Abstract
Combining artificial intelligence (AI) and microRNA (miRNA) can provide precious medical devices. The Human Genome Project determined the complete genome sequences and protein gene functions, whereas genome-wide association studies (GWAS) failed to determine disease-associated alleles. At that time, it was speculated that the statistical accuracy of allelic heterogeneity at susceptibility loci played an important role in success or failure. However, most protein genes are controlled by miRNAs, as their fate is determined by interactions between the 3′ untranslated region (3’UTR) of messenger RNA (mRNA) and the seed of miRNAs. Therefore, miRNA expression profiles in noncoding regions are implicated in human diseases, such as common diseases, rather than single nucleotide polymorphisms (SNPs) in protein coding exons. Because one miRNA targets many mRNAs of protein genes and one mRNA target is regulated by many miRNAs, the miRNA expression package has been exploited as a precious medical biomarker for multiple diseases. Many doctors still believe that only protein structures and immune cells can cure human diseases, but miRNA genes are noncoding genes. MiRNAs are just information, and that information can cure human diseases. Protein structure is only 1–2% of genomic information’s dream, and the remaining 98% of genomic information must be awakened. Since human diseases are determined by the miRNA memory package (MMP), the feasibility of personalized medicine is completely dependent on miRNA combo (panel) information.
Each state of a dynamic system at a particular time corresponds to a ket vector.
Dirac, P. A. M. The Principles of Quantum Mechanics
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Fujii, Y.R. (2023). “MIRAI” Healthcare: “Future” in Japanese. In: The MicroRNA 2000 Transformer. Springer, Singapore. https://doi.org/10.1007/978-981-99-3165-1_10
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