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
Cite This	Data-Driven Surveillance of Rare Disease Epidemiology: A Genomic and AI Integrated Approach - Mahesh Babu Munjala, Chinmay Kulkarni - IJFMR Volume 5, Issue 3, May-June 2023. DOI 10.36948/ijfmr.2023.v05i03.16027
DOI	https://doi.org/10.36948/ijfmr.2023.v05i03.16027
Short DOI	https://doi.org/gtrsrv

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research