Transplantation

Liver Transplantation

Latest AI and machine learning research in liver transplantation for healthcare professionals.

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The role of tumor microenvironment and immune cell crosstalk in triple-negative breast cancer (TNBC): Emerging therapeutic opportunities.

Triple-negative breast cancer (TNBC) is an aggressive subtype characterized by its lack of estrogen,...

28-day all-cause mortality in patients with alcoholic cirrhosis: a machine learning prediction model based on the MIMIC-IV.

To develop and validate a machine learning prediction model for 28-day all-cause mortality in patien...

Identification and evaluation of biomarkers for diagnosis of chronic hepatitis B using RNA-seq.

BACKGROUND & AIM: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of ...

Modelling the liver's regenerative capacity across different clinical conditions.

BACKGROUND & AIMS: Liver regeneration is essential for recovery following injury, but this process c...

Development of an immune scoring system based on exosome-related gene expression for prognosis and treatment response prediction in breast cancer.

Breast cancer (BC) is a heterogeneous disease with diverse subtypes that influence prognosis and tre...

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 transformat...

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...

Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibros...

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

The tumor microenvironment (TME) significantly influences cancer prognosis and therapeutic outcomes,...

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 exhal...

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 comparativel...

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

Oncolytic vaccinia viruses armed with interleukins represent a promising frontier in tumor therapy. ...

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 resist...

New Insights into the Diagnosis and Treatment of Hepatocellular Carcinoma.

Hepatocellular carcinoma remains one of the leading contributors to global cancer mortality, frequen...

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 v...

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...

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 injecti...

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 trainin...

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