We aim to develop clinically relevant disease diagnosis and risk prediction AI models that allow more frequent disease monitoring to assess for treatment response/disease progression, potentially improving overall outcomes and lowering healthcare costs. Ultimately, the developed AI models will enhance our abilities to disease diagnosis in a quantitative, noninvasive, patient-friendly manner as well as to provide more patient-centric, precision medicine. Furthermore, it is conceivable that our models could be used as endpoints in therapeutic clinical trials.

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