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Predicting sudden cardiac death may be possible using artificial intelligence (AI) to analyze medical information in electronic health records, according to preliminary research. Researchers analyzed electronic health records from 25,000 people who had died suddenly and 70,000 people hospitalized for cardiac arrest who did not die in Paris, France and Seattle, Washington and used AI to build personalized health equations that identified each person's risk of dying from sudden cardiac arrest.

from Top Health News -- ScienceDaily https://ift.tt/OFmUh6r

Researchers have identified a new neural circuit in the brain which produces a strong sense of discomfort when activated. The discovery also allows them to show for the first time that the subthalamic nucleus, a structure in the brain that controls voluntary movements, may also play a role in the development of depression. The results could lead to better treatments for Parkinson's disease.

from Top Health News -- ScienceDaily https://ift.tt/ZlI7pKs

A new study of 601 older adults found that those with higher serointensity -- or a higher concentration of antibiodies -- to the cat-borne parasite Toxoplasma gondii are more likely to show signs of frailty, including exhaustion, loss of muscle mass and other indications of declining health. T. Gondii has previously been associated with risk-taking behavior and mental illness.

from Top Health News -- ScienceDaily https://ift.tt/dOmfeYw

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