Latest AI and machine learning research in nephrology for healthcare professionals.
TM-2 known as a potential antitumor drug is a novel semi-synthetic taxane derivative. As drug-protei...
BACKGROUND: There is some evidence pointing toward better renal function in kidney transplant recipi...
Cancer is one of the most life-threatening diseases and mutations in several genes are the vital cau...
Polychlorinated biphenyls (PCBs), as typical environmental estrogen disruptors, are a structurally-r...
Heart disease is the leading cause of death globally and a significant part of the human population ...
Vitamin D deficiency is a common health problem in Saudi Arabia especially in children and adolescen...
As healthcare shifts from the hospital to the home, it is becoming increasingly important to underst...
AIMS/INTRODUCTION: Anemia has a close interaction with renal dysfunction in diabetes patients. More ...
Microalgae represent a potential sustainable alternative for the enhancement and protection of agric...
Functional iron deficiency (FID) incidence is gradually increasing in hemodialysis (HD) patients. Re...
AIM: To assess the role of simple enucleation (SE) for the treatment of highly complex renal tumors.
OBJECTIVE: Haemodialysis and peritoneal dialysis renal replacement treatment options are in clinical...
Bio-ontologies provide terminologies for the scientific community to describe biomedical entities in...
This paper shows an influence of chemical composition of used electrolyte, such as amount of sulphur...
Chronic Kidney Disease (CKD) anemia is one of the main common comorbidities in patients undergoing E...
Outcomes from 5Â years of treatment with agalsidase alfa enzyme replacement therapy (ERT) for Fabry d...
Systemic erythematosus lupus (SLE) is a multisystemic autoimmune disease which has nephritis as one ...
BACKGROUND: The diagnostic performance of biochemical scores and artificial neural network models fo...