MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641076717 A) filed by Soumya Madduru; and Dr. Venkata Raju Kallipalli on June 20, 2026, for Impact Of Machine Learning In Acute Myeloid Leukemia (aml) With Prognosis And Diagnosis Approach For Better Accuracy.
Inventors include Soumya Madduru; and Dr. Venkata Raju Kallipalli.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Impact of machine learning in acute myeloid leukemia (AML) with prognosis and diagnosis approach for better accuracy is the proposed invention. Acute myeloid leukemia (AML) presents significant challenges in diagnosis and treatment due to its heterogeneous nature and complex genetic landscape. In recent years, machine learning (ML) techniques have emerged as powerful tools for improving the accuracy and efficiency of AML diagnosis. This paper reviews the impact of machine learning approaches in AML diagnosis and outlines a diagnostic framework aimed at enhancing accuracy and patient outcomes. The utilization of ML algorithms allows for the integration of diverse patient data sources, including genetic profiles, medical imaging, and clinical parameters, enabling comprehensive analysis and pattern recognition. Early detection of AML is facilitated through the identification of subtle disease markers and predictive modeling of patient outcomes. ML models also enable risk stratification, guiding clinicians in personalized treatment decisions based on individual patient characteristics and prognostic factors.
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