Latest AI and machine learning research in transplantation for healthcare professionals.
Nanofiltration (NF) and reverse osmosis (RO) membranes play an increasingly important role in the re...
HLA-DRB1*04:01 is associated with numerous diseases, including sclerosis, arthritis, diabetes, and C...
Identifying the cause of death has always been a major focus and challenge in forensic practice and ...
Learning from data with long-tailed and open-ended distributions is highly challenging. In this work...
BACKGROUND/AIM: Sarcoidosis is a multisystem disorder that affects many organs, including the kidney...
Acute Myeloid Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid cells, dis...
Non-steroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, and other immunosuppressants are co...
BACKGROUND: The long-term survival of liver transplant (LT) recipients is essential for optimizing o...
Pure laparoscopic donor hepatectomy (PLDH) has become a standard practice for living donor liver tra...
Patients with advanced idiopathic pulmonary fibrosis (IPF), a complex and incurable lung disease wit...
The COVID-19 virus has impacted people worldwide, causing significant changes in their lifestyles. ...
BACKGROUND: Kidney transplantation is the optimal renal replacement therapy for children with end-st...
Deep learning (DL) tools developed on adult data sets may not generalize well to pediatric patients,...
Ischemic stroke (IS) is a severe condition regulated by complex molecular alterations. This study ai...
The process of splicing messenger RNA to remove introns plays a central role in creating genes and g...
Artificial intelligence (AI) is revolutionizing the field of biomedical research and treatment, leve...
AIMS: The aim of our study was to formulate and validate a prediction model using machine learning a...
Distributed neuromorphic architecture is a promising technique for on-chip processing of multiple ta...
Neural networks enable the processing of large, complex data sets with applications in disease diagn...
AIM: The aim of the study was to develop machine learning algorithms (MLA) for diagnosing acute graf...
Inflammatory responses, leading to fibrosis and potential host rejection, significantly hinder the l...