Latest AI and machine learning research in transplantation for healthcare professionals.
BACKGROUND: Kidney transplantation should improve abnormalities that are common during dialysis trea...
Artificial agents are becoming prevalent across human life domains. However, the neural mechanisms u...
A significant threat to the recent, wide deployment of machine learning-based systems, including dee...
BACKGROUND: In Mexico, out of the total number of transplants it was reported, in 2014, a frequency ...
INTRODUCTION: Peripheral nerve injury is one of the most common damages that lead to physical disabi...
Heart failure is a progressive chronic condition in which the heart undergoes detrimental changes in...
In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world scenarios, ...
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-...
Inverse treatment planning in radiation therapy is formulated as solving optimization problems. The ...
A machine learning-based methodology for the prediction of chemical reaction products, along with au...
The objective of the study was to establish the compatibility of injectable meropenem with 101 othe...
Biosensors are analytical devices which find extensive applications in fields such as the food indus...
Accurate and robust segmentation of abdominal organs on CT is essential for many clinical applicatio...
Recent developments in high-resolution mass spectrometry (HRMS) technology enabled ultrasensitive de...
This paper introduces a deep-learning based computer-aided diagnostic (CAD) system for the early det...
We previously reported a system for assessing rejection in kidney transplant biopsies using microarr...
OBJECTIVES: Survival after liver transplant depends on pretransplant, peritransplant, and posttransp...
Myasthenia gravis (MG) is an autoimmune disease. In recent years, considerable evidence has indicate...
Basic functions of living organisms are governed by the nervous system through bidirectional signals...
Pathologic diagnoses mainly depend on visual scoring by pathologists, a process that can be time-con...
Accurate segmentation of the prostate and organs at risk (e.g., bladder and rectum) in CT images is ...