Latest AI and machine learning research in transplantation for healthcare professionals.
Accurate prediction of malignancy in renal tumors is crucial for informing clinical decisions and op...
Pose-guided human image animation aims to synthesize realistic videos of a reference character drive...
Large-scale, volumetric medical imaging datasets typically aggregate scans from different vendors an...
Learning-based 3D visual geometry models have significantly advanced with the advent of large-scale ...
Artificial intelligence has emerged as a transformative tool in medical image analysis, yet developi...
Chimeric antigen receptor (CAR) T cell therapies have reshaped treatment for cancers and immune-medi...
Fecal microbiota transplantation (FMT) has emerged as a highly effective treatment for recurrent Clo...
Although multiple high-performing epigenetic aging clocks exist, few are based directly on gene expr...
Neural progenitor cell (NPC) transplantation holds immense promise for neurodegenerative and traumat...
Primary central nervous system lymphoma (PCNSL) is a subtype of diffuse large B-cell lymphoma (DLBCL...
Alternative splicing is a core determinant of cell-type-specific gene expression in humans, and its ...
Augmented reality can improve tumor localization in laparoscopic liver surgery. Existing registratio...
Computed Tomography (CT) is one of the most widely used and diagnostically information-dense imaging...
Virtual screening aims to efficiently identify active ligands from massive chemical libraries for a ...
Biological age estimators quantify aging-related variation but provide limited insight into organ-sp...
Conventional two-dimensional (2D) histology relies upon destructive sample preparation and stereolog...
Existing medical imaging datasets for abdominal CT often lack three-dimensional annotations, multi-o...
This work proposes a quantum inspired adaptive quantization framework that enhances the classical JP...
Large-scale diffusion models such as FLUX (12B parameters) and Stable Diffusion 3 (8B parameters) re...
Background: Liver cancer primarily develops in patients with chronic liver disease (CLD), yet most c...
Purpose: Translating foundation models into clinical practice requires evaluating their performance ...