Related Experiment Video
Updated: Jun 19, 2026
11:27
Prediction of Red Blood Cell Antibody Significance Using the Monocyte-Macrophage Assay
Published on: February 7, 2025
IrregulAB: An open-source rule-based engine for automated red cell antibody panel interpretation
Davide Crucitti1,2, Violeta Vidal Ballester3, Jesús Gómez Fernández1
1Health Research Institute of Santiago de Compostela, Santiago de Compostela, Spain.
Transfusion
|June 18, 2026
Summary
IrregulAB is an open-source tool that aids in antibody identification during transfusion testing. It automates rule-based logic, improving accuracy and efficiency for immunohematology professionals.
Area of Science:
- Immunohematology
- Transfusion Medicine
- Clinical Laboratory Science
Background:
- Antibody identification in transfusion testing is manual and error-prone.
- Current software lacks transparency and adaptability.
- Delays and errors persist in antibody identification processes.
Purpose of the Study:
- To develop an open-source, rule-based decision-support tool for antibody identification.
- To improve transparency and verifiability in transfusion testing.
- To address limitations of existing commercial software.
Main Methods:
- Developed IrregulAB, an open-source web application encoding serologic decision rules.
- Implemented a two-stage approach: rule-based screening and minimal-set solving.
- Evaluated the system on 108 development and 35 validation antibody-identification panels.
Main Results:
- The screening stage successfully retained antibody sets in over 90% of panels.
- The minimal-set stage found valid antibody combinations in 87-89% of panels.
- Demonstrated high performance in retrospective analysis.
Conclusions:
- IrregulAB provides a transparent, rule-based decision-support system for immunohematology personnel.
- Enables independent verification, local tuning, and standardized review of antibody workups.
- Requires multicenter and multi-platform validation for clinical implementation.
