METHOD, SYSTEM, AND PRODUCT FOR REFINING AN ARTIFICIAL INTELLIGENCE MODEL FOR PREDICTING XENOTRANSPLANTATION COMPATABILITY
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United States of America Patent
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Issued Date -
Aug 31, 2023
app pub date -
Nov 30, 2022
filing date -
Jun 3, 2020
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Abstract
Predictive engineering of a sample derived from a genetically optimized non-human donor suitable for xenotransplantation into a human having improved quality or performance is described. A training data set is constructed from a series of libraries, including at least one library comprising genomic, proteomic, and research data specific to non-humans. A predictive machine learning model is developed based on the constructed training data set and utilized to obtain a predicted quality or performance of a plurality of sequences for a candidate sample from the non-human donor specific to a human patient or patient population. A subset of sequences is selected for evaluation from the plurality of sequences based on the predicted quality or performance and candidate samples are designed derived from the non-human donor using the selected subset of sequences.
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