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21 NOVEMBER 2012

Discovery Through Design: The Foetus Project

"Brazilian design graduate Jorge Lopes Dos Santos has developed a way of making physical models of foetuses using data from ultrasound, CT and MRI scans.

He developed the project in collaboration with a paediatric cardiologist at Imperial College while studying on the Design Products MA course at London's Royal College of Art.

Jorge Lopes Dos Santos hopes the models, which are made using 3D printing techniques, can be used to train doctors and to help with emotional support for parents whose child may be born with deformities."

(Dezeen, 16 July 2009)

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TAGS

20093D printing3D visualisationabnormalityanatomybabybiomedical • born with deformities • Brazilian • CNPq • Conselho Nacional de Desenvolvimento • CT scan • deformity • Department of Design Products • design graduatedesign method • Design Products MA • digital healthdiscovery through design • emotional support • fetus • foetus • Imperial College Londoninsight through design • Jorge Lopes Dos Santos • Jorge Roberto Lopes Dos Santos • MRI • MRI scan • mutant • paediatric cardiologist • parentsPhD researchphysical modelsproduct designrapid prototypingrich descriptionRoyal College of Artscan • School of Architecture and Design • Ultrasound 3D • ultrasound scan • visual depictionvisual fidelityvisual representationvisualisation

CONTRIBUTOR

Simon Perkins
20 SEPTEMBER 2011

Citizen science: predicting protein structures with a multiplayer online game

"People exert large amounts of problem–solving effort playing computer games. Simple image– and text–recognition tasks have been successfully 'crowd–sourced' through games, but it is not clear if more complex scientific problems can be solved with human–directed computing. Protein structure prediction is one such problem: locating the biologically relevant native conformation of a protein is a formidable computational challenge given the very large size of the search space. Here we describe Foldit, a multiplayer online game that engages non–scientists in solving hard prediction problems. Foldit players interact with protein structures using direct manipulation tools and user–friendly versions of algorithms from the Rosetta structure prediction methodology, while they compete and collaborate to optimize the computed energy. We show that top–ranked Foldit players excel at solving challenging structure refinement problems in which substantial backbone rearrangements are necessary to achieve the burial of hydrophobic residues. Players working collaboratively develop a rich assortment of new strategies and algorithms; unlike computational approaches, they explore not only the conformational space but also the space of possible search strategies. The integration of human visual problem–solving and strategy development capabilities with traditional computational algorithms through interactive multiplayer games is a powerful new approach to solving computationally–limited scientific problems."

(Seth Cooper, Firas Khatib, Adrien Treuille, Janos Barbero, Jeehyung Lee, Michael Beenen, Andrew Leaver–Fay, David Baker, Zoran Popović & Foldit players)

Nature 466, 756–760 (05 August 2010) doi:10.1038/nature09304 Received 22 January 2010 Accepted 30 June 2010

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TAGS

algorithm • biochemistry • biomedicalcitizen sciencecollaboration • computational approaches • computational challenge • computer games • computing science • crowdsourcingdiscovery through designDNA • DNA sequence • Foldit • gamesimage recognitioninsight through designinteractive gamesmulti-player • multi-player online game • Nature (journal) • non-scientists • online gameplaying • predication • problem-solving • protein structure prediction • protein structures • scientific problems • scientists • structural biology • text recognitiontheory buildingvisual problem-solvingvisual representation

CONTRIBUTOR

Simon Perkins
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