MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641083927 A) filed by Woxsen University on July 08, 2026, for Causal Inference-Driven Federated Maternal-Child Healthcare Intelligence System.
Inventors include Dr N Soujanya; Dr. Priya Pallavi; Ojaswini Dubey; and Palak Dwivedi.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: The present invention relates to a causal inference-driven maternal-child healthcare intelligence system (100) configured to model cross-generational biological risk transfer across maternal and child healthcare lifecycle stages. The system (100) comprises a Causal Biological Risk Transfer (CBRT) engine (102), a Privacy-Preserving Adaptive Federated Learning Network (PAFLN) module (104), a Community-Contextualized Predictive Personalization (CCPP) layer (106), a Counterfactual Intervention Recommendation Engine (CIRE) (108), a Generational Health Memory Architecture (GHMA) module (110), and an Explainable AI Interface for Frontline Health Workers (XAI-FHW) module (112). The system continuously updates maternal and child-health risk trajectories using distributed healthcare data, causal Bayesian inference, community-contextual signals, and privacy-preserving federated learning. The invention further generates personalized intervention pathways, counterfactual healthcare simulations, vernacular-language healthcare guidance, and longitudinal generational health intelligence for decentralized maternal and child healthcare ecosystems.
Disclaimer: Curated by HT Syndication.
