MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202411028426 A) filed by Bioheaven 360 Geneotec Pvt. Ltd., New Delhi, on April 6, 2024, for 'risk prediction tool based on deep phenotyping and genomic data integration.'
Inventor(s) include Dr. Vijay Sharma; Dr. Saurabh Raghuvanshi; and Dr. Shailendra Vyas.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "The present invention discloses a method for risk prediction based on deep phenotyping and genomic data integration eliminating queue-based processing to single buffer processing. The method comprising obtaining a plurality of data of a subject from a UDSC server. The method further includes obtaining one or more one or more vitals measurements of the subject's, from one or more sensors. The method further includes inputting the plurality of the data of the subject and the obtained one or one or more vitals measurements of the subject, for exploratory data analysis (EDA) and feature engineering. The method further includes obtaining a set of biomarker features extracted from measurement data taken from a biochemical analysis of blood of the subjects. The method further includes synthesizing the resultant data obtained after the EDA and feature engineering and the set of biomarker features extracted from the measurement data taken from the biochemical analysis of blood of the subject's, and inputting, the synthesized output data into a XGBoost learning model. The method further includes comparing the output XGBoost learning data with a predefined bodily parameter data of the subject. The method further includes generating an iterative score based on the comparison. The method further includes predicting the risk of the disease based on the generated score."
Disclaimer: Curated by HT Syndication.
