Latest AI and machine learning research in liver transplantation for healthcare professionals.
Echinacea is used for its immunostimulating properties and may have a role in modulating adverse imm...
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its o...
BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models fo...
Due to the importance of cirrhosis evolution, this study examined cirrhotic patients using Self Orga...
Fingolimod is an immunosuppressive agent which is used for the prophylaxis of organ transplantation ...
Liver sinusoidal endothelial cells (LSECs) are increasingly recognized as a critical yet underexplor...
Background Liver fibrosis (LF) represents a pivotal pathological phase in the advancement of chronic...
Background: Per- and polyfluoroalkyl substances (PFAS), particularly perfluorooctane sulfonate (PFOS...
Background: Inappropriate normalization can lead to data leakage and overfitting in machine learning...
Background. Climate change is intensifying extreme weather events (EWEs) with potentially profound c...
Background: Interferon-gamma (IFN-{gamma}) is the primary effector cytokine of adaptive anti-tumor i...
Regional lymph node (LN) metastasis critically influences distant metastatic progression, anti-tumou...
Drug-induced liver injury (DILI) is an acute inflammatory liver disease caused not only by prescript...
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL...
Background: Liver cancer primarily develops in patients with chronic liver disease (CLD), yet most c...
Background: Traditional heart transplant registries often lack the granularity required for deep phe...
Foundation models trained on patient electronic health records (EHRs) hold promise for transforming ...
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index ...
BackgroundSystemic infections are a leading cause of hospitalization and death among patients with c...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...
BACKGROUND AND AIMS: To develop a deep learning model based on high-frequency ultrasound images to c...