Latest AI and machine learning research in kidney transplantation for healthcare professionals.
BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency of 29% of deceased donor renal transplantation (DDRT). The use of kidneys from deceased elderly donors is increasing over the years. Currently, some authors consider that six months after the transplant, patients who have been transplanted from deceased donors have a longer survival than those who a...
In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world scenarios, artifact rejection is essential. However, currently there exists no gold-standard. Although a plenitude of methodological approaches implicitly assume the presence of latent processes in the signals, elaborate Blind-Source-Separation methods have rarely been applied. A reason are challenging charact...
BACKGROUND: Doppler ultrasound (DU) monitoring early after arteriovenous fistula (AVF) creation allows the identification of low blood flow (Qa) requi...
A machine learning-based methodology for the prediction of chemical reaction products, along with automated elucidation of mechanistic details via pha...
BACKGROUND AND OBJECTIVE: Patients with End- Stage Kidney Disease (ESKD) have a unique cardiovascular risk. This study aims at predicting, with a cert...
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early detection of acute renal transplant rejection. For no...
We previously reported a system for assessing rejection in kidney transplant biopsies using microarray-based gene expression data, the Molecular Micro...
In order to develop an equation that integrates multiple clinical factors including signs and symptoms associated with uraemia to assess the initiatio...
Pathologic diagnoses mainly depend on visual scoring by pathologists, a process that can be time-consuming, laborious, and susceptible to inter- and/o...
BACKGROUND: We previously reported a microarray-based diagnostic system for heart transplant endomyocardial biopsies (EMBs), using either 3-archetype ...
The purpose of this study was to compare the volume of fluid removal associated with and without 25% albumin administration in conjunction with hemod...
This paper investigates the synchronization issue for a family of time-delayed fractional-order complex dynamical networks (FCDNs) with time delay, un...
BACKGROUND: Therapeutic efficacy and toxicity of thiopurine drugs (used as anticancer and immunosuppressant agents) are affected by thiopurine S-methy...
Acute retroviral syndrome (ARS) can present as a wide array of clinical manifestations. Establishing a diagnosis early in the disease course can provi...
BACKGROUND: In transplant recipients, due to the use of immunosuppressive therapy, it is occasionally difficult to distinguish between an infection an...
PURPOSE: To describe an immunosuppressed patient who developed acute-onset postoperative endophthalmitis caused by a moxifloxacin-resistant strain of ...
BACKGROUND: Therapeutic drug monitoring of immunosuppressive drugs is imperative for organ transplant recipients. High-performance LC-MS/MS is conside...
This paper analyzes control methodologies to implement maneuvering and stabilization behaviors in a bipedal robot using a bioinspired robotic tail. Lo...
BACKGROUND: Although a preponderance of pre-clinical data demonstrates the immunosuppressive potential of mesenchymal stromal cells (MSCs), significan...
BACKGROUND: Fluid volume and blood pressure (BP) management are crucial endpoints for end-stage kidney disease patients. BP control in clinical practi...