References
Agency for Healthcare Research and Quality (2017). Translating research into practice. www.ahrq.
gov. Retrieved March 25, 2018.
Blumczynski, P. (2016). Ubiquitous Translation. London and New York: Routledge.
Boyatzis, R. E. (1982). The competent manager: A model for effective performance. Wiley.
Chartrand, C., Leeflang, M. M., Minion, J., Brewer, T., & Pai, M. (2012). Accuracy of rapid
influenza diagnostic tests: A meta-analysis. Annals of Internal Medicine, 156, 500–511.
Chesbrough, H., & Spohrer, J. (2006). A research manifesto for services science. Communication of
the ACM, 49, 35–40.
Coiera, E. (2015). Guide to health informatics (3rd ed.). Boca Raton, FL: CRC Press.
Good, B. M., et al. (2014). Organizing knowledge to enable personalization of medicine in cancer.
Genome Biology, 15(8), 438. https://doi.org/10.1186/s13059-014-0438-7
Hirasawa, T., Aoyama, K., et al. (2018). Application of artificial intelligence using a convolutional
neural network for detecting gastric cancer in endoscopic images. Gastric Cancer, 21(4),
653–660.
Japan Agency for Medical Research and Development. (2019). Endoscopic diagnosis support
program equipped with AI approved—To utilize for diagnosis assistance of a doctor. Announcement released by Japan Agency for Medical Research and Development. Retrieved January 29,
2019, from https://www.amed.go.jp/news/release_20181210.html
Kijima, K. (2015). Translational and trans-disciplinary approach to service systems. In Service
Systems Science. (pp. 37–54). Springer.
Laskin, et al. (2015). Lessons learned from the application of whole genome analysis to the
treatment of patients with advanced cancers. Cold Spring Harbor Molecular Case Studies, 1,
a000570. https://doi.org/10.1101/mcs.a000570. http://molecularcasestudies.cshlp.org/content/
1/1/a000570.full
Maglio, P., & Spohrer, J. (2008). Fundamentals of service science. Journal of the Academy of
Marketing Science, 36, 18–20.
Matsushita, H. (2014). Value-in-context of healthcare: What human factors differentiate quality of
nursing services? Service Science, 6(3), 149–160.
Miyano, S. (2018). Presentation material on the forefront of genome analysis and next-generation
genome practice. The 28th Cancer Clinical Research Forum. June 8, 2018 (Originally in
Japanese). Retrieved May 2, 2019, from https://ganjoho.jp/data/professional/training_seminar/
zengankyo/180608_am05.pdf
Mobus, G., & Kalton, M. (2015). Principles of systems science. New York: Springer.
Driven by ArƟficial Intelligence,
Big Data and IoT
CT1
CT3
CT2
CT6
CTn
CT10………
CT4
CT7
CT9
CT8
CT5
TranslaƟonality and
converging technologies
Converging Technology (CT)
I n f o r m a t i o n S c i e n c e s
B io
t e c h n o lo g y
C o g n it iv e s c ie
n
c
e
N
a
n
o
t
e
c
h
n
o
lo
g
y
Fig. 8 Translationality and
converging technologies
22
H. Matsushita
Agency for Healthcare Research and Quality (2017). Translating research into practice. www.ahrq.
gov. Retrieved March 25, 2018.
Blumczynski, P. (2016). Ubiquitous Translation. London and New York: Routledge.
Boyatzis, R. E. (1982). The competent manager: A model for effective performance. Wiley.
Chartrand, C., Leeflang, M. M., Minion, J., Brewer, T., & Pai, M. (2012). Accuracy of rapid
influenza diagnostic tests: A meta-analysis. Annals of Internal Medicine, 156, 500–511.
Chesbrough, H., & Spohrer, J. (2006). A research manifesto for services science. Communication of
the ACM, 49, 35–40.
Coiera, E. (2015). Guide to health informatics (3rd ed.). Boca Raton, FL: CRC Press.
Good, B. M., et al. (2014). Organizing knowledge to enable personalization of medicine in cancer.
Genome Biology, 15(8), 438. https://doi.org/10.1186/s13059-014-0438-7
Hirasawa, T., Aoyama, K., et al. (2018). Application of artificial intelligence using a convolutional
neural network for detecting gastric cancer in endoscopic images. Gastric Cancer, 21(4),
653–660.
Japan Agency for Medical Research and Development. (2019). Endoscopic diagnosis support
program equipped with AI approved—To utilize for diagnosis assistance of a doctor. Announcement released by Japan Agency for Medical Research and Development. Retrieved January 29,
2019, from https://www.amed.go.jp/news/release_20181210.html
Kijima, K. (2015). Translational and trans-disciplinary approach to service systems. In Service
Systems Science. (pp. 37–54). Springer.
Laskin, et al. (2015). Lessons learned from the application of whole genome analysis to the
treatment of patients with advanced cancers. Cold Spring Harbor Molecular Case Studies, 1,
a000570. https://doi.org/10.1101/mcs.a000570. http://molecularcasestudies.cshlp.org/content/
1/1/a000570.full
Maglio, P., & Spohrer, J. (2008). Fundamentals of service science. Journal of the Academy of
Marketing Science, 36, 18–20.
Matsushita, H. (2014). Value-in-context of healthcare: What human factors differentiate quality of
nursing services? Service Science, 6(3), 149–160.
Miyano, S. (2018). Presentation material on the forefront of genome analysis and next-generation
genome practice. The 28th Cancer Clinical Research Forum. June 8, 2018 (Originally in
Japanese). Retrieved May 2, 2019, from https://ganjoho.jp/data/professional/training_seminar/
zengankyo/180608_am05.pdf
Mobus, G., & Kalton, M. (2015). Principles of systems science. New York: Springer.
Driven by ArƟficial Intelligence,
Big Data and IoT
CT1
CT3
CT2
CT6
CTn
CT10………
CT4
CT7
CT9
CT8
CT5
TranslaƟonality and
converging technologies
Converging Technology (CT)
I n f o r m a t i o n S c i e n c e s
B io
t e c h n o lo g y
C o g n it iv e s c ie
n
c
e
N
a
n
o
t
e
c
h
n
o
lo
g
y
Fig. 8 Translationality and
converging technologies
22
H. Matsushita