Grand Challenges in Computational Physiology and Medicine

Winslow, Raimond L.

doi:10.3389/fphys.2011.00079

Cited by 2 publications

(3 citation statements)

References 61 publications

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“…Simulations need to find justification in experiments, and experiments need a model, based on theory and simulation (3). In this sense, our own experience coincides with Winslow's statement: discrepancies between model predictions and experimental outcomes may suggest that additional biological processes must be added to a model or that some existing component of the model needs a more precise characterization (28).…”

Section: Resultsmentioning

confidence: 79%

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A counterpoint between computer simulations and biological experiments to train new members of a laboratory of physiological sciences

Ozu

Dorr

Gutiérrez

et al. 2012

Advances in Physiology Education

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When new members join a working group dedicated to scientific research, several changes occur in the group's dynamics. From a teaching point of view, a subsequent challenge is to develop innovative strategies to train new staff members in creative thinking, which is the most complex and abstract skill in the cognitive domain according to Bloom's revised taxonomy. In this sense, current technological and digital advances offer new possibilities in the field of education. Computer simulation and biological experiments can be used together as a combined tool for teaching and learning sometimes complex physiological and biophysical concepts. Moreover, creativity can be thought of as a social process that relies on interactions among staff members. In this regard, the acquisition of cognitive abilities coexists with the attainment of other skills from psychomotor and affective domains. Such dynamism in teaching and learning stimulates teamwork and encourages the integration of members of the working group. A practical example, based on the teaching of biophysical subjects such as osmosis, solute transport, and membrane permeability, which are crucial in understanding the physiological concept of homeostasis, is presented.

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Section: Resultsmentioning

confidence: 79%

“…They stimulate further experimental testing and model refinement (28) and are thus useful for both students and scientists. For example, sometimes results show that a computer model must take into account additional biological variables to explain in vitro measurements.…”

Section: Resultsmentioning

confidence: 99%

A counterpoint between computer simulations and biological experiments to train new members of a laboratory of physiological sciences

Ozu

Dorr

Gutiérrez

et al. 2012

Advances in Physiology Education

View full text Add to dashboard Cite

show abstract

“…West, 2011;Winslow, 2011). However, before such complex models can be developed and tested, all advanced imaging techniques have to be thoroughly questioned, optimized and validated in order to collect reliable data from single subjects or organs.…”

Section: Future Directionsmentioning

confidence: 99%