Anemia

Time-Dynamic AI Models to Predict Quality of Life in Patients With Breast Cancer: Development and Validation Study Using the EORTC BALANCE Cohort.

BACKGROUND: Patients with breast cancer often experience health-related quality of life (HRQoL) impairments that remain difficult to predict on an individual level. Prediction models can aid in understanding individual survivorship trajectories. However, current prognostic models are based on fixed intervals, limiting their utility in clinical follow-up schedules. OBJECTIVE: This study aimed to de...

Evaluation of basic life support practice skills based on artificial intelligence technology: system construction and evaluation equivalence validation.

BACKGROUND: Basic life support (BLS) skills are the core competencies of healthcare professionals in responding to emergency situations. Traditional manual assessments suffer from subjective bias, low efficiency, and are affected by examiner fatigue. Artificial intelligence (AI) technology brings innovative opportunities for skill assessment, but currently there is a lack of mature and validated B...

The effects of fatigue on the relation between ocular pursuit and interceptive performance in soccer experts.

Accuracy and duration of ocular pursuit of a target object have been linked to interceptive performance. Yet, previous assessments have not examined t...

Quantitative whole-body measurement of inflammothrombotic immunologic response disease using Fleming method for tissue and vascular differentiation and metabolism.

BACKGROUND: Precision theranostics in nuclear medicine requires reproducible, calibrated quantification of tissue perfusion, and metabolism. This stud...

Identifying Biomarkers Using a Portable, Home-Based Eye-Tracking System to Predict Short-Term Visual Fatigue Deterioration: Prospective Observational Feasibility Study.

BACKGROUND: The escalating prevalence of screen-related eye fatigue has become a health burden in the digital era worldwide, yet routine monitoring re...

The needle study: Machine learning as a new method for case-finding in celiac disease.

OBJECTIVES: Despite a well-defined diagnostic work-up, uncertainties persist regarding celiac disease (CeD) detection strategies in the general popula...

Machine learning models for predicting childhood anemia in Mozambique: analysis from national survey data.

Parametrically upscaled model-based predictive platform for fatigue with location-specific microstructural linkages.

Fatigue in metallic materials is a cost-intensive engineering challenge due to unpredictable occurrences when undergoing cyclic loading. Particularly ...

Artificial intelligence and wearable sensors in sports injury risk prediction: current status and future perspectives.

BACKGROUND: Artificial intelligence (AI) and wearable sensors are increasingly reshaping sports injury risk prediction by enabling continuous, individ...

Long COVID: Deep single-cell immunophenotyping and machine learning reveal a general signature for fatigue.

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocag...

FOSL2 regulates endothelial cell state and chromatin accessibility in systemic sclerosis pulmonary vascular remodeling.

Systemic sclerosis (SSc) is characterized by fibrosis and vasculopathy affecting the skin and internal organs, leading to multiorgan dysfunction. Inju...

Physiological predictors of respiratory motor plasticity: A machine-learning reappraisal of phrenic motor facilitation.

Acute intermittent hypoxia (AIH)-induced phrenic long-term facilitation (pLTF) is a well-established form of respiratory motor plasticity and a subtyp...

Nanomaterials reshaping cancer radiotherapy: Radiosensitization mechanisms, delivery and theranostic platforms, multimodal synergy, and clinical translation strategies.

Radiotherapy (RT) remains a cornerstone of cancer management but is fundamentally constrained by normal tissue toxicity, intrinsic and acquired radior...

Cognitive load and pedagogical tension in multi-platform online learning: Evidence from Chinese higher education.

The proliferation of digital tools has transformed higher education into a complex, multi-platform online learning environment. This study investigate...

Impact of land use on bus driver inattentiveness: Insight into crash risks.

OBJECTIVE: This study examines how roadside land-uses, namely commercial, residential, educational, and recreational establishments located on a typic...

Adaptive dual-modality neuromodulation for chronic pain and muscle dysfunction: real-world insights from the NXTSTIM™ EcoAI digital platform.

BACKGROUND: Chronic musculoskeletal pain is often inadequately managed with pharmacologic therapy. Although transcutaneous electrical nerve stimulatio...

Multimodal machine learning integrates clinical and comorbidity data to predict breast cancer prognosis and treatment outcomes.

Breast cancer prognosis and treatment outcomes are shaped by intricate interplay between tumor biology, systemic comorbidities, and patient-reported f...

Identifying Weekly Physical and Physiological Profiles in Professional Basketball Using Heart Rate Variability and Training Load Clustering.

This study applied an unsupervised machine-learning technique to characterize weekly physiological-load states in professional basketball players usin...

Artificial intelligence in cancer survivorship: evaluating ChatGPT's performance in rehabilitation-related queries.

PURPOSE: This study aimed to evaluate the performance of ChatGPT in responding to patient-centered queries related to cancer rehabilitation. It examin...