Anxiety & Stress

Co-designing a virtual reality based mindfulness application to address diabetes distress using Artificial Intelligence-informed Experience-Based Co-Design (AI-EBCD): a feasibility study

More than one third of adults with diabetes can experience diabetes distress due to the demands of daily self-care. As a cognitive therapy, mindfulness can alleviate diabetes distress but face-to-face programmes can be difficult to access and pay for, and apps lack personalisation and feedback. Virtual reality (VR) may support mindfulness practice, but no VR app tailored to people experiencing dia...

Extracting patient reported cannabis use and reasons for use from electronic health records: a benchmarking study of large language models

Objective To develop and evaluate a scalable and reproducible natural language processing (NLP) approach using large language models (LLM), to identify cannabis use status and reasons for cannabis use among patients with autoimmune rheumatic diseases (ARDs) from unstructured electronic health record (EHR) clinical notes. Methods and Analysis We conducted a retrospective study using EHR clinical no...

AI-Driven Generation of Cortisol-Binding Peptides for Non-Invasive Stress Detection

Cortisol is a primary biomarker of stress, released in sweat at concentrations that directly correlate with physiological stress levels. Detecting cor...

BEEhaviourLab: A high-throughput platform for sublethal stressor screening in insects

Chemical risk assessment for insects relies largely on mortality endpoints in a few model species, limiting detection of ecologically relevant subleth...

PAMG-AT: A Physiological Attention Multi-Graph Model with Adaptive Topology for Stress Detection using Wearable Devices

Stress detection with wearable physiological sensors is vital in digital health and affective computing. Conventional machine learning techniques usua...

AbiOmics: An End-to-End Pipeline to Train Machine Learning Models for Discrimination of Plant Abiotic Stresses Using Transcriptomic Profiling Data

Abiotic stresses are primary constraints on global crop productivity, reducing yields by up to 80%. While traditional phenotypic sensing detects stres...

Deep Clustering based Boundary-Decoder Net for Inter and Intra Layer Stress Prediction of Heterogeneous Integrated IC Chip

High stress occurs when 3D heterogeneous IC packages are subjected to thermal cycling at extreme temperatures. Stress mainly occurs at the interface b...

Off-The-Shelf Image-to-Image Models Are All You Need To Defeat Image Protection Schemes

Advances in Generative AI (GenAI) have led to the development of various protection strategies to prevent the unauthorized use of images. These method...

Thermal stress drives seagrass fragmentation in the Mediterranean Sea

Posidonia oceanica meadows, which underpin Mediterranean coastal ecosystems, are undergoing accelerated decline, partly driven by thermal stress. Whil...

Development and cross-tissue validation of a methylation profile score for the cortisol response to stress

Hypothalamic-pituitary-adrenal axis (HPA axis) dysregulation is a risk factor for poor mental and physical health. Animal studies indicate that DNA me...

A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments

Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as w...

A DMD-Based Adaptive Modulation Method for High Dynamic Range Imaging in High-Glare Environments

Background The accuracy of photomechanics measurements critically relies on image quality,particularly under extreme illumination conditions such as w...

Design, Development, and Use of Maya Robot as an Assistant for the Therapy/Education of Children with Cancer: a Pilot Study

This study centers around the design and implementation of the Maya Robot, a portable elephant-shaped social robot, intended to engage with children u...

Machine Learning Phenotyping of Autonomic Stress from Daily Temperature and Ecological Assessments

Background: Artificial intelligence applications for preventive stress monitoring remain limited by dependence on expensive continuous biosensors. We ...

Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation

Prenatal psychological stress affects 15-25% of pregnancies and increases risks of preterm birth, low birth weight, and adverse neurodevelopmental out...

Beyond Pixels: Visual Metaphor Transfer via Schema-Driven Agentic Reasoning

A visual metaphor constitutes a high-order form of human creativity, employing cross-domain semantic fusion to transform abstract concepts into impact...

Generation of Synthetic Data in Health Surveys Using Large Language Models

Background: Generating synthetic data using artificial intelligence, such as large language models (LLMs), is a useful strategy in public health becau...

Targeted saliva multi-omics is a reliable, non-invasive method to capture physiological stress and recovery

Determining physiological stress at high resolution is crucial across diverse settings to enable informed decision-making in the context of health and...

Determinants of Digital Health Technology Acceptance Among Healthcare Caregivers: A Structural Equation Modeling Approach

Background: Digital health technologies, including artificial intelligence (AI)-powered tools and virtual reality (VR) interventions, are increasingly...

On Safer Reinforcement Learning Policies for Sedation and Analgesia in Intensive Care

Pain management in intensive care usually involves complex trade-offs between therapeutic goals and patient safety, since both inadequate and excessiv...