Application of Evolutionary Computation to Antibody Quantity Estimation in Virtual Crossmatching for Organ Transplantation

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Publication Details

Journal
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Published
2026-02-14
DOI
https://doi.org/10.3156/jsoft.38.1_547
Primary Topic
Renal Transplantation Outcomes and Treatments
Type
article
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article

Application of Evolutionary Computation to Antibody Quantity Estimation in Virtual Crossmatching for Organ Transplantation

Masahiro KANAZAKI, Daiki IWAMI
Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
Renal Transplantation Outcomes and Treatments
article

Application of Evolutionary Computation to Antibody Quantity Estimation in Virtual Crossmatching for Organ Transplantation

Masahiro KANAZAKI, Daiki IWAMI
article en

Abstract

No abstract available for this paper.
Journal of Japan Society for Fuzzy Theory and Intelligent InformaticsVol. 38(1)
Jichi Medical University (JP), Jichi Medical University Hospital (JP), Tokyo Metropolitan University (JP)
Openalex Percentile: Top 54%
Renal Transplantation Outcomes and Treatments
DOIOpen Access PDFOpenAlex
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Application of Evolutionary Computation to Antibody Quantity Estimation in Virtual Crossmatching for Organ Transplantation — Masahiro KANAZAKI, Daiki IWAMI · Journal of Japan Society for Fuzzy Theory and Intelligent Informatics (2026) | TGRS Research Map | TGRS