AIMC Topic: Allografts
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A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides.
Scientific reports
Mar 26, 2019
Pathologic diagnoses mainly depend on visual scoring by pathologists, a process that can be time-consuming, laborious, and susceptible to inter- and/or intra-observer variations. This study proposes a novel method to enhance pathologic scoring of ren...
Utilizing Machine Learning to Predict Liver Allograft Fibrosis by Leveraging Clinical and Imaging Data.
Clinical transplantation
Apr 1, 2025
BACKGROUND AND AIM: Liver transplant (LT) recipients may succumb to graft-related pathologies, contributing to graft fibrosis (GF). Current methods to diagnose GF are limited, ranging from procedural-related complications to low accuracy. With recent...
Using Natural Language Processing and Machine Learning to classify the status of kidney allograft in Electronic Medical Records written in Spanish.
PloS one
Jan 1, 2025
INTRODUCTION: Accurate identification of graft loss in Electronic Medical Records of kidney transplant recipients is essential but challenging due to inconsistent and not mandatory International Classification of Diseases (ICD) codes. We developed an...
[Effectiveness of unicompartment allografts replacement for bone tumor around the knee].
Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
Aug 15, 2017
OBJECTIVE: To analyze the effectiveness of unicompartment allografts replacement for reconstructing bone defect after bone tumor resection around knee.
Hyperbaric oxygen with cord blood transplants: Filling the donor gap.
The National medical journal of India
Jan 1, 2017
Aljitawi OS, Paul S, Ganguly A, Lin TL, Ganguly S, Vielhauer G, Capitano ML, Cantilena A, Lipe B, Mahnken JD, Wise A, Berry A, Singh AK, Shune L, Lominska C, Abhyankar S, Allin D, Laughlin M, McGuirk JP, Broxmeyer HE. (Division of Hematologic Maligna...
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