Psychiatry

Anxiety & Stress

Latest AI and machine learning research in anxiety & stress for healthcare professionals.

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Machine learning-powered activatable NIR-II fluorescent nanosensor for in vivo monitoring of plant stress responses.

Real-time monitoring of plant stress signaling molecules is crucial for early disease diagnosis and ...

Early detection of occupational stress: Enhancing workplace safety with machine learning and large language models.

Occupational stress is a major concern for employers and organizations as it compromises decision-ma...

Artificial Intelligence Anxiety in Nursing Students: The Impact of Self-efficacy.

As in many other sectors, artificial intelligence has an impact on health. Artificial intelligence a...

Efficacy of rTMS on SCZ symptoms: Insights from connectome mapping.

Repetitive transcranial magnetic stimulation (rTMS) is a potential treatment for schizophrenia (SCZ)...

Assessing the stress hyperglycemia ratio in hyperlipidemia patients to predict all-cause mortality: A retrospective cohort study.

BACKGROUND: The Stress Hyperglycemia Ratio (SHR) reflects stress-related hyperglycemia and is linked...

Emerging technologies for assessing the occurrence, fate, effects, and remediation of plastics in the environment.

Plastic pollution and contamination originates from raw material handling, polymerization, compoundi...

Analyzing the impact of occupational exposures on male fertility indicators: A machine learning approach.

Occupational exposures are critical factors affecting workers' reproductive health. This study inves...

Hyperspectral imaging to characterize the vegetative tissue biochemical changes in response to water deficit conditions in sorghum ().

Hyperspectral imaging has been used to determine plant stress status. However, the biological interp...

Deep learning algorithms reveal genomic markers for anxiety disorder in a large cohort of children with down syndrome.

Despite a significant burden of neurobehavioral and psychiatric comorbidities in children with Down ...

Development of a Heart Rate Variability Based Ambulatory Stress Detection Model for Clinical Populations.

Biosensor-based, real-time stress detection has generated clinical interest for the purpose of drivi...

CDKN1A and EGR1 are key genes for endoplasmic reticulum stress-induced ferroptosis in MASH.

Metabolic dysfunction-associated steatohepatitis (MASH) is a complex liver disease whose pathogenesi...

Establishment of a prognostic model based on ER stress-related cell death genes and proposing a novel combination therapy in acute myeloid leukemia.

BACKGROUND: Acute myeloid leukemia (AML) is a highly heterogeneous malignancy, presenting significan...

Assessing Physiological Stress Responses in Student Nurses Using Mixed Reality Training.

This study explores nursing students' stress responses while they are being trained in a mixed reali...

Optimization of an artificial neural network for predicting stress in robot-assisted laparoscopic surgery based on EDA sensor data.

PURPOSE: This study aims to optimize tunable hyperparameters of the multilayer perceptron (MLP) setu...

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