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Friday, May 15, 2015

Cardiovascular research; Computer intelligence for acute stroke detection ♦ Model predicts readmission of congestive heart failure patients ♦ Cure for sickle cell anemia

Computer intelligence system developed for acute stroke detection A novel computer-aided detection system has been developed for acute stroke using computer intelligence technology. The detection accuracy is 90 percent, which is as high as that conducted by specialists, but at a much reduced time from 10-15 minutes to three minutes. The new system serves as a second opinion for frontline medical doctors, enabling timely and appropriate treatment for stroke patients
New analytics model predicts readmission of congestive heart failure patients Readmission of patients with chronic diseases is a growing problem, costing the U.S. health-care system about $25 billion each year. Researchers have developed a predictive analytics model that can identify congestive heart failure patients with high readmission risk and potentially help stymie those costs.
New age of genome editing could lead to cure for sickle cell anemia Researchers have shown that changing just a single letter of the DNA of human red blood cells in the laboratory increases their production of oxygen-carrying hemoglobin -- a world-first advance that could lead to a cure for sickle cell an
Recommended levels of activity rarely achieved in busy workplace environment Even a busy job may not provide enough exercise to meet current activity recommendations for the prevention of cardiovascular disease, according to a study. The study examined the activity patterns of 83 employees working in six occupational groups at a European hospital during a typical working week. Everyone wore a pedometer to record each step taken and energy expenditure was assessed according to the International Physical Activity Questionnaire.

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