MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202641008398 A) filed by Indian Institute Of Technology, Chennai, Tamil Nadu, on Jan. 28, for 'method and system for grey-box identification of a biological process.'
Inventor(s) include Karthik Raman; Arun Kumar Tangirala; and Prem Jagadeesan.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present subject matter discloses a method and a system for grey-box identification of a biological process. The method comprises defining a model with nonlinear model structures, a nominal parameter vector, and initial conditions for assessing structural identifiability, sloppiness and practical identifiability by performing conditional sloppiness analysis and parameter estimation, wherein the conditional sloppiness analysis comprises: generating noise-free reference outputs; dividing perturbation radius into equal segments and sampling parameter sets for each segment; computing prediction errors and sensitivity measure indices; and generating conditional sloppiness and sensitivity plots. The practical identifiability is assessed by estimating parameters using experimental time-series data to derive posterior parameter distributions. By integrated analysis, the method determines sources of uncertainty by identifying whether uncertainty originates from model structure or insufficient experimental data and recommends model refinement when structural sloppiness is detected or generating additional data when parameters remain unidentifiable."
Disclaimer: Curated by HT Syndication.
