Advancement in Healthcare System: AL, ML, and Blockchain for Personalized Genomic Applications

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.