Anxiety & Stress

Predicting risk of mental health deterioration using multimodal data from the UK biobank.

INTRODUCTION: Prospective prediction of mental health risk is critical for early intervention to reduce the burden of depression, anxiety, and cognitive disorders. OBJECTIVES: We aimed to investigate both the associations and genetically informed relationships of biological markers and lifestyle factors with mental health outcomes, and to develop predictive models for future symptom worsening usin...

Core body temperature is associated with visual representations of social group members.

Core body temperature (CBT) reflects a physiological state that may correspond with variation in social perception. In two exploratory studies, we examined whether individual differences in CBT correspond with visual representations of social group members. In Study 1, American participants generated visual representations of Arab faces using a reverse correlation task. A machine learning model pr...

Effectiveness of AI and rule-based conversational agents for depression, anxiety and stress: A meta-analysis.

Depression, anxiety, and stress are significant global health burdens worsened by restricted access to care. Conversational agents (CAs), encompassing...

Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning.

BACKGROUND: Family caregivers experience significant stress due to intensive caregiving activities, making them highly susceptible to adverse psychoso...

A recurrent interferon, stress, and survival axis identifies a rare malignant programme across glioblastoma single-cell, spatial, and longitudinal cohorts.

Glioblastoma exhibits profound intratumoral heterogeneity and rapid adaptation under stress, complicating durable therapeutic control. Here, a biologi...

The impact of an artificial intelligence (AI)-assisted education program on mental health, social support and quality of life in older individuals with head and neck cancer: study protocol of a randomized controlled trial.

BACKGROUND: Head and neck cancer (HNC) is a common malignant tumor, and its treatment often leads to functional impairments in speech, swallowing, and...

Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results from the German National Cohort (NAKO) study.

Anxiety disorders are common and impairing mental health conditions. Using data from 26,378 adults in the German National Cohort Study (NAKO), we inve...

Displaced minds: ecologies of depression.

This issue of the Biomedical Journal explores emerging perspectives across neuropsychiatry, metabolism, aging, regenerative medicine, artificial intel...

Unraveling EFL students' technology self-efficacy, emotions and behavioral intentions in leveraging large language models: the serial mediation of perceptions and attitudes.

With the growing momentum to integrate artificial intelligence (AI) into education, large language models (LLMs) have shown great potential for Englis...

Dynamic Mechanics and Longitudinal Changes in Temporomandibular Joint Structural Integrity.

BACKGROUND: Longitudinal changes in temporomandibular joint (TMJ) structures may reflect joint contact mechanics and jaw loading behaviours (Mechanobe...

Machine learning-assisted meta-analysis reveals melatonin crosstalk regulating plant growth plasticity under heavy metal stress.

Heavy metal (HM) pollution is a traditional and ongoing global ecological issue that requires continuous attention. Although studies have focused on h...

Deepfake perpetrator conversation for adults with sexual abuse-related posttraumatic stress disorder: intervention development and multiple baseline study protocol.

Background: A conversation between a victim and a perpetrator of sexual abuse has the potential to reduce posttraumatic stress disorder (PTSD) symptom...

Predictive modeling and network analysis uncover novel regulators of multi-stress tolerance in Saccharomyces cerevisiae.

BACKGROUND: Understanding molecular responses to multi-stress conditions in Saccharomyces cerevisiae is crucial for optimizing industrial strains and ...

Generative AI's Impact on the Mental Health of Medical Students: Scenario Analysis.

BACKGROUND: Generative artificial intelligence (AI) is quickly changing medical education, even as medical students still face high levels of stress, ...

The association between generative artificial intelligence use and foreign language classroom anxiety.

This study examines the association between Generative Artificial Intelligence use and foreign language classroom anxiety (FLCA) among undergraduates ...

Development and validation of the student readiness and anxiety scale for AI-assisted biology teaching (SRAS-AIBT).

As the use of artificial intelligence in education increases, determining student readiness and anxiety has become a necessity; however, the lack of a...

Hallmarks of epithelial-mesenchymal plasticity in cancer.

Cancer stem cells (CSCs) drive tumour initiation, progression, metastasis, and therapy resistance through their remarkable plasticity, enabling dynami...

Advances in root phenotyping: high-throughput imaging, computational tools and integrative approaches for crop improvement.

Climate change increasingly threatens global agriculture by intensifying abiotic stresses and destabilizing crop productivity, necessitating a deeper ...

Diagnostic value of machine-learning using conventional magnetic resonance imaging markers for pediatric idiopathic intracranial hypertension: a retrospective study.

BACKGROUND: Pediatric idiopathic intracranial hypertension can be challenging to diagnose; magnetic resonance imaging (MRI) signs are considered suppo...

Application and effectiveness of artificial intelligence in adolescent mental health support and therapy: a scoping review.

BACKGROUND: Adolescents are highly vulnerable to mental health conditions, yet traditional counseling models may not fully address their evolving need...