Transplantation

Exploring the toxicological mechanisms of Benzo[a]anthracene (BaA) exposure in lung adenocarcinoma (LUAD) via network toxicology, machine learning, and multi-dimensional bioinformatics analysis.

BACKGROUND: Lung adenocarcinoma (LUAD) is a major lung cancer subtype influenced by environmental fa...

Identification of mitochondrial dysfunction-related biomarkers and immune infiltration in liver ischemia-reperfusion injury via integrated bioinformatics and machine learning.

BACKGROUND: Mitochondrial dysfunction contributes to the pathogenesis of multiple diseases. This stu...

From myth to machine: artificial intelligence and the future of organ transplantation.

Development and validation of a prognosis model for low-grade gliomas based on metabolic gene risk scoring and immune microenvironment interaction.

PURPOSE: Low-grade gliomas(LGGs) show significant clinical and molecular heterogeneity, complicating...

Teravoxel Microscopy Image Analysis for Neurological Diseases.

Light-sheet fluorescence microscopy (LSFM) has emerged as a revolutionary imaging modality for inves...

HLA-DPA1 as a diagnostic biomarker differentiating early- and late-onset preeclampsia.

The occurrence and development of a wide range of preeclampsia (PE), especially early-onset preeclam...

Hemodynamics-driven magnetoelastic vascular grafts for stenosis diagnosis.

Conventional approaches for vascular graft stenosis diagnostics, including X-ray angiography, magnet...

A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumor with poor...

Health-oriented sleep states: making sleep states reflect health conditions.

STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall heal...

Reply: The application of generative artificial intelligence in liver transplantation weight trajectory.

Unveiling key descriptors via machine learning: toward rational molecular design of chromophores with excited-state intramolecular proton transfer.

Precise design of excited-state intramolecular proton transfer (ESIPT) molecules targeting advanced ...

Trichosanthes kirilowii extract alleviated liver fibrosis and acute myocardial infarction by inhibiting VCAN to restrain monocyte senescence: Insights from bioinformatic analyses and experimental validation.

BACKGROUND: Liver fibrosis and acute myocardial infarction (AMI) tended to co-occur. Cellular senesc...

A machine learning model for accurate prediction of CMV end-organ disease.

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immu...

Multi-structure CT radiomics-based consensus model for the diagnosis of pancreatic ductal adenocarcinoma and vascular involvement.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy, with accurate pre...

Periodontal bone loss analysis via keypoint detection with heuristic post-processing.

OBJECTIVES: This study proposes a deep learning framework and an annotation methodology for the auto...

Renal graft imaging: An update and overview.

Imaging of renal graft function and pathology, including delayed graft function (DGF), often require...

Updates on Kidney Transplantation From the World Transplant Congress 2025.

The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation....

Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?

Kidney transplantation is usually the optimal treatment option for patients living with kidney failu...

Real-world evaluation of large language models in detecting drug-related problems: A clinical pharmacist-AI concordance study in hematology care.

IntroductionLarge language models (LLMs) offer potential as clinical decision support systems (CDSS)...

Challenging a clinical dogma with multimodal machine learning: a retrospective analysis of transplant mismatched donor selection.

ReFaceX: donor-driven reversible face anonymisation with detached recovery.

Organisations must share facial imagery that remains useful for analysis while protecting identity. ...