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n. (used with a sing. verb)
The application of mathematical principles to biological processes.

bi′o·math′e·mat′i·cal adj.
bi′o·math′e·ma·ti′cian (-mə-tĭsh′ən) n.


(ˌbaɪəʊˌmæθəˈmætɪks; -ˌmæθˈmæt-)
(Mathematics) (functioning as singular) the study of the application of mathematics to biology


(ˌbaɪ oʊˌmæθ əˈmæt ɪks)

n. (used with a sing. v.)
mathematical methods applied to the study of living organisms.
bi`o•math`e•mat′i•cal, adj.
bi`o•math`e•ma•ti′cian (-məˈtɪʃ ən) n.
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References in periodicals archive ?
International Journal of Biomathematics, 9(3)(2016), 165003715.
We would like to thank Hai-Yu Pang for his help in the statistical analysis work of the study, who now work in the biomathematics office in Peking Union Medical College Hospital.
The authors would like to thank to Zsolt LANG (Department of Biomathematics and Informatics, UVMB) for providing statistical analysis.
in Biomathematics from Florida State University) is a visiting assistant professor in the Department of Mathematics and Statistics at the Sam Houston State University.
Telehealth technology, remote biometric monitoring, biomathematics, health coaching, and patient engagement are proving to be powerful tools in the fight to improve chronic-care outcomes.
This years awards event continues to attract Chinese mathematics students to submit a host of research papers of the highest standards, covering diversified areas likes fundamental mathematics, applied mathematics, probability statistics, biomathematics and others.
Among their topics are recent trends in spatial data mining and its challenges, rough fuzzy set theory and neighborhood-approximation-based modeling for spatial epidemiology, extracting protein sequence motif information using biologically inspired computing, evolutionary computing approaches to system identification, and the solution of some differential equations in fuzzy environments by the extensive principle method and its application in biomathematics.
1) Department of Epidemiology, Fielding School of Public Health, University of California at Los Angeles (UCLA), Los Angeles, California, USA; (2) Department of Human Genetics, and (3) Department of Biomathematics, David Geffen School of Medicine, UCLA, Los Angeles, California, USA; (4) Department of Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, California, USA; (5) Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA; (6) Department of Neurology, School of Medicine, UCLA, Los Angeles, California, USA; (7) Department of Environmental Health Sciences, Fielding School of Public Health, UCLA, Los Angeles, California, USA
1] Biostatistics and Biomathematics Program, Public Health Sciences Division, [2] Vaccine and Infectious Disease Division, Public Health Sciences Division, and [3] Translational Research Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA; [4] Clinical Epidemiology, University of Amsterdam, Amsterdam, Netherlands; [5] Biostatistics, University of Texas MD Anderson Cancer Center, Houston, TX; [6] Department of Biostatistics, Institute of Medical Genetics, University of Copenhagen, Copenhagen, Denmark.
Daniela Markovic, MS, and Jeffrey Gornbein, DrPH, of the UCLA Department of Biomathematics contributed to the review of the statistical analysis and the presentation of the data.
Liu, "Dynamics analysis of impulsive stochastic high-order BAM neural networks with Markovian jumping and mixed delays," International Journal of Biomathematics, vol.
Ma, "Stability of a class of epidemic model with latent period," Journal of Biomathematics, vol.