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Emerging Technologies 2018 Session Listing

The program is subject to change in the weeks leading up to the conference. Check back here for the latest schedule, or follow us on Twitter External link symbol for real-time notice of updates to the program.

We plan to have a firm program available no later than February 5, 2018.

Session D3: Medical Technologies

Start Time: 13:30, Thursday, May 10
Room: TBD
Chaired by William Barber, DxRay, Inc. (

  • Thomas Webster, Northeastern University (

    Design, fabricating, and commercializing in-the-body nano sensors: the future of health

  • Fabio Di Francesco, Università di Pisa (

    Minimally invasive health monitoring

  • Roger Narayan, University of North Carolina (

    Laser processing of medical microsystems

    Over the past decade, we have examined use of two photopolymerization-based additive manufacturing technologies, including digital micromirror device-based stereolithography and two photon polymerization, to create small-scale hollow needle-shaped structures known as microneedles for transdermal drug delivery and transdermal sensing. For example, we utilized additive manufacturing techniques to prepare hollow microneedles that can be used to facilitate interaction between an electrochemical sensor and subsurface tissues. Several types of sensors have been integrated with arrays of hollow microneedles. Multiplexed microneedle-based sensors may potentially be used for detection of physiologically-relevant molecules. Current efforts to improve microneedle sensor design and facilitate clinical translation will be considered.

  • Francois Rivet, Université de Bordeaux (

    Intra-body communications - why not use ultrasounds instead of radio frequency

    Intra-body area network will enable healthcare applications. Sensors and actuators are supposed to be interconnected thanks to wireless communications. But radio frequency (RF) are limited when intra body communications are concerned. This presentation investigates ultrasonic waves as an alternative wireless carrier of information. Indeed, many studies have shown that water and biological environments are most suited to propagating ultrasonic waves. Our goal is to characterize how ultrasonic waves propagate in the human body for intra-body communications. We present trade off in terms of frequency and dimensions of the transmitter based on theory, simulations and experimental setup demonstration.

  • Soojin Lee, University of British Columbia (

    Engineering approaches to non-invasive electrical stimulation of the brain: application to Parkinson’s disease

  • Ferruccio Pisanello, Istituto Italiano di Tecnologia (

    Micro and nanotechnologies for multipoint control of neural activity in deep brain regions

    The possibility to optically interface with the mammalian brain is allowing for unprecedented investigations of functional connectivity of neural circuitry. A new generation of optical neural interfaces is being developed, mainly thanks to the exploitation of micro and nanotechnologies. After reviewing recent advances in this framework, the presentation will focus on a new technology to obtain multisite optical control of neural activity in deep brain regions. It is based on modal demultiplexing properties of tapered optical fibers to adapt light delivery depth to the size of functional structures and to obtain spatial-resolved optogenetic control of neural activity in sub- cortical regions such as the striatum or the thalamus. Depending on the geometry of the volume of interest, the light-confinement properties of the tapered optical fiber can be engineered to obtain both site-selective or wide-volume light delivery, allowing for unprecedented flexibility in in vivo experiments on rodents. The simplicity of this technique, together with its versatility, reduced invasiveness and compatibility with both laser and LED sources, indicate this approach can greatly complement the set of existing tools for light delivery in optogenetic experiments.



  • Ross Walker, University of Utah (

    Direct neural interfaces for medical and non-medical applications

  • Shiva Abbaszadeh, University of Illinois at Urbana-Champaign (

  • Mirza Faisal Beg, Simon Fraser University (

  • Bonnie Gray, Simon Fraser University (

  • Kullervo Hynynen, University of Toronto (

  • XiuJun Li, University of Texas, El Paso (

  • Diego Mantovani, Université Laval (

  • Houman Zarrabi, Concordia University (


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