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Researchers develop machine learning-based tool for assessment of shoulder function

A study published in Scientific Reports introduces a simple string-pulling task as a reliable method for assessing shoulder mobility in both animals and humans. This innovative approach, combined with machine learning, has the potential to revolutionize the diagnosis and monitoring of shoulder injuries, offering an affordable and accessible solution. ....

Sophia Coveney , Neha Mathur , Neha Mathurnov , Scientific Reports , Y Axis Eigenvector , Machine Learning , Chronic Pain , Rotator Cuff ,

Lasting heart concerns in kids post-MIS-C: Study urges ongoing cardiac checks

Researchers evaluated the long-term cardiovascular effects in children after treatment for MIS-C, a condition linked to COVID-19. They found that regardless of initial heart injury, most children displayed persistent cardiac abnormalities, underscoring the importance of ongoing cardiac monitoring post-recovery. ....

United States , Yakobchuk Viacheslav Shutterstock , Los Angeles , Cardiovascular Follow Up , Patients Treated , Image Credit , Yakobchuk Viacheslav , Hospital Los Angeles , Coronavirus Disease Covid 19 , Ars Cov 2 , Evere Acute Respiratory , Evere Acute Respiratory Syndrome ,