5 results about "Transplant Donors" patented technology

Method and systems for sorting potential hematopoietic stem cell transplant (HSCT) donors as a donor or non-donor using immunophenotyping of blood samples. The methods and systems can be used to identify a donor for a HSCT or to choose a donor to generate a HSCT blood product that is not likely to result in bad outcomes for a recipient. Also provided herein are methods and systems for training machine learning models that can be used in methods and systems for sorting potential HSCT donors.

Disclosed are compositions and methods for preventing graft versus host disease (GVHD) or allograft rejection in subjects receiving donor cells. Also disclosed are methods enhancing regulatory T (Treg) cells for use in preventing GVHD. Also disclosed are methods of suppressing alloreactive donor cells in a subject receiving transplant donor cells that involves adoptive transfer of the treated Treg cells. Also disclosed are enhanced Treg cells produced by the disclosed methods that have been engineered to express chimeric antigen receptor (CAR) polypeptide cells.

Systems and methods are described herein for processing electronic medical images to predict one or more donor recipients for a patient. For example, a digital medical image of the patient may be received, wherein the patient is in need of a transplant. A trained machine learning system may be determined. The digital medical image may be provided into the trained machine learning system, the trained machine learning system determining a patient embedding. Using the patient embedding, a subset of donor recipients may be determined. Based on the subset of donor recipients a recommendation of optimal donors may be determined.

The present disclosure relates to the identification of single nucleotide polymorphisms (SNPs) in the Gamma genomic block in the central region of the major histocompatibility complex (MHC) that can be used for matching transplant donors and recipients and determining disease susceptibility.

Method and systems for sorting potential hematopoietic stem cell transplant (HSCT) donors as a donor or non-donor using immunophenotyping of blood samples. The methods and systems can be used to identify a donor for a HSCT or to choose a donor to generate a HSCT blood product that is not likely to result in bad outcomes for a recipient. Also provided herein are methods and systems for training machine learning models that can be used in methods and systems for sorting potential HSCT donors.