Advancement in Healthcare System: AL, ML, and Blockchain for Personalized Genomic Applications | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Advancement in Healthcare System: AL, ML, and Blockchain for Personalized Genomic Applications Hari Krishna Garg This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4559452/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Individual genome projects have not been discussed in quite some time, possibly for various reasons. However, despite best efforts, there remains a need to establish a means by which individuals can benefit from the reference genome—a significant outcome of the Human Genome Project—and effectively utilize it. In light of this, a personalized genomic application has been visualized as a potent transformative tool accessible to people globally. An integrated framework has been proposed that melds blockchain technology, genome-tailored applications, and data compression techniques to ensure swift, secure, transparent, and space-efficient operations. This software leverages advanced Artificial Intelligence and Machine Learning methodologies, including neural networks, fuzzy logic, and expert systems, to process individual genomic data. Reports are then generated based on insights gleaned from the user's genome, compared to a reference genome to detect any disparities. Given the security, encryption, and immutability features of blockchain technology, it proves apt for both data transport and storage. Moreover, a technique called 'Data Abbreviation' has been devised to ensure that genetic data and generated reports occupy less space. All of this could contribute to a transformative step toward the greater good of humanity. Biotechnology and Bioengineering Genomics Personalized Genomic Application Your Genome App Blockchain Data Abbreviation Artificial Intelligence Machine Learning. Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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