MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641115590 A) filed by Dr. Moby Saira Luke; Dr. Ajay Kumar Prajapati; Dr. Revathy. D. R; Dr. Jyotsana Singh; and Dr. Gaurav Verma on September 26, 2026, for Ai Assisted Early Disease Prediction System.
Inventors include Dr. Moby Saira Luke; Dr. Ajay Kumar Prajapati; Dr. Revathy. D. R; Dr. Jyotsana Singh; and Dr. Gaurav Verma.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: AI ASSISTED EARLY DISEASE PREDICTION SYSTEM ABSTRACT The invention relates to an AI-assisted early disease prediction system designed to identify potential health risks before the appearance of severe symptoms. The system collects and analyzes multimodal patient data, including medical history, vital signs, laboratory results, lifestyle information, genetic indicators, imaging records, and data from wearable devices. Advanced machine-learning models process these inputs to detect hidden patterns, compare risk factors, and generate disease-specific probability scores. A dynamic learning module continuously improves prediction accuracy using validated clinical outcomes and updated datasets. The system also provides explainable results by highlighting the major factors contributing to each prediction, thereby supporting informed decisions by healthcare professionals. When a significant risk is detected, the system issues timely alerts and recommends further screening, monitoring, or preventive intervention. Privacy-preserving mechanisms, secure data storage, and controlled access protect sensitive patient information. The invention may be deployed in hospitals, clinics, telemedicine platforms, and remote healthcare environments. By enabling personalized, rapid, and data-driven risk assessment, the system supports early diagnosis, reduces treatment delays, improves resource utilization, and enhances preventive healthcare outcomes across diverse populations and changing clinical conditions worldwide.
Disclaimer: Curated by HT Syndication.