MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641030823 A) filed by Praneetha Surapaneni on March 14, 2026, for Luna: A Blockchain-Based Women’s Health Platform With Ai-Based Pcod/Pcos Detection And Decentralized Consent Management.
Inventors include Athmakuri Satish Kumar; V. Mahitha Chowdary; Ponduru Komali; Sriramulu Bojjagani; S. Shanmugan; Mokkapati Ragini; and G. N. Sowjanya.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Women’s health data is sensitive. If it is not handled carefully, trust collapses. Without trust, early diagnosis and meaningful analysis are impossible. This work proposes a decentralized wellness platform that combines blockchain and AI to protect data while supporting early detection of PCOD and PCOS. The system uses a hybrid blockchain model. A permissioned network manages clinical interactions efficiently. A public ledger records consent proofs and audit logs. Raw health data never goes on-chain. Only cryptographic proofs do. Privacy is enforced at multiple levels. Data is encrypted before storage. Proxy re-encryption allows secure sharing without exposing plaintext. Attribute-based encryption restricts access by role. Threshold cryptography distributes key control. Zero-knowledge verification allows proof without disclosure. Encrypted computation techniques allow limited analysis without decryption. The AI module analyzes menstrual patterns, hormone levels, ultrasound results, metabolic markers, and clinical symptoms. Training is done using federated learning, so raw patient data stays local. Model updates are aggregated securely. Ensemble methods improve prediction stability and reduce model bias. The output is a structured risk classification with interpretable indicators. Consent is handled through smart contracts. Access is purpose-specific and time-bound. Users can grant, modify, or revoke permissions at any time. Emergency access requires predefined authorization logic and is permanently logged. Key management uses threshold sharing. No single party controls recovery. Social recovery mechanisms reduce permanent lockout risk. Hardware-backed security can be integrated for stronger protection. The goal is simple. Give patients control. Protect sensitive data. Enable research and diagnosis without centralizing trust.
Disclaimer: Curated by HT Syndication.
