How strong is your weed, really? Scientists say labels often mislead

Colorado researchers discovered that nearly half of tested cannabis flower products exaggerated their THC levels, while concentrates were mostly accurate. The team’s statewide audit revealed potency inconsistencies that could mislead consumers and affect safe dosing. Beyond THC, the study also found that cannabinoids like CBG and CBGA are underreported. The findings may help shape future regulations and improve consumer trust in the growing cannabis market.

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You might look healthy, but hidden fat could be silently damaging your heart

McMaster researchers found that deep abdominal and liver fat can quietly damage arteries, even in people who appear fit. Their MRI-based study of over 33,000 adults shows these fats are closely linked to artery thickening and stroke risk, regardless of cholesterol or blood pressure. The findings challenge BMI as a reliable indicator of health and suggest new imaging-based approaches to assessing cardiovascular risk.

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You might look healthy, but hidden fat could be silently damaging your heart

McMaster researchers found that deep abdominal and liver fat can quietly damage arteries, even in people who appear fit. Their MRI-based study of over 33,000 adults shows these fats are closely linked to artery thickening and stroke risk, regardless of cholesterol or blood pressure. The findings challenge BMI as a reliable indicator of health and suggest new imaging-based approaches to assessing cardiovascular risk.

Read More

You might look healthy, but hidden fat could be silently damaging your heart

McMaster researchers found that deep abdominal and liver fat can quietly damage arteries, even in people who appear fit. Their MRI-based study of over 33,000 adults shows these fats are closely linked to artery thickening and stroke risk, regardless of cholesterol or blood pressure. The findings challenge BMI as a reliable indicator of health and suggest new imaging-based approaches to assessing cardiovascular risk.

Read More

AI turns x-rays into time machines for arthritis care

Researchers at the University of Surrey developed an AI that predicts what a person’s knee X-ray will look like in a year, helping track osteoarthritis progression. The tool provides both a visual forecast and a risk score, offering doctors and patients a clearer understanding of the disease. Faster and more interpretable than earlier systems, it could soon expand to predict other conditions like lung or heart disease.

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