Transplantation

Water parks, vaping, COPD topics on team management, exacerbations, bronchoscopic therapies, lung transplantation, and artificial intelligence.

Hemoglobin as a Molecular Glue: Toward Potent Inhibition of HbS Polymerization in Sickle Cell Disease.

Sickle cell disease (SCD), a monogenic disorder arising from a single point mutation in the β-globin gene, continues to pose a significant global health burden despite advances in supportive care. This mutation drives the formation of hemoglobin S (HbS) polymers under deoxygenated conditions, causing erythrocyte sickling, vaso-occlusive crises, and multi-organ complications. Current therapies, suc...

"Comprehensive multi-omics of age-respective plasma and matrix-bound extracellular vesicles identifies anti-fibrotic miRNAs validated on a heart-on-a-chip".

Aging is a major risk factor for cardiovascular disease, the leading cause of death worldwide, and numerous other diseases, but the mechanisms of thes...

Organ preservation in rectal cancer: an endoscopist's perspective on current evidence and future directions.

Rectal cancer management has increasingly shifted toward organ-preserving strategies that aim to maintain oncologic control while preserving bowel, ur...

Forecasting Waitlist Trajectories for Patients With Metabolic Dysfunction-Associated Steatohepatitis Cirrhosis: A Neural Network Competing Risk Analysis.

BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) cirrhosis is a leading indication for liver transplantation (LT). Patients with MA...

Multi-cohort, cross-species urinary proteomics reveals signatures of LRRK2 dysfunction in Parkinson's disease.

Pathogenic mutations in Leucine-rich repeat kinase 2 (LRRK2) are the predominant genetic cause of Parkinson's disease (PD) and often increase kinase a...

Radiomics-based gradient boosting model on contrast-enhanced MRI for non-invasive prediction of epidermal growth factor receptor expression and therapeutic response to EGFR-targeted antibody-drug conjugates in high-grade glioma organoid models.

BACKGROUND: Epidermal growth factor (EGF) and its receptor EGF(EGFR) play crucial roles in glioblastoma (GBM) prognosis. However, non-invasive assessm...

Data-Integrated Elucidation of Structure-Activity Relationships toward the Rational Design of Perfluoroiodoarene-Based Halogen-Bond Donor Catalysts.

Understanding and predicting catalyst performance from structural and electronic information remains a central challenge in organocatalysis. Here, we ...

Engineering Immune Cell to Counteract Aging and Aging-Associated Diseases.

Aging and age-related diseases are a major public health concern, driving interest in anti-aging research. While small molecules and natural compounds...

Advanced immunotherapy across diseases and the role of artificial intelligence: A review.

Immunotherapy, a therapeutic strategy aimed at modulating the host immune system, has undergone rapid evolution over recent decades, particularly in o...

Advances in the pharmacology and mechanism of anti-skin aging in Tonifying Traditional Chinese Medicines.

ETHNOPHARMACOLOGICAL RELEVANCE: According to the Traditional Chinese Medicine (TCM) tenet that "internal imbalances manifest externally," skin aging r...

[Centennial evolution and innovative practices of functional protection in colorectal cancer surgery].

In the over-century-long history of colorectal tumor surgery, achieving organ function preservation has consistently been a central topic. Currently, ...

Trends and Scientific Evolution in Endovascular Aneurysm Repair (EVAR) Research: A Comprehensive Bibliometric Study Using VOSviewer.

BACKGROUND: Endovascular aneurysm repair (EVAR) has become a standard treatment for abdominal aortic aneurysms. However, the evolution of EVAR researc...

Predicting kidney graft survival with a machine learning model based on for-cause biopsy transcriptomics.

Kidney transplantation significantly improves outcomes in end-stage renal disease, however, long-term graft survival remains suboptimal. Traditional p...

Artificial intelligence-based tumor-stroma ratio quantification reveals prognostic value and stromal-driven immunosuppression in colorectal cancer: an international validation study.

A Monolithic Ferroelectric-Ionic Duality for Stochastic-Neuromorphic Core Integration.

Learning under uncertainty has become increasingly critical in data-intensive artificial intelligence applications, requiring computing systems that u...

Recapitulating lung cancer metastasis in vitro: Advances in organoid models and challenges in clinical translation (Review).

Lung cancer remains a significant global health challenge, with metastatic progression being the leading driver of mortality. Organoid technology prov...

Machine learning models based on adipocyte fatty acid-binding protein help predict the chronic and lethal outcomes of patients with drug-induced liver injury.

PURPOSE: Some patients with drug-induced liver injury (DILI) would progress into chronicity or lethal. Although adipocyte fatty acid-binding protein (...

High-throughput multi-camera array microscope platform for automated 3D behavioral analysis of swimming zebrafish larvae.

Understanding the behavioral and morphological dynamics of moving model organisms like the zebrafish larvae requires accurate, high-throughput 3D anal...

A framework for developing machine learning-based chemical fingerprinting models using large gas chromatograph-mass spectrometer datasets: Application to oil spill residues classification.

Chemical fingerprinting is a key environmental forensics technique used in oil spill investigations to identify the source and type of oil in spill re...