The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

Abstract Machine learning is frequently being leveraged to tackle problems in the health
sector including utilization for clinical decision-support. Its use has historically been focused …

Most mental disorders have a typical onset between 12 and 25 years of age, highlighting the
importance of this period for the pathogenesis, diagnosis, and treatment of mental ill-health …

For many years, psychiatrists have tried to understand factors involved in response to
medications or psychotherapies, in order to personalize their treatment choices. There is …

Importance Estimating the current likelihood of transitioning from a clinical high risk for
psychosis (CHR-P) to psychosis holds paramount importance for preventive care and …

The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can
aid in objectively diagnosing patients and providing individualized treatment …

In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

Importance Neurocognitive functioning is a potential biomarker to advance detection,
prognosis, and preventive care for individuals at clinical high risk for psychosis (CHR-P) …

Psychiatric disorders encompass complex aberrations of cognition and affect and are
among the most debilitating and poorly understood of any medical condition. Current …

Complex diseases are caused by a combination of genetic, lifestyle, and environmental
factors and comprise common noncommunicable diseases, including allergies …