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Title:
MACHINE-LEARNING COMPUTER SYSTEMS AND METHODS FOR PREDICTING EFFICACY OF CHEMICAL AND BIOLOGICAL AGENTS FOR TREATING GASTROINTESTINAL CANCERS
Document Type and Number:
WIPO Patent Application WO/2024/006639
Kind Code:
A3
Abstract:
Machine learning system employs causal discovery methods to identify genes that cause colorectal cancer when affected by genomic alterations. Co-expression patterns among their target differentially expressed genes (DEGs) are discovered to construct a set of "metagenes," such that their expression values reflect the states of the cellular signaling system. Using the metagenes as features to represent tumors, a classification model is trained to predict whether the tumor cells of a patient are sensitive to chemotherapy and biological drugs.

Inventors:
LU XINGHUA (US)
CHEN LUJIA (US)
SUN MIN (US)
POGUE-GEILE KATHERINE (US)
Application Number:
PCT/US2023/068727
Publication Date:
February 08, 2024
Filing Date:
June 20, 2023
Export Citation:
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Assignee:
DEEP RX INC (US)
International Classes:
G16B25/10; G06N7/01; G06N20/00; G16B40/00; G16C20/70; G16H20/10
Domestic Patent References:
WO2021231713A22021-11-18
Foreign References:
US20210295979A12021-09-23
Other References:
LU XINGHUA, CHEN LUJIA, WANG YING, CAI CHUNHUI, KIM RIM S, LIPCHIK COREY, FUMAGALLI DEBORA, YOTHERS GREG, ALLEGRA CARMEN JOSEPH, P: "Testing of a machine learning (ML) model for ability to predict oxaliplatin and bevacizumab (bev) benefit in NRG Oncology/NSABP C-07 and C-08.", JOURNAL OF CLINICAL ONCOLOGY, AMERICAN SOCIETY OF CLINICAL ONCOLOGY, US, vol. 40, no. 16_suppl, 1 June 2022 (2022-06-01), US , pages 3607 - 3607, XP093137871, ISSN: 0732-183X, DOI: 10.1200/JCO.2022.40.16_suppl.3607
CHUNHUI CAI, GREGORY F. COOPER, KEVIN N. LU, XIAOJUN MA, SHUPING XU, ZHENLONG ZHAO, XUEER CHEN, YIFAN XUE, ADRIAN V. LEE, NATHAN C: "Systematic discovery of the functional impact of somatic genome alterations in individual tumors through tumor-specific causal inference", PLOS COMPUTATIONAL BIOLOGY, vol. 15, no. 7, pages e1007088, XP055633525, DOI: 10.1371/journal.pcbi.1007088
Attorney, Agent or Firm:
KNEDEISEN, Mark G. et al. (US)
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