Latest AI and machine learning research in transplantation for healthcare professionals.
A methodological contribution to a reproducible Measurement of Emotions for an EEG-based system is proposed. Emotional Valence detection is the suggested use case. Valence detection occurs along the interval scale theorized by the Circumplex Model of emotions. The binary choice, positive valence vs negative valence, represents a first step towards the adoption of a metric scale with a finer resolu...
Developing a new functional sensitized structure for improving the inherent property of photoactive materials and selecting an efficient electron donor as a photoelectrochemical (PEC) signal amplification strategy are crucial for achieving excellent PEC biosensors. Herein, we present a facile one-pot hydrothermal strategy for fabricating ZnO nanorod-decorated 3D graphene aerogels (ZnO/GAs). In thi...
BACKGROUND: Advancements based on artificial intelligence have emerged in all areas of medicine. Many decisions in organ transplantation can now poten...
Interstitial fibrosis, tubular atrophy, and inflammation are major contributors to kidney allograft failure. Here we sought an objective, quantitative...
BACKGROUND: Kidney allograft failure is a common cause of end-stage renal disease. We aimed to develop a dynamic artificial intelligence approach to e...
Aging refers to progressive physiological changes in a cell, an organ, or the whole body of an individual, over time. Aging-related diseases are highl...
A crucial process in the production of industrial enzymes is recombinant gene expression, which aims to induce enzyme overexpression of the genes in a...
Minimally invasive techniques have been at the forefront of surgical progress, and the evolution of endovascular robotic technologies has seen a parad...
BACKGROUND: Calciphylaxis is not uniquely observed in uraemic patients, as some cases have also been reported in patients with normal renal function o...
Background Imaging assessment for hepatomegaly is not well defined and currently uses suboptimal, unidimensional measures. Liver volume provides a mor...
Olfactory receptors (ORs) constitute the largest superfamily of G protein-coupled receptors (GPCRs). ORs are involved in sensing odorants as well as i...
Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing important clinical needs when applied to medical ...
The selection of peptides presented by MHC molecules is crucial for antigen discovery. Previously, several predictors have shown impressive performanc...
PURPOSE: Robot-assisted kidney transplant (RAKT) recently proved to provide functional results similar to the preferred open kidney transplant (OKT), ...
Soft grippers that incorporate functional materials are important in the development of mechanically compliant and multifunctional interfaces for both...
UNLABELLED: Although most patients who undergo anterior cruciate ligament (ACL) reconstruction achieve long-term functional stability and symptom reli...
Radiotherapy (RT) datasets can suffer from variations in annotation of organ at risk (OAR) and target structures. Annotation standards exist, but thei...
Although confirmatory modeling has dominated much of applied research in medical, business, and behavioral sciences, modeling large data sets with the...
This work presents a novel method of exploring human brain-visual representations, with a view towards replicating these processes in machines. The co...
The prediction of human leukocyte antigen (HLA) class II binding peptides plays important roles in understanding the mechanism of immune recognition a...