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Sleep Apnea Associated with Increased Risk for Long COVID

/PRNewswire/ Sleep apnea may significantly increase the risk for long COVID in adults, according to a study led by the National Institutes of Health s.

Breathing Uneasy: Sleep Apnea Linked With Increased Long COVID Risks

Study suggests physicians may need to follow patients with both conditions more closely. A study led by the National Institutes of Health's RECOVER Initiative and supported by NYU Langone Health found that sleep apnea significantly increases the risk of long COVID in adults. The research team ana

Public Sentiment Analysis and Topic Modeling Regarding COVID-19 Vaccines on the Reddit Social Media Platform: A Call to Action For Strengthening Vaccine Confidence

Public Sentiment Analysis and Topic Modeling Regarding COVID-19 Vaccines on the Reddit Social Media Platform: A Call to Action For Strengthening Vaccine Confidence
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Study analyzes how artificial intelligence system helps diagnose adverse childhood experiences

Study analyzes how artificial intelligence system helps diagnose adverse childhood experiences A paper written by Arash Shaban-Nejad, PhD, MPH, an assistant professor, and Nariman Ammar, PhD, a postdoctoral fellow, both at the Center for Biomedical Informatics in the Department of Pediatrics at the University of Tennessee Health Science Center, was recently published in the Journal of Medical Internet Research - Medical Informatics. The paper discussed how an artificial intelligence system developed by the researchers was used to diagnose and treat children and adults who suffer from Adverse Childhood Experiences (ACEs). Their research study was named among the Top Milestones on Explainable AI In 2020.

Researchers featured in Medical Research Journal for Artificial Intelligence Studies

 E-Mail IMAGE: A paper written by Arash Shaban-Nejad, PhD, MPH, an assistant professor, and Nariman Ammar, PhD, a postdoctoral fellow, both at the Center for Biomedical Informatics in the Department of Pediatrics. view more  Credit: UTHSC Memphis, Tenn. (January 5, 2021) - A paper written by Arash Shaban-Nejad, PhD, MPH, an assistant professor, and Nariman Ammar, PhD, a postdoctoral fellow, both at the Center for Biomedical Informatics in the Department of Pediatrics at the University of Tennessee Health Science Center, was recently published in the Journal of Medical Internet Research - Medical Informatics. The paper discussed how an artificial intelligence system developed by the researchers was used to diagnose and treat children and adults who suffer from Adverse Childhood Experiences (ACEs).

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