Data-Driven Surveillance of Rare Disease Epidemiology: A Genomic and AI Integrated Approach

Author(s)	Mahesh Babu Munjala, Chinmay Kulkarni
Country	India
Abstract	This research paper studies the integration of genomic data with the methodologies of Artificial Intelligence, to create a comprehensive surveillance system that can monitor and track the prevalence of rare diseases. This research study aims to develop effective public health strategies based on data, insights, and valuable inferences from surveillance systems. This paper outlines the methodology, challenges, and potential advantages of using these two cutting edge technologies in curing and managing rare diseases.
Keywords	Healthcare supply chain, modern cloud data platform, IoT, Just-In-Time
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 3, May-June 2023
Published On	2023-05-26
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.16027
Short DOI	https://doi.org/gtrsrv

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International Journal For Multidisciplinary Research