Anemia

Artificial intelligence and mental health in the workplace: positive and negative impacts.

The mental health of workers is a crucial objective of occupational health and safety programs. Mental health issues in the workforce present a significant public and occupational health challenge, with considerable impacts on workers, families, employers, and society. Meanwhile, the growing integration of artificial intelligence (AI) in various work environments prompts important questions regard...

Multimodal brain-gut-sleep phenotypes predict delirium, long-term cognitive decline, and survival after colorectal cancer surgery.

BACKGROUND: Neuroimmune, circadian, autonomic, and gut-brain processes jointly shape vulnerability to postoperative delirium and long-term cognitive decline, yet their integrated contribution remains unclear. METHODS: In this prospective cohort (n = 300), preoperative assessments included circadian actigraphy, gut microbial diversity and short-chain fatty acids, inflammatory cytokines (IL-6, CRP),...

Outcomes of Artificial Intelligence Enhanced Colonoscopy in a Tertiary Clinical Setting.

BACKGROUND AND AIMS: Colonoscopies reduce colorectal cancer incidence and mortality, but challenges remain in detecting all precancerous lesions. Oper...

Facing the Silent Crisis: Suicidal Ideation and Suicide in the Nursing Profession.

BACKGROUND: This manuscript explores the silent yet urgent crisis of suicidal ideation and suicide within the nursing profession. Despite being one of...

Evaluation of Large Language Models for Peer Review in Transplantation Research: Algorithm Validation Study.

BACKGROUND: Peer review remains central to ensuring research quality, yet it is constrained by reviewer fatigue and human bias. The rapid rise in scie...

Terrestrial and Airborne Laser Scanning Dataset of Trees in the Shivalik Range, India with Field Measurements and Leaf-Wood Classifications.

Annotated datasets are essential for training and evaluating machine learning models in forest ecology. This dataset provides high-resolution, annotat...

Predicting homologous recombination deficiency and treatment responses using a computed tomography-based foundation model: a preclinical study.

Homologous recombination deficiency (HRD) can lead to genomic instability, increased cancer susceptibility, and enhanced sensitivity to DNA-targeting ...

The use of the odds ratio product and self-reported data to detect comorbid insomnia and sleep apnea.

STUDY OBJECTIVES: To evaluate the utility of the odds ratio product (ORP) in differentiating comorbid insomnia and sleep apnea (COMISA) from obstructi...

A three-dimensional skin-conformal hybrid electrode system for burden-free sEMG monitoring during exercises.

High-fidelity surface electromyography (sEMG) acquisition under dynamic conditions is critical for rehabilitation, sports monitoring, and human-machin...

Integrating Regenerative Therapies and Artificial Intelligence for Precision Management of Diabetic Foot Ulcers.

SIGNIFICANCE: Diabetic foot ulcers (DFUs) represent one of the most devastating complications of diabetes, leading to high rates of amputation and mor...

Research on the performance degradation and failure mechanism of exhaust Systems for explosion proof diesel engines in different mining applications.

Mine explosion-proof diesel engines are critical for underground coal mining, yet the long-term performance degradation of their exhaust systems poses...

Recent advances in wearable biophysical sensors for continuous muscle monitoring.

Continuous muscle monitoring is paramount for revealing the dynamics of neuromuscular behaviors including fatigue kinetics, muscle recruitment, coordi...

Prevalence of intestinal parasites in a tertiary care hospital and utility of AI-assisted fecal analyzer for their detection.

INTRODUCTION: Intestinal parasitic infections, caused by protozoa and helminths, can lead to malnutrition, anaemia, and impaired growth. While direct ...

Pathophysiological mechanisms of fatigue and multidisciplinary management strategies (Review).

Fatigue is a common clinical symptom, and its complex pathophysiological mechanisms markedly affect the quality of life and social function of patient...

Predicting health-related quality of life for patients with gastroesophageal cancer.

BACKGROUND: Gastroesophageal cancer has a poor prognosis, and treatment significantly impacts health-related quality of life (HRQoL). Accurate predict...

Identification of Glioma Phenotypic Subtypes From Multimodal MRI Data Using Hierarchical Multi-Kernel Learning.

BACKGROUND: Gliomas are the most common primary brain tumors, exhibiting significant phenotypic variability even within the same grade. Identifying gl...

Intracortical Brain-Machine Interfaces With High-Performance Neural Decoding Through Efficient Transfer Meta-Learning.

Implantable brain-machine interfaces (iBMIs) have emerged as a groundbreaking neural technology for restoring motor function and enabling direct neura...

Multi-omics and machine learning-based profiling of severity signatures in Mycoplasma pneumoniae infection in children.

Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children; however, the mechanisms driving its progression to severe disease...

Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.

The outcomes of children with aplastic anemia receiving cyclosporine monotherapy vary significantly in terms of mortality risk; therefore, a prognosti...

Toward Smart and Adaptive Endovascular Devices: The Role of Digital Twins in Precision Vascular Medicine.

Endovascular implants, such as stents, flow diverters, and endografts, have reshaped cardiovascular therapy but still face trade-offs in restenosis, t...