Intellectual Property India Publishes Patent Application for 'Multispectral Brain Imaging-Based AI Framework For Early Neurological Disorder Diagnosis' Filed by Suhasini Shashikant Goilkar; Dr. C. Suganthi; Shashikant Shripatrao Goilkar; Dr. P. Rajasekar; Dr. A. Suganya; Utthirakumari R; Dr. Sybi Cynthia J; and Dr. Mohan Kumar J

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521119093 A) filed by Suhasini Shashikant Goilkar; Dr. C. Suganthi; Shashikant Shripatrao Goilkar; Dr. P. Rajasekar; Dr. A. Suganya; Utthirakumari R; Dr. Sybi Cynthia J; and Dr. Mohan Kumar J, Pune, Maharashtra, on Nov. 28, 2025, for 'multispectral brain imaging-based ai framework for early neurological disorder diagnosis.'

Inventor(s) include Suhasini Shashikant Goilkar; Dr. C. Suganthi; Shashikant Shripatrao Goilkar; Dr. P. Rajasekar; Dr. A. Suganya; Utthirakumari R; Dr. Sybi Cynthia J; and Dr. Mohan Kumar J.

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: "The present invention discloses an advanced multispectral brain imaging-based artificial intelligence (AI) framework for the early diagnosis of neurological disorders by integrating high-resolution imaging technologies with machine learning-driven analytical pipelines. The system utilizes multimodal imaging inputs, including structural MRI, functional MRI, PET, near-infrared spectroscopy (NIRS), and hyperspectral imaging, to capture diverse physiological, metabolic, and anatomical biomarkers associated with early pathological changes in the brain. A unified AI engine, comprising deep neural networks, feature-fusion architectures, spatiotemporal pattern analyzers, and explainable AI modules, processes heterogeneous imaging data to detect subtle anomalies that precede symptomatic manifestations of disorders such as Alzheimer's disease, Parkinson's disease, epilepsy, stroke, and multiple sclerosis. The framework introduces a multispectral data harmonization module for aligning multimodal signals and generating enriched brain maps with enhanced diagnostic resolution. The invention further incorporates a cloud-integrated diagnostic platform enabling real-time analysis, remote clinician access, automated patient risk stratification, and longitudinal monitoring of disease progression."

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