Key Highlights
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A new study found that most oral anticancer drugs (about 86%) have at least one mechanism that can cause a harmful drug-drug interaction. This is crucial because in a review of nearly 3,700 cancer patients, about 17% had a potentially dangerous overlap in their prescriptions, highlighting a common and serious risk in cancer treatment that needs careful management.
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Researchers have developed a new three-stage machine learning tool that uses the patterns of kappa and lambda proteins to improve the detection of B-cell lymphomas from blood tests. This approach makes diagnosis more objective and consistent, which could lead to faster and more accurate identification of these cancers compared to traditional manual methods.
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A novel eye-tracking test was shown to be better at detecting cognitive impairment in older adults than several standard blood tests for Alzheimer’s disease. This digital tool offers a simple, non-invasive way to screen for early signs of cognitive decline, potentially allowing for earlier intervention and monitoring.
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A medical assistant-coached digital program that combines cognitive behavioral therapy with resilience-building activities showed significant long-term benefits for people with chronic spinal pain and fibromyalgia symptoms. While it didn’t show an immediate difference, after a year it led to greater reductions in how much pain interfered with daily life compared to standard therapy or usual care, offering a promising and scalable treatment option.
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An artificial intelligence model can now predict a person’s future risk of a heart attack by analyzing inflammation and plaque buildup from a routine heart CT scan. This turns a standard diagnostic image into a powerful tool for personalized prevention, allowing doctors to identify high-risk individuals who need more aggressive treatment.
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