公开(公告)号：US20240379192A1

公开(公告)日：2024-11-14

申请号：US18691489

申请日：2022-09-30

Applicant: ARIZONA BOARD OF REGENTS ON BEHALF OF ARIZONA STATE UNIVERSITY

Inventor： Neal W. Woodbury ,  Robayet Chowdhury ,  Alexander T. Taguchi

IPC: G16B40/00 ,  G16H50/20

Abstract: Systems and methods for using machine learning to improve disease diagnostics are provided. A method can include obtaining, using a peptide array, peptide sequence data and peptide binding values from one or more samples, wherein the peptide sequence data and the peptide binding values correspond to a plurality of conditions; for each of the one or more samples, normalizing the peptide binding values according to a median binding value of peptides associated with the peptide array; and training a regressor using dense compact representations of the peptide sequence data and peptide binding values. The method can further include providing an output of the regressor to a classifier, wherein the classifier is configured to determine whether the patient has one of the plurality of conditions based on the output of the regressor.