Transplantation

Hemodynamics-driven magnetoelastic vascular grafts for stenosis diagnosis.

Conventional approaches for vascular graft stenosis diagnostics, including X-ray angiography, magnetic resonance imaging and Doppler ultrasound, although highly accurate, are cumbersome, used intermittently and often do not detect stenosis early enough, leading to diagnosis only after substantial narrowing. Here we report a magnetoelastic vascular graft (MVG) for post-implantation stenosis diagnos...

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 clinical outcomes. Accumulated evidence has demonstrated lactylation plays a vital role in the metabolic reprogramming. However the mechanisms underlying the role of lactylation in the regulation of HCC progression remain largely unknown. This study aims to construct a prognostic model based on lac...

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

STUDY OBJECTIVES: The rich information in sleep offers insights into brain function and overall health. The current guidelines for sleep staging by th...

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 optoelectronic or biological sensing applications ...

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 senescence and an imbalanced immune microenvironment wer...

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

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immunocompromised individuals, particularly transplant...

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 preoperative assessment of vascular involvement criti...

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 automatic detection of periodontal bone loss landmarks...

Renal graft imaging: An update and overview.

Imaging of renal graft function and pathology, including delayed graft function (DGF), often requires a multimodal approach. The existing literature d...

Updates on Kidney Transplantation From the World Transplant Congress 2025.

The World Transplant Congress 2025 showcased pivotal advances shaping the future of transplantation. Global efforts to expand access to transplantatio...

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 failure given its associations with improved survival, ...

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) for detecting drug-related problems (DRPs), yet t...

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. Many current methods fail to strike this balance: ...

Advances in the postoperative care of the liver transplant recipient.

PURPOSE OF REVIEW: Survival rates following liver transplantation now exceed 90% at one year. However, the patient group undergoing liver transplantat...

Risk prediction in IgA nephropathy: from conventional models to machine learning, deep learning, and precision nephrology.

IgA nephropathy (IgAN) is the most prevalent primary glomerular disease worldwide and a leading cause of end-stage kidney disease (ESKD). Its clinical...

[Design and synthesis of molecularly imprinted polymers and their applications in medical diagnosis and biocatalysis].

Molecularly imprinted technology （MIT） represents an advanced synthetic strategy that emulates biological recognition mechanisms， such as antigen-anti...

Advances in β-titanium alloys for safer and greener biomedical implants.

In the biomedical field, titanium alloys have long been preferred for orthopedic and dental devices due to their excellent biocompatibility and mechan...

The Rise of Aqueous Selenium-Based Batteries: Challenges, Strategies, and the Path Forward.

Aqueous metal-selenium batteries (AMSeBs) have emerged as promising candidates for safe, cost-effective, and high-energy-density energy storage, yet t...