MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611065070 A) filed by Greater Noida Institute Of Technology Engineering Institute on May 23, 2026, for Machine Learning Based Kidney Disease Prediction Device With Explainable Risk Stratification.
Inventors include Dr. Sanjay Kumar; Ms. Vibha Mani; Mr. Pancham Kumar; Kamran Akhtar; Harsh Sharma; Bhavya; Anshika Singh; Divyanshu Kumar Raj; Bhoomika Gupta; Arbaz Aslam; and Aastha Priya.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Abstract A machine-learning based kidney disease prediction device is disclosed for machine-learning prediction of kidney disease. The system receives serum creatinine, eGFR, blood urea nitrogen, urine albumin-to-creatinine ratio, vital signs, demographics, medication history and physiological signals from patients, clinicians, laboratory systems, EHR systems and optional wearable sensors through an input interface. A conditioning portion prepares the received input by filtering, normalizing, parsing, segmenting or otherwise converting the input into a structured representation suited to the particular processing task. A decision portion then standardizes clinical values, imputes missing fields, derives trend features, predicts kidney disease risk or stage and generates feature attributions for clinician review. The system generates risk categories, progression warnings, explanatory feature summaries and clinical alert records through an output interface and stores a corresponding processing record. The arrangement links acquisition, conditioning, decision processing and output generation in one operative chain, because the device derives temporal and domain- specific features before producing a calibrated risk output. Dated 13 May 2026 Kumar Tushar Srivastava IN/PA- 3973 Agent for the Applicant
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