MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202541041150 A) filed by Dr. P. Balakrishnan; Dr. Sathishkumar K; Dr. A. Anny Leema; and Dr. Vidhya Sathishkumar on April 29, 2025, for Integrated Multi-Stage System For Adhd Prediction And Personalized Therapy Recommendation.
Inventors include Dr. Vidhya Satathishkumar; Dr. Sathish Kumar K; Devasena T; Queen Jemila V; Dr. P. Balakrishnan; and Dr. A. Anny Leema.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: Abstract Integrated Multi-Stage System for ADHD Prediction and Personalized Therapy Recommendation The present invention provides a multi-stage computer- implemented system (100) and method for ADHD prediction and therapy optimization utilize a sequential gating controller (206) to execute adaptive data tiering. By calculating a diagnostic confidence score (C), the system triggers high-cost genomic and cognitive data ingestion only when baseline clinical data is ambiguous, ensuring computational efficiency. An ML and prediction module (300) employs a stacked ensemble classifier (302) with discordance-aware logic to resolve conflicts between genetic risk and behavioral performance, preventing over-diagnosis via inverse-variance weighting. A Dual-Constraint Therapy Prediction Engine (DCTPE, 406) validates interventions by requiring the simultaneous satisfaction of genetic and cognitive thresholds. An orchestration module (600) manages the end-to-end workflow through a DAG, synthesizing results into an interactive neuro-genomic map that links SNPs to brain regions associated with specific cognitive deficits. This integrated approach ensures personalized, evidence-based treatment strategies while maintaining a full audit trail for clinical and regulatory compliance. (
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