Latest AI and machine learning research in transplantation for healthcare professionals.
Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts l...
This study aims to enhance the dosimetry accuracy in I planar imaging by utilizing a single oblique ...
Evaluating tone pronunciation is essential for helping second-language (L2) learners master the intr...
Tactile sensors utilizing functional materials decode surface textures for object recognition. Herei...
Robotics entered the cardiovascular field in the late 1990s with a robot-assisted coronary artery by...
Kidney transplantation is the optimal treatment for end-stage renal disease (ESRD), but acute reject...
This study employs machine learning (ML) to assess the predictive power of electronic descriptors de...
In this study, a control algorithm that integrates a Deep Neural Network (DNN) adaptive control arch...
Haematopoietic stem cell transplantation (HSC-T) has been established as a fundamental therapeutic i...
Kidney transplantation (KT) is an effective treatment for end-stage renal disease; however, the life...
BACKGROUND AND OBJECTIVES: Multiple sclerosis (MS) is an immune-mediated demyelinating disease of th...
The early diagnosis of okra leaf diseases is crucial for maintaining crop health and ensuring high a...
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide, with a poor pro...
Raman spectroscopy provides comprehensive biochemical information on a sample's composition, yet it ...
Folic acid plays a crucial role in cellular regulation and metabolism, commonly included in dietary ...
Cardiovascular diseases are a leading cause of mortality, with limited possibilities for transplanta...
The prevention of counterfeiting and the assurance of object authenticity require stochastic encodin...
Delineation of multiple organs in murine µCT images is crucial for preclinical studies but requires ...
Mesenchymal stromal cells (MSCs) exhibit significant immunomodulatory potential, making them promisi...
We present a panel of virtual staining neural networks for lung and heart transplant biopsies, prov...
Digital pathology is an emerging field that is gaining popularity due to its numerous advantages ove...