MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049776 A) filed by Greeshma K V, Chalakudy, Kerala, on April 19, for 'a multimodal ai system for real-time prediction of autophagy and immune regulation using circadian signal fusion.'

Inventor(s) include Greeshma K V.

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 computer-implemented system and method for real-time prediction of physiological states associated with metabolic restoration, cellular autophagy readiness, and immune regulation. The system (100) integrates a wearable sensor interface with a circadian phase encoding engine and a sequential machine learning fusion module to generate predictive health indices. A signal acquisition unit (102) captures multimodal physiological inputs, including heart-rate variability, skin temperature, movement activity, and sleep architecture. A circadian encoder (104) computes sinusoidal phase variables corrected for sleep onset and adaptive factors such as jet lag or shift work. A computational mapping framework (106) transforms inputs into kinetic, metabolic, and restorative vectors. A temporal AI fusion engine (108), selected from the group consisting of recurrent neural networks, gated recurrent units, long short-term memory networks, Transformer architectures, or equivalent sequential models, processes the fused vectors to generate indices including Autophagy Readiness Score (ARS), Immune Stability Index (ISI), Recovery Score (RS), and Circadian Drift Index (CDI). A calibration module (110) establishes personalized thresholds, while a dynamic sampling controller (112) optimizes sensor power usage. Advanced embodiments incorporate cloud analytics (114), federated learning (116), and explainable AI visualization dashboards (118) via graphical user interfaces. The invention provides non-invasive, circadian-aware, and intrinsically explainable health predictions, enabling personalized fasting, recovery, and lifestyle recommendations across consumer wearables, clinical monitoring, and enterprise health analytics."

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