MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202611088075 A) filed by Ashley Rujeko Saunyama; Shweta Choudhary; Dr. Navjyot Santilal Trivedi; Dr. Deepika Kapoor; Rajesh Prasad Jayaswal; and Dr. Mulavagili Vijaya Simha on July 19, 2026, for Artificial Intelligence Platform For Predictive Candidemia Diagnosis And Stewardship.
Inventors include Ashley Rujeko Saunyama; Shweta Choudhary; Dr. Navjyot Santilal Trivedi; Dr. Deepika Kapoor; Rajesh Prasad Jayaswal; and Dr. Mulavagili Vijaya Simha.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The present invention discloses an artificial intelligence-driven adaptive candidemia intelligence platform configured to predict bloodstream Candida infections prior to conventional laboratory confirmation by integrating multimodal clinical, laboratory, microbiological, molecular, therapeutic, environmental, epidemiological, and physiological data. The platform employs machine learning, deep learning, Bayesian inference, federated learning, explainable artificial intelligence, and digital twin simulation to estimate candidemia probability, Candida species, antifungal susceptibility, resistance characteristics, infection source, treatment response, mortality risk, and outbreak progression. The platform further generates personalized antifungal therapy recommendations, hospital surveillance intelligence, and real-time clinical decision support while continuously improving predictive performance through privacy-preserving adaptive learning across distributed healthcare environments.
Disclaimer: Curated by HT Syndication.
