MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611058309 A) filed by Sharda University on May 07, 2026, for System And Method For Predicting Patient-Specific Drug Sensitivity And Resistance In Acute Lymphoblastic Leukemia.
Inventors include Goswami, Bhuwan; Chauhan, Ayush; and Kumar, Kapil.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: The present disclosure relates to a system (100) includes a data acquisition module (102) configured to collect patient-specific molecular data including gene mutation data, gene expression profiles, and copy number variation data from genomic profiling platforms and pharmacogenomic databases. A data preprocessing and encoding module (104) transforms the collected data into machine-readable numerical representations. A multi-omics feature integration module (106) combines encoded data into a unified feature vector. An artificial intelligence-based predictive modeling module (108) processes the feature vector using trained machine learning models to predict drug response. A drug sensitivity scoring module (110) generates quantitative scores and classifies therapeutic agents. A model interpretability module (112) identifies key genomic contributors. A clinical decision support output module (114) generates structured outputs including ranked drugs, sensitivity scores, and decision-support insights for personalized treatment planning.
Disclaimer: Curated by HT Syndication.
