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Latha Chakravarthy

Vasu Chakravarthy

Karthik Balaji Chakravarthy

Prathik Abhay Chakravarthy

Rohit Vallabh Chakravarthy

Sudarshan Venkat Chakravarthy

A diagnostic process for disease detection using gene expression based PCA (Principal Component Analysis) classifier is provided. The present invention includes a method of diagnosing disease in a patient by performing a multilayer PCA classification that analyzes gene expression profiles of patients' biological samples to predict their class as disease or healthy, uses patients' biological samples to extract a set of fingerprint genes for specific disease and cell type which can be used as identification features, and classifies patient biological samples as disease or healthy based on differential gene expression profiles of the fingerprint genes. The present invention also implements the multilayer PCA classifier on patients' biological samples to extract a set of fingerprint genes for specific disease and cell type, and tabulates the fingerprint gene information in a database that will be referenced for disease diagnosis, prescreening in early stages of disease, and for confirming the stage of the disease, executed through the many embodiments of the invention.

Diagnostic process for disease detection using gene expression based multi layer PCA classifier

A hybrid model and diagnostic process for atrial fibrillation is provided. The present invention includes performing a combination of tests including an electrocardiogram signal analysis and a systolic pressure test. The results of the tests produce biomarkers for early detection of atrial fibrillation as well as for evaluating the severity of the disease.

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Beavercreek, OH, United States of America

Latha Chakravarthy