Literature DB >> 34546537

Computational Medicine: Past, Present and Future.

Lan-Qing Lyu1, Hong-Yan Cui1, Ming-Yi Shao2, Yu Fu1, Rui-Xia Zhao1, Qiu-Ping Chen1.   

Abstract

Computational medicine is an emerging discipline that uses computer models and complex software to simulate the development and treatment of diseases. Advances in computer hardware and software technology, especially the development of algorithms and graphics processing units (GPUs), have led to the broader application of computers in the medical field. Computer vision based on mathematical biological modelling will revolutionize clinical research and diagnosis, and promote the innovative development of Chinese medicine, some biological models have begun to play a practical role in various types of research. This paper introduces the concepts and characteristics of computational medicine and then reviews the developmental history of the field, including Digital Human in Chinese medicine. Additionally, this study introduces research progress in computational medicine around the world, lists some specific clinical applications of computational medicine, discusses the key problems and limitations of the research and the development and application of computational medicine, and ultimately looks forward to the developmental prospects, especially in the field of computational Chinese medicine.
© 2021. The Chinese Journal of Integrated Traditional and Western Medicine Press and Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  artificial intelligence; big data; computational Chinese medicine; computational medicine; model

Mesh:

Year:  2021        PMID: 34546537      PMCID: PMC8453474          DOI: 10.1007/s11655-021-3453-z

Source DB:  PubMed          Journal:  Chin J Integr Med        ISSN: 1672-0415            Impact factor:   2.626


Appendix
  14 in total

Review 1.  Big data and machine learning algorithms for health-care delivery.

Authors:  Kee Yuan Ngiam; Ing Wei Khor
Journal:  Lancet Oncol       Date:  2019-05       Impact factor: 41.316

Review 2.  eDoctor: machine learning and the future of medicine.

Authors:  G S Handelman; H K Kok; R V Chandra; A H Razavi; M J Lee; H Asadi
Journal:  J Intern Med       Date:  2018-09-03       Impact factor: 8.989

3.  Artificial Intelligence Meets Chinese Medicine.

Authors:  Yan Guo; Xue Ren; Yu-Xin Chen; Teng-Jiao Wang
Journal:  Chin J Integr Med       Date:  2019-10-24       Impact factor: 1.978

4.  Volumetric Damage to the Femoral Physis During Double-Bundle Posterior Cruciate Ligament Reconstruction: A Magnetic Resonance Imaging Computer Modeling Study.

Authors:  Kevin G Shea; Nathan L Grimm; Francesca R Nichols; John C Jacobs
Journal:  Arthroscopy       Date:  2015-03-12       Impact factor: 4.772

5.  Customized biomimetic scaffolds created by indirect three-dimensional printing for tissue engineering.

Authors:  Ju-Yeon Lee; Bogyu Choi; Benjamin Wu; Min Lee
Journal:  Biofabrication       Date:  2013-09-23       Impact factor: 9.954

6.  3D Printing Silicone Elastomer for Patient-Specific Wearable Pulse Oximeter.

Authors:  Sara Abdollahi; Eric J Markvicka; Carmel Majidi; Adam W Feinberg
Journal:  Adv Healthc Mater       Date:  2020-06-16       Impact factor: 9.933

Review 7.  High-performance medicine: the convergence of human and artificial intelligence.

Authors:  Eric J Topol
Journal:  Nat Med       Date:  2019-01-07       Impact factor: 53.440

8.  Transcriptomic signatures across human tissues identify functional rare genetic variation.

Authors:  Nicole M Ferraro; Benjamin J Strober; Pejman Mohammadi; Stephen B Montgomery; Alexis Battle; Jonah Einson; Nathan S Abell; Francois Aguet; Alvaro N Barbeira; Margot Brandt; Maja Bucan; Stephane E Castel; Joe R Davis; Emily Greenwald; Gaelen T Hess; Austin T Hilliard; Rachel L Kember; Bence Kotis; YoSon Park; Gina Peloso; Shweta Ramdas; Alexandra J Scott; Craig Smail; Emily K Tsang; Seyedeh M Zekavat; Marcello Ziosi; Kristin G Ardlie; Themistocles L Assimes; Michael C Bassik; Christopher D Brown; Adolfo Correa; Ira Hall; Hae Kyung Im; Xin Li; Pradeep Natarajan; Tuuli Lappalainen
Journal:  Science       Date:  2020-09-10       Impact factor: 63.714

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.