Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Pavlovian avoidance enables rapid defensive responding but can undermine goal-directed behaviour whe...
Drosophila melanogaster provides a model system to examine how environmental stress interacts with s...
Generalized anxiety disorder (GAD) is characterized by chronic worry and emotional dysregulation, ye...
Airborne nanoplastics constitute an emerging class of environmental contaminants, but their mitoepig...
Computational models of stress responses can highlight candidate genes underlying physiological adap...
Chronic stress induces behavioral rigidity and neural circuit remodeling, yet the underlying computa...
Consistent individual differences in behavior (e.g., personality types, stress coping styles) are a ...
Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world eval...
Accurate psychiatric diagnosis and assessment are crucial for effective treatment. However, while cu...
Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characteri...
Coronary artery anomalies (CAA) with an intramural course are associated with elevated risks of isch...
Non-Suicidal Self-Injury (NSSI) is a prevalent and complex behavior among adolescents, often linked ...
Cognitive behavioral therapy (CBT) is a first-line treatment for obsessive-compulsive disorder (OCD)...
Depression and anxiety are some of the most common mental health disorders in the world contributing...
Technology is an important social determinant of health that has so far been poorly understood. Neve...
Biomarker research in psychopathology increasingly employs high-dimensional omics approaches. Yet, p...
Depression is associated with alterations in immuno-metabolic biomarkers, but it remains unclear whe...
Despite CBT’s status as a first-line treatment, a substantial proportion of patients does not experi...
Post-Traumatic Stress Disorder (PTSD) is a debilitating mental health condition commonly treated wit...
Large language models (LLMs) offer potential benefits in clinical care. However, concerns remain reg...
Develop a neighborhood-level framework using machine learning and causal inference to identify socio...