Latest AI and machine learning research in transplantation for healthcare professionals.
Widely adopted medical image segmentation methods, although efficient, are primarily deterministic a...
Training deep computer vision models requires manual oversight or hyperparameter tuning of the learn...
There is an urgent need for triage and classification of high-volume medical imaging modalities such...
Introduction: Tacrolimus remains central to liver transplantation, yet its narrow therapeutic index ...
Medical image segmentation remains a critical bottleneck in clinical workflows, from diagnostic radi...
The growth of generative AI and easily available Open Access health datasets has transformed researc...
Computational protein design using machine learning models has advanced rapidly since the introducti...
Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ul...
Spatially resolved transcriptomics (SRT) is a promising new technology that enables simultaneous ana...
Batch effects represent a major confounder in genomic diagnostics. In copy number variant (CNV) dete...
Deploying medical image segmentation models in routine clinical workflows is often constrained by on...
Immune monitoring is essential for maintaining immune homeostasis after renal transplantation (RT). ...
Nasopharyngeal carcinoma (NPC) is a malignant tumor that originates from the back of the nasal canal...
The utilization of cellulose derivatives offers an eco-friendly alternative to petroleum-based polym...
Magnetic resonance imaging (MRI) has the potential to identify post-operative risk factors for re-te...
Decisions about managing patients on the heart transplant waitlist are currently made by committee...
Deep brain stimulation (DBS) is an established intervention for Parkinson's disease (PD), but conv...
Computational pathology (CoPath) leverages histopathology images to enhance diagnostic precision a...
Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults wi...
Snapshot hyperspectral imaging systems acquire spectral data cubes through compressed sensing. Rec...
Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacki...