MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202541129906 A) filed by M. Presitha Aarthi; U. R. Rhavi; G. Harini; V. Keerthika; M. Arthi; E. Abayamoorthi; S. Abirami; P. Akash Rafic; V. Abirami; and R. Anbuselvan, Salem, Tamil Nadu, on Dec. 22, 2025, for 'deep multimodal diagnostic system using hybrid medical imaging and bio-signal fusion for early disease prediction.'
Inventor(s) include M. Presitha Aarthi; U. R. Rhavi; G. Harini; V. Keerthika; M. Arthi; E. Abayamoorthi; S. Abirami; P. Akash Rafic; V. Abirami; and R. Anbuselvan.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "Early detection of diseases plays a crucial .role in improving patient outcomes and reducing healthcare costs. Conventional diagnostic systems often rely on a single modality such as medical imaging or physiological signals, which limits diagnostic accuracy due to incomplete clinical information. Many early-stage diseases exhibit subtle patterns that cannot be reliably detected using unimodal diagnostic approaches. The present invention proposes a Deep Multimodal Diagnostic System using Hybrid Medical Imaging and Bio-Signal Fusion for Early Disease Prediction. The system integrates heterogeneous medical imaging modalities such as X-ray, MRI, CT, ultrasound, or thermal imaging with bio-signals including ECG, EEG, EMG, blood oxygen saturation, and heart rate variability. A deep learning-based multimodal fusion framework combines spatial imaging features and temporal bio-signal features to generate accurate early disease predictions. The invention enables robust, non-invasive, and intelligent diagnosis for clinical decision support and preventive healthcare."
Disclaimer: Curated by HT Syndication.
