MORE ABOUT THIS BOOK
Main description:
This book tells the story of the discovery of microRNA (miRNA) quantum code, the basic theory of biological data science for medical investigation with miRNA, to its implementation. It explains the use of a new algorithm called the miRNA entangling target sorter (METS), based on the quantum computation algorithm, to give the etiologic analysis for diseases such as cancer, infectious diseases, and age-related disorders. Providing detailed descriptions to make the METS algorithm simple to grasp, it also explains the accumulated cutting-edged data for human diseases utilizing artificial intelligence (AI) for quantum miRNA language (miRNA qubit) (MIRAI). Further, it describes a discovery story for quantum miRNA surveillance against tumors and quantum miRNA immunity against viruses. Since this is a multidisciplinary field of study, crucial details on physics, mathematics, computer science, data science, virology, immunology, oncology, pathology, and biology are supplied.
This book will support professional advancement for scientists, clinicians, educators, students, and science enthusiasts. The reader's knowledge of the subject and its practical medical applications will be enriched by the wealth of informative figures and supporting data.
Contents:
RNA Controls RNA.- MicroRNA Qubit.- Matrix Multiplication for MicroRNA Qubit.- MicroRNA Quantum Computing.- Vital METS/MIRAI.- Etiologic Analysis for Human cancer.- Encounter with the unknown.- Diabetes Mellitus: Quantum microRNA Language with Artificial Intelligence (MIRAI) as an Early Diagnostic Tool for Type II Diabetes Mellitus for Sustainable Healthcare.- Thyroid Cancer: Quantum microRNA Language/Artificial Intelligence (MIRAI)-Based Etiologic Analysis of Thyroid Cancer by Serum/Plasma miRNA Panel Data.- Metabolic Disease and Alzheimer's Disease.- Quantum MiRNA Immunity and Quantum MiRNA Surveillance.- Quantum MiRNA code.
PRODUCT DETAILS
Publisher: Springer (Springer Verlag, Singapore)
Publication date: January, 2023
Pages: None
Weight: 442g
Availability: Available
Subcategories: Immunology, Microbiology, Oncology, Pathology