AI Medical Compendium Journal:
Chronic diseases and translational medicine

Showing 1 to 3 of 3 articles

A novel method to rapidly calculate the urea clearance index and urea reduction rate based on parameters obtained during hemodialysis.

Chronic diseases and translational medicine
BACKGROUND: The efficacy of hemodialysis (HD) is closely associated with patient survival time and quality of life. The classical method (CLM) to calculate the urea clearance index (Kt/V) and urea reduction rate (URR) requires multiple blood tests. A...

Mesenchymal stem cell conditioned medium ameliorates diabetic serum-induced insulin resistance in 3T3-L1 cells.

Chronic diseases and translational medicine
BACKGROUND: Pharmacological factors used to induce insulin resistance (IR) in models may not mimic the full features of type 2 diabetes mellitus (T2DM). This study aimed to examine the ability of diabetic serum (DS) to induce IR and investigate whe...

Artificial intelligence: Neural network model as the multidisciplinary team member in clinical decision support to avoid medical mistakes.

Chronic diseases and translational medicine
OBJECTIVE: The continuous uninterrupted feedback system is the essential part of any well-organized system. We propose aLYNX concept that is a possibility to use an artificial intelligence algorithm or a neural network model in decision-making system...