The MicroRNA 2000 Transformer
Springer Verlag, Singapore
978-981-99-3164-4 (ISBN)
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.
Dr. Yoichi Robertus Fujii, MDV PhD Dr. Fujii YR graduated from Hokkaido University, Japan. He was a lecturer at Nagoya University School of Medicine, a scientific officer at Oxford University, Institute of Virology, and an associate professor at Nagoya City University. He has more than 70 peer-reviewed international publications. He founded The Society of Retrovirology Research Community and The Society of MicroRNA in Japan. He was a member of the New York Academy of Science and the American Association of Microbiology.
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.
| Erscheinungsdatum | 10.10.2023 |
|---|---|
| Zusatzinfo | 1 Illustrations, black and white; XV, 233 p. 1 illus. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Theorie / Studium |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Mikrobiologie / Infektologie / Reisemedizin | |
| Medizin / Pharmazie ► Medizinische Fachgebiete ► Onkologie | |
| Medizin / Pharmazie ► Studium | |
| Naturwissenschaften ► Biologie ► Mikrobiologie / Immunologie | |
| Naturwissenschaften ► Physik / Astronomie ► Quantenphysik | |
| Schlagworte | Deep learning • ES cells • Healthcare • iPS cells • microRNA • miRNA |
| ISBN-10 | 981-99-3164-9 / 9819931649 |
| ISBN-13 | 978-981-99-3164-4 / 9789819931644 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
