Transplantation

Machine learning-based long-term degradation and LCOE Analysis of floating PV with custom pontoon design.

Floating Photovoltaic (FPV) systems are a feasible alternative for solar energy utilization in areas where land is scarce. However, issues related to performance degradation, ecological effects, and economic viability have restricted the widespread acceptance of this technology. This study examines the eco-compatibility of a 5 MW FPV solar plant, which is suitable for a wetland ecosystem in Bangla...

Transforming Pulmonary Arterial Hypertension: Key Milestones and Future Perspectives.

Pulmonary arterial hypertension (PAH) is a rare, progressive disease of the precapillary pulmonary arteries, characterized by fibroproliferative vascular remodeling, increased pulmonary vascular resistance, right ventricular failure, and premature death. Over the past four decades, substantial advances in understanding PAH pathobiology, epidemiology, diagnosis, and treatment have meaningfully impr...

Repurposing Thiamine-Dependent Benzaldehyde Lyases as Visible-Light-Driven Radical Acyltransferases.

ConspectusThiamine diphosphate (ThDP)-dependent enzymes are among nature's most elegant biocatalysts for C-C bond formation and cleavage, typically op...

Activated Cancer-Associated Fibroblasts Are Associated with Immunosuppression and Poor Prognosis in Clear Cell Renal Cell Carcinoma.

INTRODUCTION: Clear cell renal cell carcinoma (ccRCC) exhibits substantial heterogeneity within its tumor microenvironment, contributing to variable c...

MAPPING THE MTOR PATHWAY IN LUNG TRANSPLANTATION: IS IT TIME FOR A BIOMARKER-DRIVEN PRECISION THERAPY?

Solid organ transplantation has revolutionized the treatment of end-stage diseases, yet long-term graft survival remains constrained by immune-mediate...

Artificial Intelligence Cannot Replace Peer Reviewers but May Help Editors Triage: A Comparative Analysis of a Large Language Model and Human Reviewer Recommendations at the American Journal of Sports Medicine.

BACKGROUND: The peer review system faces increasing strain from rising manuscript volumes, reviewer fatigue, and well-documented interreviewer disagre...

A classification model for predicting corticosteroid and cyclosporin: A responsiveness in pediatric idiopathic uveitis.

BACKGROUND: To identify serum metabolic biomarkers that distinguish corticosteroid and cyclosporin A (CS & CsA) resistant pediatric idiopathic uveitis...

TIPs: a deep learning-guided proteogenomic framework to expand the landscape of transposable element-derived antigens with immunopeptidomics.

Transposable elements (TEs) represent an abundant and important source of HLA-presented antigens, but their immunopeptidomic characterization remains ...

ANFIS-derived response surfaces reveal organ-specific optimal conditions for nutrient supply, light quality, plant developmental status, and culture configuration in Phalaenopsis amabilis in vitro propagation.

BACKGROUND: Tissue culture optimization in orchids is constrained by the impracticality of experimentally testing all possible combinations of environ...

SLIC-Former: a superpixel-guided transformer framework for automatic liver segmentation in CT images.

Accurate and efficient liver segmentation from computed tomography (CT) images remains a critical challenging task due to the organ's irregular shape,...

A late fusion multi-task learning for respiratory waveform and rate estimation from photoplethysmography.

Continuous respiratory monitoring enables early detection of physiological deterioration, yet conventional capnography remains impractical for prolong...

Metal-organic frameworks (MOFs) for nonlinear optical properties: design principles, DFT insights, and future directions for photonic applications.

Metal-organic frameworks (MOFs) have emerged as a uniquely versatile platform for nonlinear optical (NLO) applications, combining the large hyperpolar...

Machine Learning-Based Privacy Preserving via CT/MRI and Organ Metadata Prediction.

Medical imaging plays a significant role in diagnosis and treatment planning, with significant efforts focused on training machine learning (ML) algor...

Integrative profiling of senescence-associated cells and genes identifies UGT1A7 as a prognostic and therapeutic target in Lung squamous cell carcinoma.

Lung Squamous Cell Carcinoma (LUSC), a common subtype of non-small cell lung cancer, primarily occurs in elderly individuals and is closely linked to ...

SERSome-based metabolic profiling of aqueous humor for cataract subtyping with molecule-level interpretability.

Cataract is among the leading cause of vision impairment worldwide and it is essential to uncover molecule-level characteristics of different cataract...

DFCE-KanT: Predicting Spatial Gene Expression from Histology Images via Contrastive Learning.

MOTIVATION: Spatial transcriptomics (ST) can quantitatively characterize the spatial molecular profile in tissues and yet is costly to be applied at a...

Fostering Metacognition in Anatomy Education Through Game-Based Learning and a Context-Aware AI Assistant.

Anatomy education is increasingly challenged by limited access to body donor materials, high infrastructure costs, and unequal availability of advance...

Aptamer-Directed Assembly of NSET Microneedle Patch for Early Detection of Acute Kidney Injury Facilitated by Deep Learning-Enabled Target Signal Extraction.

Neutrophil gelatinase-associated lipocalin (NGAL) is a promising early biomarker for acute kidney injury (AKI), yet current biosensors lack the capabi...

Dissecting human organ development using spatial technologies.

Spatial technologies have revolutionized the study of human development by enabling molecular profiling within intact tissue architecture. Advances in...

Astragalus polysaccharide-based thermoresponsive hydrogel loaded with β-elemene nanoemulsion in combination with anti-PD-L1 therapy for triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is classified as an immunologically cold tumor, which markedly weakens the therapeutic efficacy of immune checkpo...