Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Chronic stress induces behavioral rigidity and neural circuit remodeling, yet the underlying computational mechanisms remain unclear. In this study, we analyze in vivo GCaMP8s recordings from the amygdala-striatal circuits (Giovanniello et al.) and identify a difference in the recovery dynamics of the BLA-DMS and CeA-DMS pathways following acute perturbations. Through data analysis and artificial ...
Consistent individual differences in behavior (e.g., personality types, stress coping styles) are a common occurrence across animal taxa. One hypothesis poses that the resulting constraints for within-individual behavioral variation may also lead to constraints for the evolution of behavior. With stress coping styles seen across taxa, it suggests a common underlying proximate mechanism. In this st...
Patient satisfaction is a central measure of high-performing healthcare systems, yet real-world evaluations at scale remain challenging. In this study...
Accurate psychiatric diagnosis and assessment are crucial for effective treatment. However, while current data-driven approaches emphasize diagnostic ...
Social anxiety disorder (SAD) affects up to 1 in 8 individuals over their lifetime and is characterized by an intense fear of social situations where ...
Coronary artery anomalies (CAA) with an intramural course are associated with elevated risks of ischemia and sudden cardiac death under stress. Intrav...
Non-Suicidal Self-Injury (NSSI) is a prevalent and complex behavior among adolescents, often linked to negative emotions such as loneliness, anxiety, ...
Cognitive behavioral therapy (CBT) is a first-line treatment for obsessive-compulsive disorder (OCD), but clinical response is difficult to predict. I...
Depression and anxiety are some of the most common mental health disorders in the world contributing to significant morbidity and mortality. Past trea...
Technology is an important social determinant of health that has so far been poorly understood. Nevertheless, technologies such as algorithms and arti...
Biomarker research in psychopathology increasingly employs high-dimensional omics approaches. Yet, proteomics based on human hair remain largely unexp...
Depression is associated with alterations in immuno-metabolic biomarkers, but it remains unclear whether these alterations are limited to specific mar...
Despite CBT’s status as a first-line treatment, a substantial proportion of patients does not experience sufficient symptom relief. Recent advances in...
Post-Traumatic Stress Disorder (PTSD) is a debilitating mental health condition commonly treated with medications like benzodiazepines (BZDs), despite...
Large language models (LLMs) offer potential benefits in clinical care. However, concerns remain regarding socio-demographic biases embedded in their ...
Develop a neighborhood-level framework using machine learning and causal inference to identify socioeconomic and behavioral drivers of Type 2 diabetes...
AI-powered conversational agents have proven effective in alleviating psychological distress, however, concerns about autonomy and authentic psycholog...
Acute Hepatic Porphyria (AHP) is a rare genetic disease characterized by unpredictable life-threatening attacks. There is no reliable biochemical scre...
Social media presents a promising avenue for monitoring mental health, yet detecting bipolar disorder (BD) remains significantly underexplored. The co...
Anxiety, depression, and other mental health conditions are affecting millions of people worldwide each year. However, limited access to mental health...