Latest AI and machine learning research in transplantation for healthcare professionals.
Because of the intense competition, table tennis requires players to bear a strong physiological loa...
BACKGROUND: Subacute thyroiditis (SAT) followed by Graves disease (GD) is a rare condition. We repor...
PURPOSE OF REVIEW: Robot-assisted kidney transplantation (RAKT) has the potential to combine the adv...
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...
PURPOSE: Organ-at-risk contouring is still a bottleneck in radiotherapy, with many deep learning met...
Living donation in many countries is the main resource of organs. Healthy, volunteering individuals ...
Heterochronic blood exchange (HBE) has demonstrated that circulating factors restore youthful featur...
Chronic kidney disease (CKD) is a major burden on the healthcare system because of its increasing pr...
In view of the growth of clinical risk prediction models using genetic data, there is an increasing ...
IMPORTANCE: Like other clinical biomarkers, trajectories of estimated glomerular filtration rate (eG...
Musical choreography is usually completed by professional choreographers, which is very professional...
Using a sensor in variable lighting conditions, especially very low-light conditions, requires the a...
Kynurenine (Kyn) is a key inducer of an immunosuppressive tumor microenvironment (TME). Although ind...
The current study extended the literature on social support by examining the differences in the word...
With robots being introduced into caregiving, particularly for older persons, various ethical concer...
BACKGROUND: Most existing algorithms have been focused on the segmentation from several public Liver...
Stem/progenitor cell transplantation is a potential novel therapeutic strategy to induce angiogenesi...
BACKGROUND: Itraconazole (ITZ) is an effective agent when used as primary invasive fungal disease (I...
The development of the effective diagnostic method for the determination of cancer biomarkers is one...
Machine learning has seen slow but steady uptake in diagnostic pathology over the past decade to ass...