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COMPUTATIONAL FLUID DYNAMICS (CFD) IN MEDICINE AND BIOLOGY II

COMPUTATIONAL FLUID DYNAMICS (CFD) IN MEDICINE AND BIOLOGY II

CFD

Date of beginning

Sunday, 30 August 2015

Duration

6 days

Deadline for abstracts

-

City

Albufeira

Country

Portugal

Contact

Arlene Conway

E-Mail

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Expected participants

100

Participants

0

Memo

After the immense success of the first conference chaired by Prof. David Elad (Tel Aviv University) in 2012, the 2nd International Conference on CFD in Medicine & Biology will take place in Algarve, Portugal (29.08.-04.09.2015).



With ongoing advances in both software and hardware development, including the huge increase in computers speed and memory, computational fluid dynamics (CFD) are playing an increasing role in simulating complex transport phenomena in medicine and biology. As a result, medical, bioengineering and pharmaceutical research, both academic and industrial have been utilizing the advantages of CFD tools to plan sophisticated and specialized multi-physics models. The benefits of these numerical approaches have allowed to gain deeper insight into many physical and biological phenomena and provided an excellent tool for predicting performance of devices during the design phase. In many applications, the virtual capacity of CFD is replacing experimental work in the lab with the ability to control and isolate governing parameters. In practice, the CFD tools compress the design and development cycle required for prototyping and testing new devices.



Recent developments in CFD capabilities and applications require fast and effective dissemination within the community. In this 2nd conference, we will cover all aspects of fundamental and advanced state-of-the-art developments and applications of CFD tools in medicine, bio-engineering and biology, from cellular to organ level and from physiology to the design and development of medical devices. The conference will gather investigators and scientists both from academia and industry and underline how both medicine and biology are now progressively entering the in silico modeling area.