Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Social anxiety is a common psychological problem, and its accurate diagnosis and investigation of underlying neurophysiological mechanisms are of significant importance. This study aims to explore the neuroelectrophysiological characteristics and diagnostic value of social anxiety by integrating event-related potentials (ERP), event-related spectral perturbation (ERSP), and machine learning method...
Currently, the most actively investigated rapidly acting antidepressants, anxiolytics and/or anti PTSD agents, include psychedelics e.g. psilocybin, LSD, N,N-dimethyltryptamine, ayahuasca; non-hallucinogenic entactogens, e.g. MDMA; psychoplastogens which rapidly promote neuroplasticity, e.g. ibogaine, ketamine and esketamine; and other atypicals e.g. dextromorphan/bupropion, esmethadone. Late-stag...
The brain growth spurt (BGS) represents a pivotal window in neurodevelopment, defined by rapid neurogenesis, heightened synaptogenesis, and the dynami...
Digital wellness focuses on the healthy relationships individuals develop with technology to thrive, emphasizing skills such as emotional intelligence...
Crop production has been regarded as the major goal of agricultural activities, but the rapidly growing population and climate change have become more...
OBJECT: This study examines how quality of life is associated with sleep quality among Chinese university students through sequential mediation by per...
BACKGROUND: Exposure to heavy metals represents a significant risk factor for hypertension and blood pressure disorders. Notably, current evidence ind...
Coronary microvascular disease (CMD), particularly prevalent among women, is associated with increased morbidity and mortality, making clinical screen...
Mental health conditions and substance use are prevalent among people with HIV (PWH), are correlated with one another, and associate with viral non-su...
Global climate change exacerbates drought stress, severely affecting plant growth, agricultural productivity, and the biosynthesis of secondary metabo...
Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their design must balance hydraulic efficiency and hemocompa...
Individuals with eating disorders (ED) and co-occurring post-traumatic stress disorder (PTSD) often face difficulties with sensory overload and emotio...
Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and prevention. However, existing methods are often in...
Occupational stress is a major concern for employers and organizations as it compromises decision-making and overall safety of workers. Studies indica...
As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence anxiety may occur because of a lack of knowledge ab...
BACKGROUND: The Stress Hyperglycemia Ratio (SHR) reflects stress-related hyperglycemia and is linked to poor outcomes in various diseases. This study ...
Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ), yet its efficacy and underlying mechanisms remai...
Plastic pollution and contamination originates from raw material handling, polymerization, compounding, and fabrication, contributing to environmental...
BACKGROUND: Internet-delivered cognitive behavioural therapy (ICBT) is an effective and accessible treatment for mild to moderate depression and anxie...
Advances in diabetes technologies such as continuous glucose monitoring (CGM) have provided significant opportunities to improve glycemic and quality-...