Latest AI and machine learning research in anxiety & stress for healthcare professionals.
Sleep deprivation induces systemic physiological stress accompanied by transcriptomic remodelling and immune dysregulation, yet objective molecular indicators for its assessment remain insufficient. This study integrated blood transcriptomic analysis with an interpretable machine learning framework to identify and validate candidate molecular signatures associated with sleep deprivation and their ...
Atherosclerosis (AS) is a chronic inflammatory vascular disorder in which endoplasmic reticulum stress (ERS) plays a crucial regulatory role. However, the biological and translational relevance of ERS-related gene networks in AS remains largely unexplored. This study aimed to identify a robust ERS-related gene signature for AS. We integrated multiple GEO datasets and applied machine learning algor...
Microplastics, especially the environmentally pervasive polyethylene terephthalate microplastics (PET-MPs), are important environmental pollutants, an...
INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to reduce the burden of depression, anxiety, and cogniti...
Core body temperature (CBT) reflects a physiological state that may correspond with variation in social perception. In two exploratory studies, we exa...
Depression, anxiety, and stress are significant global health burdens worsened by restricted access to care. Conversational agents (CAs), encompassing...
BACKGROUND: Family caregivers experience significant stress due to intensive caregiving activities, making them highly susceptible to adverse psychoso...
Glioblastoma exhibits profound intratumoral heterogeneity and rapid adaptation under stress, complicating durable therapeutic control. Here, a biologi...
BACKGROUND: Head and neck cancer (HNC) is a common malignant tumor, and its treatment often leads to functional impairments in speech, swallowing, and...
Anxiety disorders are common and impairing mental health conditions. Using data from 26,378 adults in the German National Cohort Study (NAKO), we inve...
With the growing momentum to integrate artificial intelligence (AI) into education, large language models (LLMs) have shown great potential for Englis...
BACKGROUND: Longitudinal changes in temporomandibular joint (TMJ) structures may reflect joint contact mechanics and jaw loading behaviours (Mechanobe...
Heavy metal (HM) pollution is a traditional and ongoing global ecological issue that requires continuous attention. Although studies have focused on h...
Background: A conversation between a victim and a perpetrator of sexual abuse has the potential to reduce posttraumatic stress disorder (PTSD) symptom...
BACKGROUND: Understanding molecular responses to multi-stress conditions in Saccharomyces cerevisiae is crucial for optimizing industrial strains and ...
BACKGROUND: Generative artificial intelligence (AI) is quickly changing medical education, even as medical students still face high levels of stress, ...
This study examines the association between Generative Artificial Intelligence use and foreign language classroom anxiety (FLCA) among undergraduates ...
As the use of artificial intelligence in education increases, determining student readiness and anxiety has become a necessity; however, the lack of a...
Cancer stem cells (CSCs) drive tumour initiation, progression, metastasis, and therapy resistance through their remarkable plasticity, enabling dynami...
Climate change increasingly threatens global agriculture by intensifying abiotic stresses and destabilizing crop productivity, necessitating a deeper ...