Liver Transplantation

Disulfide bond-related gene signature development for bladder cancer prognosis prediction and immune microenvironment characterization.

Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers and heterogeneous responses to immunotherapy. Disulfide bond-driven cell death has emerged as a critical regulator of tumor progression and immune microenvironment remodeling. By integrating data from TCGA and GEO cohorts, we developed a Disulfide-Related Prognostic Signature (DRPS) using ten machi...

Hepatitis B In Silico Trials Capture Functional Cure, Indicate Mechanistic Pathways, and Suggest Prognostic Biomarker Signatures.

In silico trials, utilizing mathematical models calibrated with clinical data, present a transformative approach to expedite drug development. We propose a virtual trial framework for chronic Hepatitis B, accurately simulating clinical protocols, patient characteristics, and endpoints using a mechanistic mathematical model. Clinical trial simulations with this model successfully captured functiona...

Applying exposure-response analysis to enhance Mycophenolate Mofetil dosing precision in pediatric patients with immune-mediated renal diseases by machine learning models.

BACKGROUND: Mycophenolate mofetil (MMF), a cornerstone immunosuppressant for lupus nephritis, is increasingly used off-label in pediatric immune-media...

Immunotyping the Tumor Microenvironment Reveals Molecular Heterogeneity for Personalized Immunotherapy in Cancer.

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes, yet its composition remains highly heterogeneous,...

Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibrosis and nodular regeneration that significantly inc...

Future Perspectives of Liver Research in the Asia-Pacific Region: Focus on Hepatitis B and C.

The Asia-Pacific region faces serious liver health challenges, primarily because of the comparatively high prevalence of hepatitis B virus (HBV) and h...

Discovering the metabolic pathway of liver disease by breath mass spectrometry combined with machine learning.

On account of the low concentration and complex background, most methods for detecting VOCs in exhaled breath samples required preconcentration prior ...

Enhancing liver disease diagnosis with hybrid SMOTE-ENN balanced machine learning models-an empirical analysis of Indian patient liver disease datasets.

INTRODUCTION: The liver is one of the vital organs of human body that performs some of the most crucial biological processes such as protein and bioch...

Unmet needs in autoimmune liver diseases.

Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defined autoimmune liver diseases, the pathophysiology ...

Advances of oncolytic vaccinia viruses armed with interleukin in tumor therapy.

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. Oncolytic vaccinia viruses express IL-2, IL-10, IL...

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples.

It is estimated that approximately 15% of cancers worldwide can be linked to viral infections. The viruses that can cause or increase the risk of canc...

A multi-faceted discovery strategy identifies functional antibodies binding to cysteine-rich domain 1 of hDKK1 for cancer immunotherapy via Wnt non-canonical pathway.

Wnt signaling is important in embryonic development and tumorigenesis. These biological effects can be exerted by the activation of the β-catenin-depe...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequently stemming from chronic liver conditions, such a...

Predicting Treatment Outcomes in Glioblastoma: A Risk Score Model for TMZ Resistance and Immune Checkpoint Inhibition.

Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resistance to standard chemotherapy, i.e., temozolomide ...

Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach.

AIM: This study aimed to determine the important features and cut-off values after demonstrating the detectability of cirrhosis using routine laborato...

Longitudinal changes in minerals are influenced by immunosuppressive treatment in men with granuloma disease.

PURPOSE: To investigate whether granuloma formation following self-administered cosmetic oil injections affects mineral homeostasis, specifically calc...

Anti-HBs persistence and anamnestic response among medical interns vaccinated in infancy.

Medical interns are at high risk of acquiring Hepatitis B Virus (HBV) infection during their training. HBV vaccination is the most effective measure t...

Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period.

BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and machine learning (ML) algorithms, is a suitable app...

Use of polyethylene glycol precipitation and ultracentrifugation to enhance the sensitivity of hepatitis B virus DNA detection.

BACKGROUND: Sensitive molecular detection of hepatitis B virus (HBV) DNA is crucial for diagnosing and managing occult hepatitis. To improve the sensi...

Beyond immunosuppression: decoding systemic immune dysregulation in ICU-acquired pneumonia.