MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202641043105 A) filed by Sr University, Warangal, Telangana, on April 4, for 'integrated decision support system for ai-driven biosensor based early cancer detection.'
Inventor(s) include Dr. Mamta Punjabi Anand; Dr. Sandip Bhattacharya; Dr. Rupali; Dr. Ratnalata Gupata; Dr. Dharmendra Choukse; and Dr. Sudip Bhattacharya.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "Integrated Decision Support System for AI-Driven Biosensor Based Early Cancer Detection ABSTRACT The invention presents an integrated decision support system for early cancer detection, combining advanced biosensor technologies with artificial intelligence (AI). The system uses wearable, nanomaterial-based biosensors and microfluidic lab-on-chip systems to monitor multiple cancer biomarkers in real time. Machine learning models, including deep learning and ensemble learning techniques, analyze the collected data, enabling accurate detection of cancer at its earliest stages. To enhance the robustness of the AI model, Generative Adversarial Networks (GANs) are employed for data augmentation, addressing the challenge of limited training datasets, particularly for rare cancers. The system also uses federated learning to ensure privacy-preserving collaboration across healthcare institutions, allowing secure data sharing without compromising patient confidentiality. Additionally, explainable AI (XAI) provides transparent, interpretable outputs, enabling clinicians to understand the reasoning behind diagnostic predictions. The system's scalable and non-invasive design makes it suitable for large-scale cancer screening, offering an affordable and accessible solution for both clinical and remote healthcare applications. By providing real-time monitoring and early diagnosis, this invention aims to improve patient outcomes through timely interventions, transforming the landscape of cancer detection and management while ensuring privacy and trust in AI-driven healthcare systems."
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