Explainable AI/ML analytics connecting neuropsychiatric symptoms to underlying mechanisms across drug/device development and clinical care
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Neuropsychiatric disorders are the single largest cause of disability in the world, with ~1B people suffering worldwide, and costing over $1.5T annually in the US alone. Despite the size of the problem, this field of medicine remains uniquely reliant on subjective clinician judgement for diagnosis, leading to trial and error patient care and the highest rates of drug trial failure. Unfortunately, pharma and clinics have been slow to adopt AI and digital markers of conditions because the ROI is unproven and they add burden to clinical workflow. By integrating digital markers in our assessment modules designed to decrease the burden on clinicians without replacing them, we can offer the advantages of precision medicine AI modeling while reducing clinical trial costs and empowering non-mental health specialists, such as oncologists, to track their patients mental health needs.
