Graft vs Host Disease - AI Medical Compendium

Editor's notes.

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis May 9, 2018

Photopheresis Infant Transfusion Reaction Adolescent Humans Young Adult Hematopoietic Stem Cells Child, Preschool Artificial Intelligence Adult Hyperbilirubinemia Female Child Male Graft vs Host Disease Erythrocyte Transfusion

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Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes.

Computers in biology and medicine Jun 1, 2025

In this study, we propose a conceptual framework of decision support tools, built upon machine learning and multi-objective optimization, aimed at offering a deeper understanding of the complex trade-offs involved in hematopoietic stem cell transplan...

Humans Machine Learning Graft vs Host Disease Hematopoietic Stem Cell Transplantation

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Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD).

Frontiers in immunology Jan 1, 2025

BACKGROUND: Acute intestinal graft-versus-host disease (AIGVHD) is a common complication of allogeneic hematopoietic stem cell transplantation (allo HSCT) with a high mortality rate. The primary aim of the present study is to identify tissue-based ge...

Gene Expression Profiling Mice Membrane Proteins Machine Learning Biomarkers Graft vs Host Disease Animals Hematopoietic Stem Cell Transplantation Disease Models, Animal Humans Intestinal Diseases Acute Disease Receptors, IgG Genetic Markers

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Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

Blood advances Dec 10, 2024

We investigated the impact of donor characteristics on outcomes in allogeneic hematopoietic cell transplantation (HCT) recipients using a novel machine learning approach, the Nonparametric Failure Time Bayesian Additive Regression Trees (NFT BART). N...

Machine Learning Female Aged Humans Middle Aged Adolescent Child, Preschool Young Adult Adult Male Unrelated Donors Hematopoietic Stem Cell Transplantation Transplantation, Homologous Child Donor Selection Treatment Outcome Graft vs Host Disease

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A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines.

Current pharmaceutical biotechnology Jan 1, 2021

Stem Cells (SCs) show a wide range of applications in the treatment of numerous diseases, including neurodegenerative diseases, diabetes, cardiovascular diseases, cancer, etc. SC related research has gained popularity owing to the unique characterist...

Stem Cell Transplantation Cell- and Tissue-Based Therapy Humans Artificial Intelligence Machine Learning Cardiovascular Diseases Models, Theoretical Graft vs Host Disease

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Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records.

JCO clinical cancer informatics Feb 1, 2020

PURPOSE: Acute graft-versus-host disease (aGVHD) remains a significant complication of allogeneic hematopoietic cell transplantation (HCT) and limits its broader application. The ability to predict grade II to IV aGVHD could potentially mitigate morb...

Machine Learning Hematopoietic Stem Cell Transplantation Biomarkers Transplantation, Homologous Prognosis Vital Signs Middle Aged Retrospective Studies Longitudinal Studies Infant Electronic Health Records Survival Rate Follow-Up Studies Aged Adolescent Female Hematologic Neoplasms Graft vs Host Disease Young Adult Child, Preschool Male Humans Adult Child ROC Curve

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Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.

Blood advances Nov 26, 2019

Acute graft-versus-host disease (aGVHD) is 1 of the critical complications that often occurs following allogeneic hematopoietic stem cell transplantation (HSCT). Thus far, various types of prediction scores have been created using statistical calcula...

Transplantation, Homologous Humans Hematologic Diseases Machine Learning Area Under Curve Reproducibility of Results Graft vs Host Disease Male Hematopoietic Stem Cell Transplantation Models, Theoretical Algorithms Prognosis Female

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AIMC Topic: Graft vs Host Disease

Editor's notes.

Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes.

Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD).

Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines.

Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records.

Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.

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AIMC Topic: Graft vs Host Disease

Editor's notes.

Establishment of a machine learning-based prediction framework to assess trade-offs in decisions that affect post-HCT outcomes.

Identification and validation of tissue-based gene biomarkers for acute intestinal graft-versus-host disease(AIGVHD).

Novel machine learning technique further clarifies unrelated donor selection to optimize transplantation outcomes.

A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines.

Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records.

Using a machine learning algorithm to predict acute graft-versus-host disease following allogeneic transplantation.

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