AIMC Topic: Transplantation, Homologous

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Machine Learning Classification Algorithms to Predict aGvHD following Allo-HSCT: A Systematic Review.

Methods of information in medicine Apr 29, 2020
BACKGROUND:  The acute graft-versus-host disease (aGvHD) is the most important cause of mortality in patients receiving allogeneic hematopoietic stem cell transplantation. Given that it occurs at the stage of severe tissue damage, its diagnosis is la...
Hematopoietic Stem Cell Transplantation Humans Transplantation, Homologous Machine Learning Algorithms Graft vs Host Disease Information Storage and Retrieval
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Patient-based prediction algorithm of relapse after allo-HSCT for acute Leukemia and its usefulness in the decision-making process using a machine learning approach.

Cancer medicine Jul 15, 2019
Although allogeneic hematopoietic stem cell transplantation (allo-HSCT) is a curative therapy for high-risk acute leukemia (AL), some patients still relapse. Since patients simultaneously have many prognostic factors, difficulties are associated with...
Transplantation, Homologous Patient Participation Young Adult Adult Models, Theoretical Humans Treatment Outcome Leukemia, Myeloid, Acute Machine Learning Decision Trees Algorithms Male Survival Analysis Prognosis Middle Aged Disease Management Clinical Decision-Making Hematopoietic Stem Cell Transplantation Female
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Renal Function Impairment in Kidney Transplantation: Importance of Early BK Virus Detection.

Transplantation proceedings Dec 30, 2018
BACKGROUND: BK virus allograft nephropathy is a major complication of kidney transplantation that markedly reduces graft survival (50% graft failure 24 months after being diagnosed). BK virus replication can occur at any time posttransplantation. Vir...
Polyomavirus Infections Tumor Virus Infections Humans Adult Kidney Diseases Kidney Transplantation Male Viremia Female Middle Aged Immunocompromised Host Graft Survival Early Diagnosis DNA, Viral Transplantation, Homologous BK Virus
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Machine learning reveals chronic graft--host disease phenotypes and stratifies survival after stem cell transplant for hematologic malignancies.

Haematologica Sep 20, 2018
The application of machine learning in medicine has been productive in multiple fields, but has not previously been applied to analyze the complexity of organ involvement by chronic graft--host disease. Chronic graft--host disease is classified by an...
Humans Machine Learning Prospective Studies Biomarkers Female Adult Hematologic Neoplasms Male Middle Aged Consensus United States Chronic Disease Graft vs Host Disease Hematopoietic Stem Cell Transplantation Transplantation, Homologous National Institutes of Health (U.S.)
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Prediction of Allogeneic Hematopoietic Stem-Cell Transplantation Mortality 100 Days After Transplantation Using a Machine Learning Algorithm: A European Group for Blood and Marrow Transplantation Acute Leukemia Working Party Retrospective Data Mining Study.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology Aug 3, 2015
PURPOSE: Allogeneic hematopoietic stem-cell transplantation (HSCT) is potentially curative for acute leukemia (AL), but carries considerable risk. Machine learning algorithms, which are part of the data mining (DM) approach, may serve for transplanta...
Data Mining Hematopoietic Stem Cell Transplantation Transplantation, Homologous Precursor Cell Lymphoblastic Leukemia-Lymphoma Kaplan-Meier Estimate Decision Trees Predictive Value of Tests Area Under Curve Registries Disease-Free Survival Decision Support Techniques Retrospective Studies Disease Progression Female Leukemia, Myeloid, Acute Time Factors Reproducibility of Results Male Humans ROC Curve Risk Factors Middle Aged Machine Learning Logistic Models Adult Risk Assessment Algorithms Treatment Outcome Postoperative Complications Europe
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Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704.

Blood advances Jul 8, 2025
Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for older adults with hematologic malignancies. Concerns on nonrelapse mortality (NRM) in older adults limit allo-HCT utilization. We executed a prospective, observation...
Humans Prospective Studies Middle Aged Risk Assessment Transplant Recipients Female Hematopoietic Stem Cell Transplantation Aged Transplantation, Homologous Aged, 80 and over Bone Marrow Transplantation Hematologic Neoplasms Male
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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...
Hematopoietic Stem Cell Transplantation Humans Transplantation, Homologous Machine Learning Donor Selection Adolescent Female Unrelated Donors Child, Preschool Aged Child Young Adult Treatment Outcome Adult Graft vs Host Disease Male Middle Aged
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Transplant nephropathology: Wherefrom, wherein, and whereto.

Clinical transplantation Apr 1, 2024
Renal pathology is a relatively recent entry in nephrology. While diseases of the kidney are old, their study began in the 19th century with the report of Richard Bright of the lesions of end-stage kidney disease. Its easy diagnosis from albuminuria ...
Transplantation, Homologous Transplants Transplantation, Heterologous Humans Artificial Intelligence Kidney
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Interactive Web Application for Plotting Personalized Prognosis Prediction Curves in Allogeneic Hematopoietic Cell Transplantation Using Machine Learning.

Transplantation May 1, 2021
BACKGROUND: Allogeneic hematopoietic cell transplantation (allo-HCT) is a curative treatment option for malignant hematological disorders. Transplant clinicians estimate patient-specific prognosis empirically in clinical practice based on previous st...
Humans Machine Learning Decision Support Techniques Retrospective Studies Female Middle Aged Risk Assessment Disease Progression Adolescent Time Factors Predictive Value of Tests Risk Factors Aged Young Adult Adult Male Recurrence Cause of Death Computer Graphics Internet Progression-Free Survival Hematopoietic Stem Cell Transplantation Transplantation, Homologous
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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...
Vital Signs Longitudinal Studies Follow-Up Studies Graft vs Host Disease Hematopoietic Stem Cell Transplantation Transplantation, Homologous Young Adult Adult Survival Rate Hematologic Neoplasms Male Middle Aged Infant Adolescent Child, Preschool Child ROC Curve Prognosis Retrospective Studies Electronic Health Records Female Aged Humans Machine Learning Biomarkers
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