MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202541060943 A) filed by MLR Institute of Technology, Hyderabad, India, on June 26, for 'medilearn: medical recommendation system.'
Inventor(s) include Mrs. S. Parvathi; Mrs. P. Nishitha; Mrs. M. Srividya; and Mrs. N. Vijayasri.
The application for the patent was published on July 11, under issue no. 28/2025.
According to the abstract released by the Intellectual Property India: "MediLearn: Making Medicine Accessible to All is a pioneering digital health platform that has a mission to change the manner in which individuals acquire and understand medical information. The demand for personalized, affordable, and convenient healthcare solutions is increasing during a time marked by rapid development in technology. For this purpose, MediLearn employs machine learning algorithms, advanced data processing techniques, and a large medical database to present precise and tailored health suggestions. Individuals may input health-related information, such as symptoms, medical conditions, lifestyle habits, and existing conditions, through the system's very intuitive and simple interface. MediLearn's innovative design encourages participation and ease of use by making it available to individuals with various levels of technology proficiency. The platform utilizes a repetitive medical language extraction method to accurately interpret the input upon entering the data. The information is then classified into relevant disease categories by means of a sophisticated clustering algorithm, helping to identify both overt as well as subtle medical ailments. One of the salient aspects of MediLearn is that it has an intelligent filtering system that identifies suitable medicines and treatments according to the health profile of the user from a reliable, evidence-based medicine database. This ensures the delivery of accurate, situation-related health recommendations. For customers seeking immediate health information, particularly in time-sensitive situations, the real-time nature of the platform and its instant response are essential aspects. MediLearn can be employed in individual as well as institutional healthcare systems since it was developed keeping scalability and integration in view. Due to the adaptive architecture, it can be employed across a range of geographical and cultural regions and can integrate with global healthcare systems. MediLearn empowers individuals with the capacity to make informed healthcare decisions by merging credible medical information and real-time responsiveness. This innovative method bridges the gap between conventional health management and complex medical science. Customized analysis, intuitive design, and robust backend technology ensure MediLearn is a digital healthcare game-changer. Besides simplifying medical concepts for the average user, it promotes active health management, shifting the manner in which medical consultations and self-care are performed in the future."
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