Latest AI and machine learning research in transplantation for healthcare professionals.
INTRODUCTION: Cytomegalovirus infection (CMV) in a kidney transplant recipient (KTR) is a serious co...
We previously demonstrated that Machine learning (ML) algorithms can accurately estimate drug area u...
Robot-assisted kidney transplantation (RAKT) is a technically challenging procedure and there has b...
In the present study, a sensitive LC-MS/MS method was developed and validated to measure pioglitazon...
To increase the robustness and control precision of a hydraulic quadruped robot and simultaneously e...
Research into artificial intelligence (AI) has made tremendous progress over the past decade. In par...
Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent ...
Necklace orchids (Coelogyninae, Epidendroideae) have been used in traditional medicine practices for...
INTRODUCTION: Liver transplantation (LT) is an effective treatment for hepatocellular carcinoma (HCC...
Autologous reconstruction using abdominal flaps remains the most popular method for breast reconstru...
Celiac disease (CeD) is a common autoimmune disorder caused by an abnormal immune response to dietar...
Whole slide imaging, which is an important technique in the field of digital pathology, has recently...
Image segmentation for human organs is an important task for the diagnosis and treatment of diseases...
The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and end...
Myasthenia gravis (MG) is a chronic autoimmune disease of the nervous system, which is still incurab...
Magnetic resonance (MR) protocols rely on several sequences to assess pathology and organ status pro...
Multimodal retinal imaging plays an important role in ophthalmology. We propose a content-adaptive m...
Iris Recognition at-a Distance (IAAD) is a major challenge for researchers due to the defects associ...
BACKGROUND: Splicing of genomic exons into mRNAs is a critical prerequisite for the accurate synthes...
OBJECTIVE: Medical electrical impedance tomography is a non-ionizing imaging modality in which low-a...
Predictive models are becoming more and more commonplace as tools for candidate antigen discovery to...