Anxiety & Stress

Deep-Learning Solution Providing Molecular Marker Subtyping of Breast Cancer Whole Slide Images: Protocol for a UK Clinical Service Evaluation Study.

BACKGROUND: As the histopathology workforce continues to struggle and service demand continues to increase, it has become prudent to consider viable avenues to try to alleviate diagnostic workload burden. One such avenue is computer-based technologies (CBTs). Breast cancer (BC) is the most common malignant neoplasm in the United Kingdom and requires additional testing for estrogen receptor (ER), p...

Modeling Human Expertise in a Sanding Task.

ObjectiveSanding strategies were identified that correlated with better performance and less physical stress.BackgroundSanding requires manual skill because of the dexterity and perceptual needs to perform the job well, and it involves exposure to physical stresses.MethodsForce and tool kinematics were measured using an instrumented platform and motion capture for 20 participants while performing ...

Endometriosis and the mental health burden: a registry-based study of redeemed prescriptions and psychiatric hospital contacts before and after diagnosis of endometriosis.

STUDY QUESTION: Do women with endometriosis have a higher use of antidepressants and anxiolytics, and more frequent psychiatric hospital contacts due ...

The Role of ChatGPT in Reducing Preoperative Anxiety in Patients Planning to Undergo Rhinoplasty.

OBJECTIVE: This study investigates the impact of an artificial intelligence (AI) chatbot (ChatGPT-3.5, OpenAI) on preoperative anxiety among patients ...

Immune-Adaptive Transcriptomic Networks Supporting Sustained Milk Production and Reproductive Longevity in Dairy Cows.

In modern dairy systems, sustained milk production over the lifetime of a cow depends critically on maintaining reproductive efficiency across repeate...

Plant stress early detection through a low-cost multispectral device: Toward safer and more sustainable agricultural practices.

While multispectral sensors offer a cost-effective and robust solution for monitoring plant responses to environmental stress, their limited spectral ...

Uncovering core regulators of multi-abiotic stress adaptation in Arabidopsis thaliana through integrative meta-analysis and machine learning with RT-qPCR validation.

Abiotic stresses such as drought and salinity impose substantial constraints on agricultural productivity, underscoring the need to decipher the core ...

Anna vs. Judith: A randomized comparison of AI-delivered psychodynamic and cognitive behavioral therapies for social anxiety disorder.

Artificial intelligence (AI) offers a potential solution to the scalability limits of internet-based psychological interventions. This randomized cont...

Tailoring silicone mixtures for soft robotics: predictive modeling and experimental validation in pneumatic soft actuators.

The development of soft robotics hinges on the ability to tailor material properties to meet specific application requirements. This study investigate...

Identification of Early Signs of Mental Health Disorders in Older Survivors of Cancer Using Patient-Generated Health Data: Observational Study.

BACKGROUND: Older survivors of cancer face heightened risk of depression and anxiety related to cancer experiences, fear of recurrence, and aging-rela...

Breaking Barriers in Student Mental Health Care With AI-Enhanced Group Cognitive Behavioral Therapy: Pilot Feasibility Study.

BACKGROUND: University students experience elevated psychological distress, with limited access to mental health services. While cognitive behavioral ...

Early cell-wall stress signatures enable 20-min ATR-FTIR discrimination of MRSA and MSSA.

Rapid identification of methicillin-resistant Staphylococcus aureus (MRSA) is crucial for early optimization of antibiotic treatment, but current rout...

The effectiveness of CBT-based NLP-enabled AI conversational agents for mental health intervention: a systematic review and meta-analysis.

Natural language processing (NLP)-enabled artificial intelligence (AI) conversational agents (CAs) are increasingly adopted in digital mental health i...

From signals to solutions: stress-induced leaf senescence and synthetic biology and AI approaches for crop resilience.

The quality and quantity of plant traits are critically linked to the coordinated onset of leaf senescence. However, both external environmental facto...

Reconfiguring brain networks via lightweight dynamic connectivity framework: An EEG-based stress validation.

In recent years, Electroencephalographic (EEG) analysis has gained prominence in stress research when combined with AI and Machine Learning (ML) model...

Integrative single-cell and spatial transcriptomics with machine learning identify a Luminal-inflam malignant program and reveal an RPN1-PERK UPR vulnerability in triple-negative breast cancer.

Triple-negative breast cancer is marked by extensive cellular heterogeneity and limited availability of actionable targeted treatments, which contribu...

Peripheral and central immune features in insomnia: Integrative bulk and single-cell transcriptomic analyses reveal core hub genes and candidate compounds.

Insomnia is closely associated with immune dysregulation, yet the overall pattern of peripheral-central immune disequilibrium and its underlying molec...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis suppurativa are associated with a high burden of ps...

Integrating network toxicology, molecular docking and experimental validation reveals potential mechanisms of DEHP in osteoarthritis.

Di(2-ethylhexyl) phthalate (DEHP), a ubiquitous environmental endocrine disruptor, has been implicated in osteoarthritis (OA) pathogenesis, although t...

Factors affecting dentists' intention to adopt artificial intelligence: an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) model.

PURPOSE: Advancements in science and technology have integrated artificial intelligence (AI) into dentistry, improving treatment processes, operationa...