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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

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This 34-year-old with blindness, spina bifida and chronic lung disease excels in life and career

Syarnissa Dahuri, 34, was born with medical conditions that left her visually impaired, with breathing difficulties and mobility problems. Even so, the Malaysian proudly calls these her โ€œsuperpowersโ€ and lives life as independently as she can, helping to create opportunities for people with disabilities in the c
Disability Inclusion Inclusive Hiring Women 039s Voices Women 039s Life Visually Impaired

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