Latest AI and machine learning research in kidney transplantation for healthcare professionals.
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...
BACKGROUND: Inadequate refilling from extravascular compartments during hemodialysis can lead to int...
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However,...
Maintenance hemodialysis is the main method for the treatment of end-stage renal disease in China. T...
Efforts at finding potential biomarkers of tolerance after kidney transplantation have been hindered...
We present a new coating procedure to prepare optical fibre sensors suitable for use with protein an...
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...
BACKGROUND AND OBJECTIVES: AKI treated with dialysis initiation is a common complication of coronavi...
Premature all-cause mortality is high in patients receiving peritoneal dialysis (PD). The accurate a...
BACKGROUND AND AIMS: Knowledge of the proper dry weight plays a critical role in the efficiency of d...
Therapeutic drug monitoring of mycophenolic acid (MPA) based on area under the curve (AUC) is well-e...
Fungi of the genus Aspergillus are ubiquitously distributed in nature, and some cause invasive asper...
To increase the robustness and control precision of a hydraulic quadruped robot and simultaneously e...
Myasthenia gravis (MG) is a chronic autoimmune disease of the nervous system, which is still incurab...
Multimodal retinal imaging plays an important role in ophthalmology. We propose a content-adaptive m...
Iris Recognition at-a Distance (IAAD) is a major challenge for researchers due to the defects associ...
Recurrent neural network (RNN), as a kind of neural network with outstanding computing capability, i...
Dry weight is the normal weight of hemodialysis patients after hemodialysis. If the amount of water ...