Latest AI and machine learning research in anxiety & stress for healthcare professionals.
BACKGROUND: Depression exhibits significant heterogeneity in antidepressant treatment response. This study aimed to develop an Electroencephalography (EEG)-based machine learning model integrating multidimensional features to predict selective serotonin reuptake inhibitors (SSRI) efficacy and elucidate neurophysiological mechanisms. METHODS: Resting-state EEG data were recorded from 27 patients di...
BACKGROUND: Major depressive disorder (MDD) is prevalent and poses major public health implications. Autonomic nervous system (ANS) dysregulation and sleep disturbances are theorized to be distal risk factors. However, previous research has depended on cross-sectional designs, small predictor sets, and suboptimal methods, limiting temporal inference and predictive accuracy. We thus capitalized on ...
BACKGROUND: Anxiety is a highly prevalent mental disorder linked to metabolic and renal dysregulation. Blood urea nitrogen (BUN) and lipid profiles ha...
BACKGROUND: Structural brain deficits associated with generalized anxiety disorder (GAD), panic disorder (PD), and obsessive-compulsive disorder (OCD)...
BACKGROUND: Depression is a major public health concern, with a rising prevalence among adolescents and young adults. However, the neural mechanisms u...
Comorbid anxiety disorders are common among patients with major depressive disorder (MDD), but their impact on outcomes of digital and smartphone-deli...
PURPOSE: Achilles tendon injuries are common during running in low-temperature environments, but the underlying biomechanical mechanisms remain unclea...
Breast cancer is the most commonly diagnosed cancer among women worldwide, and concerns regarding radiation exposure from mammography screening remain...
Chronic social isolation stress (CSIS) is a well-established preclinical model for studying stress-induced neurobiological changes and their effects o...
Entomopathogenic nematodes (EPNs) are widely used in biological pest control, yet their efficacy in field applications is highly dependent on physiolo...
BACKGROUND: Generative Artificial Intelligence(GenAI) significantly enhances medical research efficiency but raises ethical concerns regarding researc...
BACKGROUND: Mental health issues, including depression, anxiety, and insomnia, are increasingly prevalent among university students and graduates, esp...
Involution anxiety, characterized by heightened stress and competition in educational and professional settings, is a significant psychological trait ...
Dementia represents a rapidly rising global health challenge as a progressive neurodegenerative disease with few options for disease-modifyingtreatmen...
INTRODUCTION: Precise diagnosis and treatment of diseases necessitate quantitative visualization and modulation of subcellular structures. The endopla...
To align with emerging policies for adolescents, feasible, accurate, and equitable trauma-focused assessment protocols need to be developed. To date, ...
Prospective university students are highly susceptible to mental health issues such as depression and anxiety. This study investigates the prevalence ...
Excess reactive oxygen species leading to oxidative stress has been identified as a significant factor in cardiovascular disease. However, the molecul...
INTRODUCTION: Cognitive behavioural therapy (CBT) serves as a first-line treatment for internalising disorders (ID), encompassing depressive, anxiety ...
There is mounting evidence for a link between behaviour and the gut microbiome in animal and human health. However, the role of the gut microbiome in ...