Latest AI and machine learning research in transplantation for healthcare professionals.
Acute activation of innate immune response in the brain, or neuroinflammation, protects this vital o...
This article focuses on the composite H synchronization problem for jumping reaction-diffusion neura...
The most limiting factor in heart transplantation is the lack of donor organs. With enhanced predict...
Thoracic disease detection from chest radiographs using deep learning methods has been an active are...
Perception and vehicle control remain major challenges in the autonomous driving domain. To find a p...
In assisted reproductive technology (ART), embryos produced by in vitro fertilization (IVF) are grad...
Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully...
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate can...
Recent deep learning frameworks draw strong research interest in application of ego-motion estimatio...
BACKGROUND: Persistent critical illness (PerCI) is an immunosuppressive status. The underlying patho...
PURPOSE: An inevitable feature of ultrasound-based diagnoses is that the quality of the ultrasound i...
BACKGROUND: An increasing number of transplant centers have adopted robot-assisted living donor neph...
Accurate segmentation of multiple tissues and organs in cardiac medical imaging is of great value in...
Bone marrow transplant (BMT) is an effective surgical treatment for bone marrow-related disorders. H...
The three horizons model is a framework that helps manage an organization's innovation strategy. Thi...
INTRODUCTION: The need for caregiver respite is well-documented for the care of persons with IDD. So...
Acute leukemia is a type of blood cancer with a high mortality rate. Current therapeutic methods inc...
Around 60-80% of radiological errors are attributed to overlooked abnormalities, the rate of which i...
Cryo-imaging provided 3D whole-mouse microscopic color anatomy and fluorescence images that enables ...
Liver fibrosis staging is clinically important for liver disease progression prediction. As the port...
PURPOSE: Training deep neural networks usually require a large number of human-annotated data. For o...