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The MicroRNA 2000 Transformer [electronic resource] : Quantum Computing and Artificial Intelligence for Health / by Yoichi Robertus Fujii.

By: Material type: TextTextLanguage: English Publication details: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.Edition: 2nd ed. 2023Description: XV, 233 p. 1 illus. online resourceISBN:
  • 9789819931651
Subject(s): DDC classification:
  • 6,169,041 23
Online resources:
Contents:
1 Quantum Computing and Artificial Intelligence for MicroRNAs -- 2 Oxford MiRNA Gardener -- 3 Mobile MicroRNAs: Potential for MicroRNA Biogenesis -- 4 Food XenomiRNA Arise: MicroRNA Storm and Space -- 5 Exosomal MicroRNAs as Brain Memory DeviceDevices -- 6 Programmed Evolution by MiRNA Memory -- 7 Communication in MiRNAs between Inflammation and Cancer -- 8 The Concept of "Virus" is the Same as Exosomal MiRNA Gene -- 9 ES Cells or iPS Cells, that is the Question -- 10 MIRAI" Healthcare: "Future" in Japanese -- 11 Deep Learning of MiRNAs for Therapeutic Applications -- 12 Inflammatory Bowel Disease and Rheumatoid Arthritis.
Summary: The second edition includes new findings that were only a theory in the first edition, clarifying what is beginning to be proven true. All chapters have been updated, and new data on the analysis of major depressive disorder from exosome microRNA (miRNA) in plasma, traumatic brain injury, and Alzheimer's disease, brain glioma from cerebrospinal fluid miRNA, liver cancer, induced pluripotent stem (iPS) cell tumorigenesis, and other topics have been added. As predicted in the first edition, diseases can be predicted using the miRNA memory package (MMP) and miRNA entangling target sorting (METS), which could clarify the etiology of human diseases. Because researchers are investigating the relationship between circulating miRNAs and human diseases to develop new medicines, miRNA deep sequencing and detection methods will be high-speed and clever. The microRNA 2000 Transformer- Quantum Computing and Artificial Intelligence for Health is aimed at intermediate and advanced scientists, clinicians, students, and science enthusiasts. The Author hopes to lay the groundwork for future human health innovation.
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Item type Current library Call number Materials specified Status Date due Barcode Item holds
E-Books E-Books National Library of India Online Resource 6,169,041 (Browse shelf(Opens below)) Available EBK000045837ENG
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1 Quantum Computing and Artificial Intelligence for MicroRNAs -- 2 Oxford MiRNA Gardener -- 3 Mobile MicroRNAs: Potential for MicroRNA Biogenesis -- 4 Food XenomiRNA Arise: MicroRNA Storm and Space -- 5 Exosomal MicroRNAs as Brain Memory DeviceDevices -- 6 Programmed Evolution by MiRNA Memory -- 7 Communication in MiRNAs between Inflammation and Cancer -- 8 The Concept of "Virus" is the Same as Exosomal MiRNA Gene -- 9 ES Cells or iPS Cells, that is the Question -- 10 MIRAI" Healthcare: "Future" in Japanese -- 11 Deep Learning of MiRNAs for Therapeutic Applications -- 12 Inflammatory Bowel Disease and Rheumatoid Arthritis.

The second edition includes new findings that were only a theory in the first edition, clarifying what is beginning to be proven true. All chapters have been updated, and new data on the analysis of major depressive disorder from exosome microRNA (miRNA) in plasma, traumatic brain injury, and Alzheimer's disease, brain glioma from cerebrospinal fluid miRNA, liver cancer, induced pluripotent stem (iPS) cell tumorigenesis, and other topics have been added. As predicted in the first edition, diseases can be predicted using the miRNA memory package (MMP) and miRNA entangling target sorting (METS), which could clarify the etiology of human diseases. Because researchers are investigating the relationship between circulating miRNAs and human diseases to develop new medicines, miRNA deep sequencing and detection methods will be high-speed and clever. The microRNA 2000 Transformer- Quantum Computing and Artificial Intelligence for Health is aimed at intermediate and advanced scientists, clinicians, students, and science enthusiasts. The Author hopes to lay the groundwork for future human health innovation.

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