Latest AI and machine learning research in nephrology for healthcare professionals.
BACKGROUND: Medicine is becoming an increasingly data-centred discipline and, beyond classical stati...
OBJECTIVE: To evaluate the performance of quantitative computed tomography (CT) texture analysis usi...
BACKGROUND: Adverse Event (AE) ontology can be used to support interoperability and computer-assiste...
OBJECTIVE: To report the spectrum of ethambutol induced optic neuropathy in a group of renal patient...
The identification of compounds for dissecting biological functions and the development of novel dru...
BACKGROUND: The concept of a minimally invasive live donor nephrectomy developed over 20Â years ago. ...
BACKGROUND: Chronic kidney disease (CKD) patients experience a high symptom burden including fatigue...
OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcin...
Generation of uremic toxins p-cresylsulfate (p-CS), indoxyl sulfate (IS) and indole 3-acetic acid (I...
Small airway obstruction is a main cause for chronic obstructive pulmonary disease (COPD). We propos...
BACKGROUND: Kidney autotransplantation (KAT) is the ultimate way to salvage kidneys with complex ren...
The use of robotic techniques in laparoscopic donor nephrectomy currently tends to involve a longer ...
The success of unrelated donor stem cell transplants depends on not only finding genetically matched...
BACKGROUND: There is little information about quality of life (QoL) for patients with end-stage kidn...
In this paper, we propose a novel contour-seed pairs learning-based framework for robust and automat...
This paper proposes a noninvasive dual optical photoplethysmography (PPG) sensor to classify the deg...
Ab initio molecular orbital calculations were carried out to examine the redox potentials of 149 ele...