Latest AI and machine learning research in heart transplantation for healthcare professionals.
In this article, a novel disturbance observer-based adaptive neural control (ANC) scheme is proposed...
BACKGROUND: Prostate cancer (PCa) has increased as a long-term outcome of advanced immunosuppression...
Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...
The health status and cognition of undergraduates, especially the scientific concept of healthcare, ...
Hand gesture recognition with surface electromyography (sEMG) is indispensable for Muscle-Gesture-Co...
A pivotal topic in agriculture and food monitoring is the assessment of the quality and ripeness of ...
Multi-modal retinal image registration plays an important role in the ophthalmological diagnosis pro...
Polymeric membrane design is a multidimensional process involving selection of membrane materials an...
BACKGROUND: Supervised classification methods have been used for many years for feature selection in...
Classically described in renal allografts, BK virus nephropathy is increasingly recognized in native...
Kynurenine (Kyn) is a key inducer of an immunosuppressive tumor microenvironment (TME). Although ind...
Machine learning has seen slow but steady uptake in diagnostic pathology over the past decade to ass...
Reliable tools for artefact rejection and signal classification are a must for cosmic ray detection ...
BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to ...
Machine learning and artificial intelligence (AI) algorithms hold significant promise for addressing...
Tumors are dynamic ecosystems comprising localized niches (microdomains), possessing distinct compos...
Inflammatory bowel diseases (IBD), namely Crohn's disease (CD) and ulcerative colitis (UC) are chron...
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...
Advances in systems immunology, such as new biomarkers, offer the potential for highly personalized ...
Uterus transplantation is a non-lifesaving vascularized composite allotransplantation procedure requ...
We developed a method to apply artificial neural networks (ANNs) for predicting time-series pharmaco...