公开(公告)号：US20250157674A1

公开(公告)日：2025-05-15

申请号：US18821279

申请日：2024-08-30

Applicant: The University of Chicago

Inventor： Ishanu Chattopadhyay

IPC: G16H50/80 ,  G16B30/00

Abstract: Systems and methods are disclosed for predicting the rise of different strains of viruses. A method comprises reading a genetic sequence of a first strain of a virus; identifying a plurality of residue indices in the genetic sequence; for each of the plurality of indices, assigning a predictor, the predictor configured to predict a residue for its assigned index based upon a residue of at least one other index, the predictors thereby forming a network; and determining, based on the network of predictors, a probability of transition of the first strain to a second strain.

公开(公告)号：US20230411009A1

公开(公告)日：2023-12-21

申请号：US18337780

申请日：2023-06-20

Applicant: University of Chicago

Inventor： Ishanu Chattopadhyay ,  Dmytro Onishchenko

IPC: G16H50/20 ,  G16H10/60 ,  G16H50/30

CPC classification number: G16H50/20 ,  G16H70/60 ,  G16H50/30 ,  G16H10/60

Abstract: A method including receiving a plurality of electronic health records stored in a database and partitioning the plurality of electronic health records in a first set of plurality of electronic health records and a second set of plurality of health records is disclosed. The method includes, for each electronic health record of the first and second sets of the plurality of electronic health records, generating a plurality of data streams, and in accordance with the generated data streams corresponding to the respective group of related disorders, inferring probabilistic finite state automaton (PFSA) models corresponding to a positive cohort and a control cohort for a specific health condition. The method includes determining a respective sequence likelihood defect of an electronic health record data of a new patient to match one of the inferred PFSA models for determining a likelihood of the new patient to acquire the specific health condition.