MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024910 A) filed by Theophilus F; and Ravi Rajesh J, Chennai, Tamil Nadu, on March 3, for 'a neuro-causal multimodal system for early flare prediction and disease progression modeling in systemic lupus erythematosus using hybrid synthetic-public data.'
Inventor(s) include Ravi Rajesh J; S Muralikarthik; Madhavan B; and Mahesh Aravind M S.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure relates to a computer-implemented system for automated risk assessment and disease progression monitoring in systemic lupus erythematosus (SLE). The system comprises a processor and memory configured to receive heterogeneous multimodal clinical data including structured and unstructured inputs. A data integration module performs normalization, temporal alignment, and harmonization of heterogeneous data streams to reduce noise and modality inconsistencies. A neural network-based causal inference engine determines directed interdependencies among biomarker variables and generates a reduced feature representation for predictive processing. A predictive module computes a probabilistic flare risk indicator based on the processed feature set. An output interface is configured to present the generated risk indicators for clinical decision support. The architecture improves computational efficiency by reducing redundant feature evaluation and enabling stable processing of heterogeneous clinical data under defined computational constraints."
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