ScienceDaily: Top News

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• Mathematical models out-perform doctors in predicting cancer patients' responses to treatment
• Screening NCAA athletes for sudden cardiac death risk
• Accuracy and reliability of ecg interpretation by physicians is limited, study suggests
• From blank round to a potently active substance?

Mathematical models out-perform doctors in predicting cancer patients' responses to treatment Posted: 20 Apr 2013 08:06 AM PDT Mathematical prediction models are better than doctors at predicting the outcomes and responses of lung cancer patients to treatment, according to new research. The researcher says she considers it unethical for treatment decisions to be based solely on doctors' opinions, when these models perform so much better.

Screening NCAA athletes for sudden cardiac death risk Posted: 19 Apr 2013 10:25 AM PDT A new study supports the addition of electrocardiogram (ECG) screening to the standardized pre-participation exams for athletes to better identify cardiac abnormalities that lead to sudden cardiac death (SCD) – the leading cause of death in athletes during sport.

Accuracy and reliability of ecg interpretation by physicians is limited, study suggests Posted: 19 Apr 2013 10:25 AM PDT Incorporating an electrocardiogram (ECG) during pre-participation screening for athletes has demonstrated a reduction in incidence of sudden cardiac death (SCD); however, it remains controversial in the United States due to minimal usage and high false-positive readings. New research suggests this is due to the challenges in the accuracy and reliability of physicians' ability to read ECGs.

From blank round to a potently active substance? Posted: 19 Apr 2013 09:10 AM PDT A long-forgotten candidate for antiviral therapy is undergoing a renaissance: Since the 1970s, the small molecule CMA has been considered a potent agent against viral infections, yet it was never approved for clinical use. Scientists have now deciphered how the molecule can actually stimulate the immune system to combat viruses.

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