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  • Voice Analytics As A Tool For Predicting Physiological Health Rochester, Minn., Scottsdale/Phoenix, Ariz., Jacksonville, Fla.

    We aim to test the hypothesis that the quality of human voice can be analyzed by multimodal machine learning approaches to assess overall physiological health in patients by predicting aspiration risk, pulmonary function values, frailty, perioperative/periprocedural/post chemotherapy/transplant risks and improvement of sleep apnea post myofunctional therapy.
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