November 27 - December 4, 2020
November 27 - December 4, 2020 (Virtual)
2020 MRS Spring/Fall Meeting

Symposium S.SM09-Advances in 3D Printing for Medical Applications

3D printing, also known as additive manufacturing and solid freeform fabrication, involves additive layer-by-layer fabrication of a three-dimensional structure through selective joining of material; processing of the structure is directed by a computer-aided design model. In recent years, fused deposition modeling,stereolithography apparatus, selective laser sintering, laser induced forward transfer, and bioprinting technologies have been used to create patient-specific prostheses, medical devices, and artificial tissues. For example, data obtained from computed tomography, magnetic resonance imaging, or other medical imaging modalities may be used as input data for 3D printers to prepare prostheses, orthoses, or artificial tissues with patient- specific geometries or other patient-specific features. Appropriate chemical and physical features incorporated within 3D printed structures or bioprinted structures to modulate biological activity are inherent advances that could be provided by additive manufacturing approaches. Current challenges associated with the use of 3D printing include (a) the development of novel materials that can be processed rapidly, reproducibly, and with high resolution, (b) the development of novel materials with appropriate biocompatibility over the anticipated lifetime of the medical device, (c) the development of novel materials with appropriate mechanical, chemical, corrosion, and/or tribological properties over the over the anticipated lifetime of the medical device, (d) the development of low cost materials and technologies for 3D printing, (e) development of diverse bio-inks for live cell deposition and tissue printing, and (f) generation of three dimensional human tissue mimics with cellular and material heterogeneity. This symposium will consider the development of new types of materials for 3D printing of medical devices as well as applications of 3D printed medical devices.

Topics will include:

  • Novel methods for 3D printing of medical devices
  • Development of new materials for 3D printing of medical devices
  • 3D printing of shape memory materials and other smart materials for medical applications
  • 3D printing of patient-specific medical devices
  • 3D printing of biomicrofluidic devices
  • 3D printing of “organ-on-chip” devices
  • 3D printing of pharmaceuticals and pharmaceutical devices
  • Validation of novel 3D printing processes for medical applications
  • Use of modeling approaches to understand 3D printing processes for medical applications
  • Development of low cost 3D printing processes
  • Translation of 3D printed medical devices into clinical use

Invited Speakers:

  • Karen Burg (University of Georgia, USA)
  • Phil Campbell (Carnegie Mellon University, USA)
  • Brett Conner (Youngstown State University, USA)
  • David Dean (The Ohio State University, USA)
  • Salil Desai (North Carolina Agriculture and Technical State University, USA)
  • Lucy Di Silvio (King's College London, United Kingdom)
  • Agustin Diaz (REM Surface Engineering, USA)
  • Alejandro Espinoza-Orías (Rush University Medical Center, USA)
  • John Hunter (LPW Technology, Inc., USA)
  • Wonho Jhe (Seoul National University, Republic of Korea)
  • Mayasari Lim (SE3D, USA)
  • Reese Myers (WishBone Medical, Inc., USA)
  • Neal Orringer (3D Systems, USA)
  • Jayanthi Parthasarthy (Nationwide Children's Hospital, USA)
  • Ankit Saharan (EOS, USA)
  • Wei Sun (Drexel University, USA)
  • Min Wang (The University of Hong Kong, Hong Kong)
  • Wai Yee Yeong (Nanyang Technological University, Singapore)

Symposium Organizers

Roger Narayan
North Carolina State University
USA

Susmita Bose
Washington State University
USA

Richard Hague
University of Nottingham
United Kingdom

Jayme Keist
The Pennsylvania State University
USA

Topics

biomedical devices environmentally protective ink-jet printing Magnetic microelectronics nanostructure sensor