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Artificial Intelligence Predicts Eye Movements

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A large amount of information constantly flows into our brain via the eyes. Scientists can measure the resulting brain activity using magnetic resonance imaging (MRI). The precise measurement of eye movements during an MRI scan can tell scientists a great deal about our thoughts, memories and current goals, but also about diseases of the brain. Researchers from the Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS) in Leipzig and the Kavli Institute for Systems Neuroscience in Trondheim have now developed software that uses artificial intelligence to directly predict eye position and eye movements from MRI images. The method opens up rapid and cost-effective research and diagnostic possibilities, for example, in neurological diseases that often manifest as changes in eye-movement patterns.

Original Post: medicalxpress.com

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New Data-driven Simulation Model Projects National Opioid Crisis to Worsen Before It Gets Better

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A significant challenge in addressing the country’s opioid crisis is that policies based on past patterns of behavior may have unintended consequences because those patterns change over time. Collaborating with the U.S. Food and Drug Administration (FDA), Mohammad Jalali and his research colleagues have created a data-driven simulation model that incorporates key behavioral feedbacks such as social influence and risk perceptions. Called SOURCE (Simulation of Opioid Use, Response, Consequences, and Effects), the model has projected three key strategies that could save more than 100,000 lives over the next ten years.

Article: medicalxpress.com

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Environmental Factors Predict Risk of Death: Study

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Along with high blood pressure, diabetes, and smoking, environmental factors such as air pollution are highly predictive of people’s chances of dying, especially from heart attack and stroke, a new study shows.

Article: medicalxpress.com

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Oral Antiviral Drug Effective Against Respiratory Syncytial Virus (RSV) Identified

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An oral antiviral drug that targets a key part of the respiratory syncytial virus (RSV) polymerase and inhibits the synthesis of viral genetic material has been identified, a finding that could provide an effective treatment against RSV disease, according to researchers in the Center for Translational Antiviral Research at Georgia State University.

Original Post: medicalxpress.com

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