Transplantation

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 large scale. One viable, a low-cost alternative would be to directly predict spatial gene expression from routine hematoxylin eosin (H&E) stained WSIs. Yet, the spatial context of the H&E image corresponding to a ST is not effectively utilized in cu...

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 advanced educational technologies. This study presents an interprofessional mobile application that integrates game-based learning with a context-aware artificial intelligence (AI) assistant supported by generative AI and retrieval-augmented generation (RAG...

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...

AI-based bone age assessment versus forensic expert panel: agreement, sex bias, and ethical implications.

BACKGROUND: Forensic age estimation is frequently requested when chronological age is unknown or contested. While automated bone age systems have been...

Cracking the code of heatstroke: new insights into diagnosis and pathological mechanisms.

As global temperatures continue to rise, the incidence and mortality rates of heatstroke (HS) have significantly increased. However, the current foren...

Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.

Despite advances in lipid-lowering and anti-inflammatory medications, atherosclerotic cardiovascular disease (ASCVD) continues to be the leading cause...

Machine-Learning-Enabled Rapid Evolution of Photoenzymes for the Asymmetric Synthesis of gem-Difluorophosphonates.

gem-Difluorophosphonates are pivotal structural motifs in pharmaceuticals and bioactive molecules. While photoenzymatic catalysis provides a powerful ...

Machine Learning-Driven Discovery of Indole/Oxoindole-Piperazine Scaffolds as Dual MAO-B/Sig-1R Ligands for Neurodegenerative Disorders.

The monoamine oxidase B (MAO-B) enzyme and Sigma-1 (Sig-1R) receptor are therapeutically relevant targets implicated in neurodegenerative and neuropsy...

Integrative transcriptomics, machine learning, and molecular docking derive a DAM-like macrophage signature for risk stratification and therapeutic nomination in glioblastoma.

Glioblastoma presents a significant challenge for drug development due to its complex immunosuppressive microenvironment. Identifying candidate therap...

Spatial transcriptome and single-cell reveal the role of sorbitol metabolism in hepatocellular carcinoma progression and tumor microenvironment.

BACKGROUND: Metabolic reprogramming represents a hallmark feature of hepatocellular carcinoma (HCC). As a crucial branch of the polyol pathway, the bi...

Pangenome-guided immunoinformatics design and in silico characterization of a multi-epitope vaccine candidate against Acinetobacter baumannii with nanoparticle assembly potential.

Acinetobacter baumannii is a critical multidrug-resistant pathogen causing severe healthcare infections with high mortality, yet no licensed vaccine e...

Clinical trials and evaluation of AI tools in solid organ transplantation: implications for clinical care, regulatory science, and rare diseases.

Artificial Intelligence (AI) has widespread applications in solid organ transplantation (SOT), a field that fundamentally depends on optimizing comple...

Heatstroke Over the Past Decade: Risk Factors, Long-Term Health Consequences, and Preventive Measures.

BACKGROUND: Heatstroke (HS) encompasses acute multi-organ dysfunction and increases susceptibility to subsequent heat-related conditions, making timel...

Prioritization of molecular signatures between BDE-209-relevant targets and ulcerative colitis: a network toxicology and bioinformatics analysis.

BACKGROUND: Decabromodiphenyl ether (BDE-209) is a widely used flame retardant and persistent environmental contaminant. However, the overlap between ...

Navigating Acceptability: A Think-Aloud Study of Subjective and Contextual Factors in Radiographic Image Rejection.

INTRODUCTION: Radiographic image quality is evaluated based on technical and anatomical criteria; however, this study investigates how radiographers i...

Bridging Organ-on-a-Chip and Omics: A Multi-Dimensional Frontier in Biomedical Research.

Organ-on-a-Chip (OOC) technology offers a powerful platform for replicating human tissue-specific microenvironments, thereby narrowing the translation...

Current Advances and Navigating the Complexities of SVG-PCI.

Saphenous vein graft (SVG) percutaneous coronary intervention (PCI) remains technically challenging and clinically high risk due to the friable, throm...

Precision Transfusion Medicine in the Omics Era.

Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...