MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202611024549 A) filed by Komal; Dr Sandeep Sharma; Dr Manisha Tyagi; Dr Poonam Jaglan; Mr Rajesh Kumar; Dr Sudhir Mahajan; Dr Pardeep Singla; and Dr Manoj Arora, Samalkha, Haryana, on March 2, for 'a hardware-implemented system and method for tumor detection using iot-based medical data acquisition and deep learning processing.'
Inventor(s) include Komal; Dr Sandeep Sharma; Dr Manisha Tyagi; Dr Poonam Jaglan; Mr Rajesh Kumar; Dr Sudhir Mahajan; Dr Pardeep Singla; and Dr Manoj Arora.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a hardware-implemented tumor detection system integrating IoT-based medical data acquisition with deep learning processing for automated diagnosis. The system comprises an IoT data acquisition module configured to collect medical imaging and physiological data, a secure communication module for encrypted transmission, a preprocessing engine, and a deep learning processing unit deployed on edge or cloud infrastructure. The deep learning unit performs tumor segmentation and classification using trained neural network architectures and generates probability scores and diagnostic outputs. An output module provides visual heatmaps, classification results, and alert notifications to authorized healthcare professionals. The system enables secure real-time data processing, reduced diagnostic latency through edge deployment, and improved detection reliability via multimodal data fusion. The invention provides a scalable and secure medical diagnostic framework suitable for hospital and remote healthcare environments."
Disclaimer: Curated by HT Syndication.
