Anemia

Transforming Cancer Treatment: Integrative Strategies Targeting the Tumor Microenvironment through Biological Innovation and Artificial Intelligence.

Cancer is no longer viewed solely as a consequence of tumor-intrinsic genetic alterations but rather as a disease sustained by a complex and evolving tumor microenvironment (TME). The TME functions as an organized and dynamic ecosystem in which malignant cells interact continuously with immune populations, stromal elements, vascular networks, extracellular matrix components, and soluble mediators....

Programmable nanoprobes for molecular imaging of cancer: toward adaptive and context-responsive diagnostics.

Molecular imaging has emerged as a powerful tool for early cancer detection and real-time visualization of disease progression; however, conventional imaging probes remain limited by static signal output, suboptimal specificity, and low target-to-background ratios (typically <2-3 fold), restricting their sensitivity in complex tumor microenvironments. In recent years, stimuli-responsive nanoprobes...

Modernizing Growth Promotion Testing using APAS® Independence: Poster Presented at PDA Week 2026.

Agar-based methods remain a cornerstone of environmental monitoring in cleanroom environments due to their unmatched ability to detect viable microorg...

Mental workload classification using EEG in drivers: A personalized approach to occupational risk reduction.

BackgroundMental state is a key factor influencing occupational health and safety, particularly in professional drivers who are exposed to high cognit...

[Technology-Enabled Nursing Practice: Clinical Decision Support, Early Warning Analytics, and Human-Centered Care].

This article was written to investigate technology-enabled nursing practice, with particular attention given to the integrated use of clinical decisio...

[From Sensing to Decision: Leveraging Technology to Enhance Nursing Clinical Judgment].

With the rapid integration of Artificial Intelligence (AI), the Internet of Things, and sensing technologies into healthcare, the nursing frontline is...

A tabular prior-data fitted network-based prediction model integrating ferritin and total iron-binding capacity for 30-day all-cause mortality in critically ill cancer patients.

OBJECTIVES: Accurately predicting outcomes for critically ill cancer patients remains challenging. This study aimed to integrate biologically relevant...

Evaluation of an AI-Based Constraint-Optimization Scheduler to Optimize On-Call Schedule Equity and Reduce Administrative Burden in a Pediatric Residency: Retrospective Comparative Study.

BACKGROUND: Resident scheduling is a high-dimensional optimization problem with implications for workload, fatigue risk, and equity. Real-world evalua...

Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.

Electronic skin powered with artificial intelligence could enable next-generation robotic and medical devices, yet integrating multimodal sensors and ...

Beyond alert fatigue: Automation bias, deskilling, and clinical decision-making in the age of AI.

Stress Reactions in Bone and Stress Fractures.

The term "stress fracture" encompasses a spectrum of bone injuries resulting from repetitive submaximal loading that exceeds the bone's capacity for r...

Effect of pilates exercises plus breastfeeding positioning adjustment on artificial intelligence-assessed craniovertebral angle in breastfeeding women with forward head posture: a randomized controlled trial.

Forward head posture (FHP), considered a neuromusculoskeletal disorder, includes those associated with breastfeeding. Pilates is recognized for improv...

Causal treatment effects of gait-analysis-informed surgery on the Gait Outcomes Assessment List in children with cerebral palsy.

AIM: To estimate the effect of surgery on parent-reported gait outcomes as measured using the Gait Outcomes Assessment List (GOAL) questionnaire in a ...

An explainable machine learning approach for cervical cancer screening: decoding morphological diagnostic drivers.

BACKGROUND: Cervical cancer screening in primary care is hindered by expert pathologist shortages and heavy diagnostic workloads, leading to fatigue-i...

Ultra-wideband radar to measure in vivo muscle forces.

Accurate measures of muscle forces are critical for engineers, clinicians, and biomechanists, yet direct measurement is highly invasive, and current e...

Elevated Circulating AIF1L as a Cell-Free RNA Biomarker of Preeclampsia Impairs Trophoblast Function via Mitochondrial Dysregulation.

INTRODUCTION: Preeclampsia (PE) is a multifaceted pregnancy disorder marked by impaired trophoblast invasion and placental ischemia. Although common, ...

Deep learning for automated instance segmentation of residual roots in panoramic radiographs using mask R-CNN: A retrospective diagnostic accuracy study.

BACKGROUND: This study aimed to evaluate the efficacy of Mask regions with convolutional neural network (R-CNN) for the automated detection and segmen...

Characterization and Validation of EHR Computable Phenotypes for Long COVID Using Patient-Reported Symptoms: Insights from the Nationwide RECOVER Program.

OBJECTIVE: Long COVID (LC) remains poorly understood, and there is a critical need for advanced computational tools to better identify and characteriz...

Intraoperative spectral imaging versus ICG fluorescence for gastric conduit viability in esophagectomy.

BACKGROUND: Anastomotic leakage remains a critical complication following esophagectomy, occurring in 8-20% of patients. While indocyanine green fluor...

Predictor Of Mortality In Obstructive Sleep Apnoea: Results of Explainable Deep Learning based Survival Analysis From a 15-Year Follow-Up.

INTRODUCTION: Obstructive sleep apnoea (OSA) is a respiratory disorder with comorbidities of several nature, from cardiovascular to renal ones. OSA is...