Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Tissue Transplantation

Tissue Transplantation

Tissue transplantation is a significant medical procedure involving the transfer of cells, tissues, or organs from a donor to a recipient, with the primary aim of restoring lost functions. This procedure is crucial in treating a broad spectrum of diseases, including kidney diseases, liver failure, heart disease, and certain types of cancers.
The Biology of Tissue Transplantation
The biology of tissue transplantation hinges on the Major Histocompatibility Complex (MHC) molecules. These molecules...

Bone Marrow Sampling and Transplants

Bone Marrow Sampling and Transplants

Bone marrow transplant is a potential cure for several diseases, including cancer and specific genetic disorders. Notably, this procedure is applicable for patients suffering from aplastic anemia, certain types of leukemia, severe combined immunodeficiency disease (SCID), Hodgkin's disease, non-Hodgkin's lymphoma, multiple myeloma, thalassemia, sickle-cell disease, and certain cancers.
The transplant begins with high doses of chemotherapy and radiation treatment, which aim to destroy...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Palladium-Catalyzed Cascade Annulation/Allylation of Alkynyl Oxime Ethers with Allyl Halides: Rapid Access to Fully Substituted Isoxazoles.

The Journal of organic chemistry·2019

Same author

Identification of crucial genes based on expression profiles of hepatocellular carcinomas by bioinformatics analysis.

PeerJ·2019

Same author

Three novel trehalase genes from <i>Harmonia axyridis</i> (Coleoptera: Coccinellidae): cloning and regulation in response to rapid cold and re-warming.

3 Biotech·2019

Same author

A new approach of electrochemical etching fabrication based on drop-off-delay control.

The Review of scientific instruments·2019

Same author

Correction: An organic-base catalyzed asymmetric 1,4-addition of tritylthiol to in situ generated aza-o-quinone methides at the H<sub>2</sub>O/DCM interface.

Chemical communications (Cambridge, England)·2019

Same author

Simple Is Best: A <i>p</i>-Phenylene Bridging Methoxydiphenylamine-Substituted Carbazole Hole Transporter for High-Performance Perovskite Solar Cells.

ACS applied materials & interfaces·2019

Search research articles

Related Experiment Video

Updated: Jun 24, 2025

Porcine Liver Transplantation Without Veno-Venous Bypass As an Extended Criteria Donor Model

Porcine Liver Transplantation Without Veno-Venous Bypass As an Extended Criteria Donor Model

Published on: August 17, 2022

FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation.

Can Li¹, Dejian Lai¹, Xiaoqian Jiang²

¹Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science

|June 3, 2024

Summary

We developed the Fairness through Equitable Rate of Improvement (FERI) algorithm to ensure fair predictions for liver transplant graft failure. FERI improves fairness across patient subgroups without compromising predictive accuracy.

More Related Videos

Study of Experimental Organ Donation Models for Lung Transplantation

Study of Experimental Organ Donation Models for Lung Transplantation

Published on: March 15, 2024

Competitive Transplants to Evaluate Hematopoietic Stem Cell Fitness

Competitive Transplants to Evaluate Hematopoietic Stem Cell Fitness

Published on: August 31, 2016

Related Experiment Videos

Last Updated: Jun 24, 2025

Porcine Liver Transplantation Without Veno-Venous Bypass As an Extended Criteria Donor Model

Porcine Liver Transplantation Without Veno-Venous Bypass As an Extended Criteria Donor Model

Published on: August 17, 2022

Study of Experimental Organ Donation Models for Lung Transplantation

Study of Experimental Organ Donation Models for Lung Transplantation

Published on: March 15, 2024

Competitive Transplants to Evaluate Hematopoietic Stem Cell Fitness

Competitive Transplants to Evaluate Hematopoietic Stem Cell Fitness

Published on: August 31, 2016

Area of Science:

Medical Informatics
Machine Learning
Transplantation Medicine

Background:

Liver transplantation outcomes are affected by fairness challenges across demographic subgroups.
Machine learning models can introduce or exacerbate biases in predicting transplant outcomes.

Purpose of the Study:

To introduce the Fairness through Equitable Rate of Improvement (FERI) algorithm for fair prediction of graft failure risk in liver transplant patients.
To address biases in machine learning models used in healthcare.

Main Methods:

Developed the FERI algorithm, a multitask learning approach.
FERI constrains subgroup loss by balancing learning rates and preventing subgroup dominance.
Evaluated predictive accuracy using AUROC and AUPRC.

Main Results:

FERI maintained high predictive accuracy comparable to baseline models.
FERI significantly improved fairness metrics without sacrificing accuracy.
Reduced demographic parity disparity by 71.74% for gender and equalized odds disparity by 40.46% for age group.

Conclusions:

The FERI algorithm advances fairness-aware predictive modeling in healthcare.
FERI offers a valuable tool for developing more equitable healthcare systems.
Fairness in AI for transplantation is achievable without compromising clinical utility.