Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Toward modeling the human physionome

J B Bassingthwaighte1

  • 1Center for Bioengineering, University of Washington, Seattle 98195, USA.

Advances in Experimental Medicine and Biology
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Diverse Data Sets Can Yield Reliable Information through Mechanistic Modeling: Salicylic Acid Clearance.

British journal of pharmaceutical research·2016
Same author

Left ventricular finite element model bounded by a systemic circulation model.

Journal of biomechanical engineering·2013
Same author

BIFURCATING DISTRIBUTIVE SYSTEM USING MONTE CARLO METHOD.

Mathematical and computer modelling·2012
Same author

Evaluating maximum likelihood estimation methods to determine the Hurst coeficient.

Physica A·2012
Same author

The spectra and periodograms of anti-correlated discrete fractional Gaussian noise.

Physica A·2012
Same author

The kinetics of Ca-Na exchange in excitable tissue.

Mathematical biosciences·2011

The physionome describes organismal physiological dynamics. Integrating data from molecular biology and medicine through modeling is crucial for advancing biological and medical sciences.

Area of Science:

  • Physiology
  • Systems Biology
  • Bioinformatics

Background:

  • The physionome represents the physiological dynamics of a normal, intact organism.
  • Current scientific progress necessitates integrating diverse knowledge from biology and medicine.
  • Effective data management is essential for handling the complexity of biological information.

Purpose of the Study:

  • To highlight the importance of the physionome as a next-level scientific endeavor.
  • To propose modeling as a method for integrating multi-disciplinary biological and medical data.
  • To advocate for improved data-basing strategies for raw biological data.

Main Methods:

  • Leveraging lessons learned from the genome project for future large-scale biological data initiatives.

Related Experiment Videos

  • Employing computational modeling to synthesize information from molecular biology, biophysics, and medical biology.
  • Developing efficient strategies for databasing raw biological and physiological data.

    • Main Results:

    • The integration of physiological dynamics (physionome) is a critical emerging area in biological sciences.
    • Modeling serves as a key tool for unifying disparate biological data streams.
    • Enhanced databasing is required to support complex biological data integration.

    Conclusions:

    • The physionome, alongside the genome and morphonome, represents a significant frontier in biological research.
    • Integrated physiological data, facilitated by modeling and efficient databasing, will empower physicians and medical scientists.
    • Applying genome project strategies to physionome and morphonome projects will accelerate scientific discovery.