Medical Xpress
At 85 and healthy? Why more medicine may do more harm
Conventional wisdom says reaching 85 in good health is a reason to intensify medical surveillance. A growing body of thinking suggests it may be the moment to pull back. Over-treatment in elderly patients carries real risks β from drug interactions to unnecessary interventions β that can erode the very quality of life medicine aims to protect.
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Organic baby formula recalled following botulism cases
The FDA is investigating a multistate botulism outbreak tied to Nara Organics Whole Milk Organic Powdered Infant Formula, prompting an urgent product recall. Botulism is a rare but potentially fatal illness in infants, making swift action critical for affected families. Parents using this formula should stop feeding it immediately and contact their pediatrician.
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Urine drug test may boost adherence to blood pressure medications, UK trial suggests
Urine-based chemical adherence testing (CAT) may be a powerful tool in the fight against uncontrolled hypertension, according to the largest UK trial of its kind. The study, led by University of Manchester and Manchester University NHS Foundation Trust researchers, found that detecting whether patients are actually taking their blood pressure medications prompted measurable improvements in adherence. With poor medication compliance a persistent driver of cardiovascular disease, the findings could reshape how the NHS monitors and supports patients managing hypertension.
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Early-Onset Cancers Are on the Rise. Knowing Your Family History Is Crucial.
Cancers diagnosed before age 50 are increasing across more than a dozen tumor types in the United States, a trend that has researchers and clinicians on alert. Family history remains one of the most powerful tools for assessing personal risk, yet most people have never had a structured conversation about it with their doctor. Experts recommend documenting at least three generations of health history and bringing it to your next appointment β a simple step that can meaningfully change screening timelines and prevention strategies.
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AI deciphers how fast ALS progresses and which functions decline first
Researchers at Nagoya University have developed an AI tool capable of predicting how quickly ALS will progress in individual patients and which muscle functions will deteriorate first. The system analyzes data from patient follow-up studies to identify distinct patterns of decline, addressing one of the disease's most challenging characteristics β its highly variable course. Better forecasting of progression could help clinicians tailor treatment plans and give patients a clearer picture of what to expect.
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