Xenotherapeutics Corporation

Alexis Bio, Inc.

Kaitlyn Rogers

Paul W Holzer

Elizabeth J Chang

Jon Adkins

Rodney L Monroy

Travis Brown

Andrey Ptitsyn

A method for 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 provided. The method includes constructing a training data set from a series of libraries, wherein at least one library in the series of libraries comprises genomic, proteomic, and research data specific to non-humans. The method includes developing a predictive machine learning model based on the constructed training data set. The method includes utilizing the predictive machine learning model 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. The method includes selecting a subset of sequences for evaluation from the plurality of sequences based on the predicted quality or performance. The method includes designing candidate samples derived from the non-human donor using the selected subset of sequences. The method includes measuring a respective in silico performance of each designed candidate sample. The method includes selecting a designed candidate sample for manufacture based on the respective in silico performance of each designed candidate sample.

Selection and monitoring methods for xenotransplantation

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Madisonville, LA, United States of America

Kaitlyn Rogers