging evidence suggests some sugar substitutes may affect metabolism, gut microbiome, and cardiovascular health more than previously recognized.

Weight bias, stigma, and discrimination are linked to poorer mental health and weight outcomes after bariatric surgery, although the long-term physical effects remain understudied.

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Private-Sector Healthcare Rise May Affect Canadians’ Trust

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