Shypd.aiThe largest open index of AI toolsThe Biomedical AI Lab at UNT uses machine learning to advance medicine, focusing on wearable device analytics for mobility disorders and broadly improving health outcomes. Their research includes deep learning and computational neuroscience.
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The Biomedical AI Lab at the University of North Texas is dedicated to leveraging machine learning to make significant advancements in medicine. Their core focus involves using wearable device analytics to assist clinicians in the treatment of various mobility disorders, alongside a broader application of AI to enhance health outcomes across different populations. The lab conducts research in areas such as Parkinson's Disease, incomplete spinal cord injury, transfemoral amputees, and cerebral palsy toddlers. Their applications include activity recognition, fall detection, real-time response systems, assessing activity quality, and posture recognition. They employ advanced ML techniques like predictive and unsupervised models, deep learning (CNN/RNN, Transformer architectures, autoencoders), Kubernetes/Docker orchestration, and Hidden Markov Models.
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Not publicly disclosed. Check biomed-ai.com for current pricing.
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