Disasters cause sweeping damage, hardship, and loss of life. In this article, we first consider
the dominant psychological approach to disasters and its narrow focus on psychopathology …

Recent years have seen the rapid proliferation of clinical prediction models aiming to
support risk stratification and individualized care within psychiatry. Despite growing interest …

Neuropsychiatric disorders pose a high societal cost, but their treatment is hindered by lack
of objective outcomes and fidelity metrics. AI technologies and specifically Natural …

Decades of research have consistently shown that the most common outcome following
potential trauma is a stable trajectory of healthy functioning, or resilience. However, attempts …

Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

Responses to highly aversive or potentially traumatic events are typically defined in terms of
binary outcomes, most commonly the presence or absence of post-traumatic stress disorder …

Psychological distress is a major contributor to human physiology and pathophysiology, and
it has been linked to several conditions, such as auto-immune diseases, metabolic …

Artificial intelligence in health care has experienced remarkable innovation and progress in
the last decade. Significant advancements can be attributed to the utilization of artificial …

In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …

Abstract Machine learning may aid the choice of optimal combinations of anticancer drugs
by explaining the molecular basis of their synergy. By combining accurate models with …