Literature DB >> 23380847

Grand challenges in interfacing engineering with life sciences and medicine.

Bin He1, Richard Baird, Robert Butera, Aniruddha Datta, Steven George, Bruce Hecht, Alfred Hero, Gianluca Lazzi, Raphael C Lee, Jie Liang, Michael Neuman, Grace C Y Peng, Eric J Perreault, Melur Ramasubramanian, May D Wang, John Wikswo, Guang-Zhong Yang, Yuan-Ting Zhang.   

Abstract

This paper summarizes the discussions held during the First IEEE Life Sciences Grand Challenges Conference, held on October 4-5, 2012, at the National Academy of Sciences, Washington, DC, and the grand challenges identified by the conference participants. Despite tremendous efforts to develop the knowledge and ability that are essential in addressing biomedical and health problems using engineering methodologies, the optimization of this approach toward engineering the life sciences and healthcare remains a grand challenge. The conference was aimed at high-level discussions by participants representing various sectors, including academia, government, and industry. Grand challenges were identified by the conference participants in five areas including engineering the brain and nervous system; engineering the cardiovascular system; engineering of cancer diagnostics, therapeutics, and prevention; translation of discoveries to clinical applications; and education and training. A number of these challenges are identified and summarized in this paper.

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Year:  2013        PMID: 23380847     DOI: 10.1109/TBME.2013.2244886

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  9 in total

Review 1.  The Business Engineering Surgical Technologies (BEST) teaching method: incubating talents for surgical innovation.

Authors:  V de Ruijter; P Halvax; B Dallemagne; L Swanström; J Marescaux; S Perretta
Journal:  Surg Endosc       Date:  2014-07-04       Impact factor: 4.584

2.  Noninvasive Brain-Computer Interfaces Based on Sensorimotor Rhythms.

Authors:  Bin He; Bryan Baxter; Bradley J Edelman; Christopher C Cline; Wendy Ye
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-05-20       Impact factor: 10.961

3.  Fabrication of 3D Biomimetic Microfluidic Networks in Hydrogels.

Authors:  Keely A Heintz; Michael E Bregenzer; Jennifer L Mantle; Kelvin H Lee; Jennifer L West; John H Slater
Journal:  Adv Healthc Mater       Date:  2016-05-30       Impact factor: 9.933

4.  The impact of mind-body awareness training on the early learning of a brain-computer interface.

Authors:  Kaitlin Cassady; Albert You; Alex Doud; Bin He
Journal:  Technology (Singap World Sci)       Date:  2014-09

5.  Quantitative fluorescent profiling of VEGFRs reveals tumor cell and endothelial cell heterogeneity in breast cancer xenografts.

Authors:  Princess I Imoukhuede; Aleksander S Popel
Journal:  Cancer Med       Date:  2014-01-22       Impact factor: 4.452

6.  Nonlinear digital signal processing in mental health: characterization of major depression using instantaneous entropy measures of heartbeat dynamics.

Authors:  Gaetano Valenza; Ronald G Garcia; Luca Citi; Enzo P Scilingo; Carlos A Tomaz; Riccardo Barbieri
Journal:  Front Physiol       Date:  2015-03-13       Impact factor: 4.566

Review 7.  General guidelines for biomedical software development.

Authors:  Luis Bastiao Silva; Rafael C Jimenez; Niklas Blomberg; José Luis Oliveira
Journal:  F1000Res       Date:  2017-03-15

8.  Magneto acoustic tomography with short pulsed magnetic field for in-vivo imaging of magnetic iron oxide nanoparticles.

Authors:  Leo Mariappan; Qi Shao; Chunlan Jiang; Kai Yu; Shai Ashkenazi; John C Bischof; Bin He
Journal:  Nanomedicine       Date:  2015-12-02       Impact factor: 5.307

9.  Quantitative characterization of cellular membrane-receptor heterogeneity through statistical and computational modeling.

Authors:  Jared C Weddell; P I Imoukhuede
Journal:  PLoS One       Date:  2014-05-14       Impact factor: 3.240

  9 in total

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