MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133531 A) filed by Meenakshi Academy Of Higher Education And Research, Chennai, Tamil Nadu, on Dec. 30, 2025, for 'system and method for wearable health monitoring and early disease detection.'
Inventor(s) include Punitha VC; Shankar K; Jebin Sherley; and Uma S.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "System and Method for Wearable Health Monitoring and Early Disease Detection This present disclosure relates to a system and method for wearable health monitoring and clinically validated detection of disease progression, present disclosure provides an overview of all systems that include: The wearable sensor component; The processing component, the memory storage device and related computer program (Software); Sensor-Body interaction state validation prior to Physiological data processing; Validation of sensor-body interaction state prior to processing the physiological data through an analysis process and a causality framework for establishing validated relationships of causation/correlation between the physiological parameters being analyzed, allowing for inference of disease only in the presence of validated biological causality; Generating the disease detection output only when determined that the wearable device is in use as intended by the manufacturer and suppressing duplicate, erroneous, and false positives generated during use by non-validated wearable devices; A disease trajectory simulation mechanism enables early and controlled identification of disease progression based on validated use and condition of a wearable device allowing for earlier detection of disease through prolonged monitoring of individuals' health conditions; The disclosed method of detecting disease using wearable technology provides increased diagnostic accuracy, decreased instances of false positive alerts through the technical/biological limitations of conventional methods for detecting disease."
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