MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202647094197 A) filed by Covera Health on August 04, 2026, for Identification Of Direct Effect Modifiers (dem) Using Iterative Orthogonal Regression (ior) For Heterogeneous Effect Assessment.
Inventors include Belmonte, James, A.; Andric, Nikola; Mckenna, Ryan, M.; Odry, Benjamin, L.; and Vianu, Ron.
The application for the patent was published on August 07, 2026, under issue no. 32/2026.
Abstract: A process for determining direct effect modifiers (DEMs) for an exposure of interest can include determining pre-treatment variables corresponding to characteristics of different subsets of an observed population for the exposure of interest, each individual of the observed population having a respective exposure to the exposure of interest and a corresponding outcome. A predicted conditional average treatment effect (CATE) can be determined for the exposure of interest on the observed population. Each variable in a matrix of covariates selected from the pre-treatment variables can be orthogonalized to the remaining covariates. Regression can be performed on the predicted CATE to determine additional residuals for each pre-treatment variable. Variables with additional residuals significantly associated with CATE are inferred to be DEMs.
Disclaimer: Curated by HT Syndication.
