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An algorithm that can classify patients with juvenile idiopathic arthritis into seven distinct groups based on patterns of swollen or painful joints in the body can help predict disease course

Patterns of Joint Behavior Useful for Juvenile Arthritis Classification

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Machine learning algorithm finds nonlocalized joint involvement increases risk for poor outcomes
Poor cardiorespiratory fitness is strongly associated with coronary heart disease in a low-risk population

Cardiorespiratory Fitness Tied to Coronary Heart Disease Risk

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Association between VO2peak and coronary heart disease crosses the fitness continuum
As distant metastasis in head and neck squamous cell carcinoma is a rare event

Chest CT May Be Better Than PET/CT for HNSCC Distant Metastasis Evaluation

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Since distant metastasis only seen in 3 percent of head, neck cancers, chest CT more cost-effective
Ten confirmed cases of mumps

Mumps Outbreak Reported at Temple University

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CDC says more than 2,000 cases of mumps in U.S. last year, 58 cases reported in January of this year
Becoming physically active in middle age may provide comparable health benefits to long-term participation in leisure-time physical activity

Becoming Active in Middle Age Still Offers Health Benefits

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Lower risk for all-cause, cardiovascular, cancer-related mortality similar to people active throughout adulthood

American Academy of Dermatology, March 1-5

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The American Academy of Dermatology The annual meeting of the American Academy of Dermatology was held from March 1 to 5 in Washington,...
Patients with exfoliation syndrome may be at increased risk for chronic obstructive pulmonary disease

Exfoliation Syndrome May Up Risk for COPD

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Survival improved with COPD and exfoliation syndrome versus COPD alone
Genetic testing should be made available to all patients with a history of breast cancer

Genetic Testing Recommended for All Patients With Breast Cancer

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All with personal history of breast cancer should be offered testing; updated testing recommended
An application using the photoplethysmography signal

ACC: Photoplethysmography Signal Can Detect Diabetes

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AUC 0.722 for predicting prevalent diabetes in test dataset; negative predictive value 97 percent
Women with gestational diabetes mellitus have an increased risk for developing cardiovascular events postpartum

GDM Linked to Increased Cardiovascular Event Risk Postpartum

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In analysis restricted to women who did not develop T2DM, GDM still linked to increased risk