Latest AI and machine learning research in transplantation for healthcare professionals.
AIM: This study aimed to explore the mechanisms of transient receptor potential (TRP) channels on th...
BACKGROUND: Kidney transplantation is a complex process requiring extensive preparation and ongoing ...
Stem cell organoids are powerful models for studying organ development, disease modeling, drug scree...
Cancer survival rates in prepubertal girls and young women have risen in recent decades due to incre...
While significant strides have been made in predicting neoepitopes that trigger autologous CD4+ T ce...
The inherent heterogeneity of cancer contributes to highly variable responses to any anticancer trea...
The food security of China as a big agricultural country is attracting increasing attention. With th...
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous and prevalent subtype of aggressive non-Hod...
Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, th...
Nutcracker phenomenon is the compression of the left renal vein between the superior mesenteric art...
With the rapid development of dental artificial intelligence systems (DAIS), a new field known as "D...
UNLABELLED: The three-dimensional (3D) tumor microenvironment (TME) comprises multiple interacting c...
Standardized training programs for open (OKT) and robot-assisted kidney transplantation (RAKT) remai...
Our objective was to establish and test a machine learning-based screening process that would be app...
Radiologic pattern has been shown to predict survival in patients with fibrosing interstitial lung ...
Deep learning methods for protein sequence design focus on modeling and sampling the many- dimension...
Hepatocellular carcinoma (HCC) is one of the most common malignancies and is a major cause of cancer...
Healthcare providers learn continuously, but better support for provider learning is needed as new b...
To aid in the transparency of state-of-the-art machine learning models, there has been considerable ...
Recent work has demonstrated that large language models (LLMs) are powerful tools for clinical infor...
BACKGROUND: Diagnostic challenges exist for CMV pneumonia in post-hematopoietic stem cell transplant...