MUMBAI, India, Jan. 23 -- Intellectual Property India has published a patent application (202641001907 A) filed by Sayanti Mukherjee; Ravi Singh; and Suseta Datta, Asansol, West Bengal, on Jan. 7, for 'a deep learning based early disease prediction system using multimodal medical data.'
Inventor(s) include Sayanti Mukherjee; Ravi Singh; and Suseta Datta.
The application for the patent was published on Jan. 23, under issue no. 04/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a deep learning based early disease prediction system using multimodal medical data for accurate, timely, and personalized healthcare decision-making. The system integrates heterogeneous medical data sources including clinical records, medical imaging, laboratory reports, physiological sensor data, and patient-generated health data. Advanced deep learning architectures such as convolutional neural networks, recurrent neural networks, attention mechanisms, and multimodal fusion networks are employed to extract latent representations and predict disease risk at an early stage. The invention enables improved diagnostic accuracy, early intervention, and continuous learning through feedback mechanisms, thereby reducing healthcare costs and improving patient outcomes."
Disclaimer: Curated by HT Syndication.
