Latest AI and machine learning research in transplantation for healthcare professionals.
We use three-dimensional culture systems of human pluripotent stem cells for differentiation into pi...
The coronavirus disease 2019 pandemic has underscored the importance of vaccines, especially for imm...
The increasing utilization of deep neural networks (DNNs) in safety-critical systems has raised conc...
Post-transplant allograft fibrosis remains a challenge in prolonging allograft survival. Regulated ...
Class Incremental Learning (CIL) constitutes a pivotal subfield within continual learning, aimed at ...
OBJECTIVE: Critically ill patients with liver cirrhosis generally have a poor prognosis due to compl...
This review provides a summary of the diagnostic approach to pediatric liver transplantation (LT) pa...
The Anti-Nuclear Antibodies (ANA) test using Human Epithelial type 2 (HEp-2) cells in the Indirect I...
INTRODUCTION: The identification of peptides eluted from HLA complexes by mass spectrometry (MS) can...
BACKGROUND: The demographic shift towards an older population presents significant challenges for ki...
We are writing in response to the recent publication on the use of artificial intelligence, particul...
BACKGROUND: This study aims to compare the informational quality of online and artificial intelligen...
Machine learning can be used to identify risk factors associated with graft rejection after corneal ...
Allogeneic hematopoietic cell transplantation (allo-HCT) presents a potentially curative treatment f...
BACKGROUND: Tumor assessment through imaging is crucial for diagnosing and treating cancer. Lesions ...
This paper addresses the pressing issue of diabetes, which is a widespread condition affecting a hug...
As many countries face rapid population aging, the supply of manpower for caregiving falls far short...
This paper presents Super Twisting Sliding Mode Control with a novel Fuzzy PID Surface for improved ...
BACKGROUND: Leukemia necessitates continuous research for effective therapeutic techniques. Acute le...
Machine learning has gained attention in the medical field. Continuous efforts are being made to dev...
Fish age is an important biological variable required as part of routine stock assessment and analys...