Latest AI and machine learning research in transplantation for healthcare professionals.
Neoantigens play important roles in cancer immunotherapy. Current methods used for neoantigen predic...
BACKGROUND/OBJECTIVES: Although much has been learnt regarding pregnancy after liver transplantation...
A mechanism to predict graft failure before the actual kidney transplantation occurs is crucial to ...
PURPOSE: Three-dimensional (3D) printing allows for the fabrication of medical devices with complex ...
INTRODUCTION: To enlarge the donor pool, kidney donors with obesity have been considered. We hypothe...
Hand loss is a catastrophic event that generates significant demands for orthopedics and prosthetics...
OBJECTIVES: Opioid-free anaesthesia is a treatment strategy of pain management based on the use of d...
BACKGROUND AND PURPOSE: Manual contouring is labor intensive, and subject to variations in operator ...
In the existing patency prediction model of coronary artery bypass grafting (CABG), the characterist...
: There is growing emphasis on the development of bioinspired and biohybrid micro/nanorobots for the...
OBJECTIVE: To comparatively evaluate a range of Natural Language Processing (NLP) approaches for Inf...
Typical analyses of mass spectrometry data only identify amino acid sequences that exist in referenc...
Fast identification of microbial species in clinical samples is essential to provide an appropriate ...
An important aspect of robotic radiation therapy is active compensation of target motion. Recently, ...
OBJECTIVES: Transplant nephrectomy is a technically challenging procedure with high complication rat...
Convolutional neural networks (CNNs) have recently led to significant advances in automatic segmenta...
Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and ...
INTRODUCTION: Machine learning has been increasingly used to develop predictive models to diagnose d...
This paper introduces a deep neural network based method, i.e., DeepOrganNet, to generate and visual...
One of the main problems of the decellularization technique is the subjectivity of the final evaluat...
Picture fuzzy sets (PFSs) are comparatively a new extension of fuzzy sets which describe the human o...