Conferences and Webinars
AR3T
The 9th Annual International Symposium on Regenerative Rehabilitation
The 9th Annual International Symposium on Regenerative Rehabilitation was held in Austin, Texas, October 27-29, 2022 and brought together researchers, clinicians, and students from across the country and globe for an exciting 3 days of presentations, events, and networking. If you have not already done so, please fill out the Post-Symposium survey here so that we may build off of the success of this year’s meeting.
The Symposium on Regenerative Rehabilitation hosted a Regenerative Rehabilitation Pitch Competition, funded by AR3T. The winning pitch/applicant received $10,000 in funding to support novel directions in Regenerative Rehabilitation research. Congratulations to our Pitch Competition winners, Dr. Joseph Roche, Wayne State University, Dr. Ella D’Amico, University of Pittsburgh and Daniel Cottmeyer, Georgia State University.
Congratulations to the 9th Annual International Symposium on Regenerative Rehabilitation Poster Prize winners, Gabrielle Gilmer, University of Pittsburgh, Prakruthi Amar Kumar, Texas A&M University, and Ashley Tucker, Texas A&M University.
C-STAR
Upcoming Course: Art & Science of Creating Intuitive Devices
- January 19, 2023, 8:45 a.m. - 3:30 p.m. Central US Time
- This course will discuss human-centered design and how it’s applied to rehabilitation devices including prosthetics, wheelchairs and exoskeletons.
- Attendees will learn more about user interfaces and how human-centered design principles can be applied to create more intuitive devices.
- The day will end with a commercial panel of industry experts who will discuss their approach to design for the commercial market.
- Who Should Attend: Data Scientists, Engineers, MD/DO, OT, OTA, PT, PTA and RN
Register for this January course here.
C-STAR and Restore
Upcoming Course: Machine Learning & Sensors to Enhance Rehabilitation Research
- May 17, 2023, 9:30 a.m. - 5:15 p.m. Central US Time
- Over recent years, there has been an explosion of interest in wearable sensors, video, and computer vision for healthcare and patient monitoring. In this introductory course, we will take a practical approach to understand how machine learning and sensors can be applied in the rehabilitation field, pitfalls to avoid, how to get started and how these tools can create reliable digital biomarkers.
- Course Chairs:
- Arun Jayaraman, PT, Ph.D. Director, Max Näder Center for Rehabilitation Technologies & Outcomes Research; Director & Business Development Officer, Office of Translational Research, Associate Professor of PM&R, Medical Social Science, PTHMS, Northwestern University
- Joy Ku, Ph.D. Director of Promotions and Didactic Interactions for the NIH-funded Restore Center; Director of Education and Communications for the Mobilize Center; Manager of SimTK
- Eric Perreault, Ph.D. Professor of Biomedical Engineering at Northwestern University; Associate Dean for Research in Northwestern’s McCormick School of Engineering and Applied Sciences
- Matt Petucci, Ph.D. Research Engineer, Bioengineering. Program Manager, Mobilize and Restore Centers, Stanford University
- Who Should Attend: Data Scientists, Engineers, MD/DO, PT, PTA, OT, SLP, RN
Register for this May course here.
LeaRRn
WORKSHOP IN IMPLEMENTATION SCIENCE AND HEALTH SERVICES RESEARCH
Apply now to attend the 2023 Workshop in Implementation Science and Health Services Research (WISH): Advancing Grant Writing Skills for Rehabilitation Researchers! WISH will be held in Alexandria, VA from May 16 - 18, 2023. Applications are due January 16, 2023.
WEBINAR SERIES
Register now for our Spring Webinar Series on Informatics! Join us:
- January 12, 2023 for a Webinar by Michael Kahn, MD, PhD, “Data Quality and Hidden Influencers in Electronic Medical Record Data”
- January 20, 2023 for a Grand Rounds by Jacob Kean, PhD, “Electronic Health Record Repositories: Benefits and Challenges of Data Standardization in Rehabilitation”
- February 9, 2023 for a Webinar by Rachel Richesson, PhD, MPH, MS, FACMI, “Learning to Use EHR Data in Learning Health Systems: Focus on Compatible Phenotypes"
- February 17, 2023 for a Grand Rounds by Claire Kalpakjian, PhD, MS, “Designing Data Inputs that Matter: Building An Infrastructure in a Real-World Learning Health System”
- March 8, 2023 for a Webinar by Hadi Kharrazi MD, PhD, MS, “Population Health Informatics: What, how, and why?”
- March 22, 2023 for a Grand Rounds by Megan Morris, PhD, MPH, “Advancing Healthcare Equity for Persons with Disabilities through Documentation in the Electronic Health Record”
You can view all of LeaRRn's archived events now.
NC NM4R
2021-2022 Speaker Series
The next presentation will take place on December 7th, 2022 and will feature Dr. Flavio Frohlich and his talk "Fifteen Years of Entraining Brain Oscillations with Transcranial Alternating Current Stimulation: Past, Present, and Future"
Register for the NC NM4R Speaker Series here.
This series will explore diverse neuromodulation methods with a focus on rehabilitation. Researchers and clinicians of all career stages (including students and fellows), who are interested in neuromodulation and novel rehabilitation techniques, are invited. At each meeting, a speaker will present a topic, study, or grant proposal relating to the improvement of rehabilitation techniques through the use of neuromodulation. The attendees will have the opportunity to ask questions, exchange ideas and opinions, and develop informal discussions. This monthly meeting aims to present innovative ideas and cutting-edge methods for clinicians and researchers.
Learn more about the speaker series and view upcoming events, here.
Restore
Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions
Application Deadline: January 13, 2023, 5 PM local time
Office Hour Dates: January 30 - February 3, 2023
The Restore Center is pleased to announce they will be holding Virtual Office Hours January 30- February 3, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. There will be three tracks: 1) OpenCap or other video-based analysis of movement 2) OpenSim or other questions about biomechanical modeling, including via IMUs and 3) machine learning with time series or other movement/rehab data. All phases of a research project are supported, such as formulating a research question, choosing and planning appropriate methods, and addressing issues with carrying out the study. They welcome and encourage individuals to apply as a team, if relevant. Application deadline: January 13, 2023, 5 PM local time.
Learn more and apply
Access Resources from Webinar: OpenCap - Analyzing 3D Human Movement Dynamics using Smartphone Videos: Thank you to everyone who joined the Restore Center webinar series featuring Scott Uhlrich and Antoine Falisse from Stanford University. They presented an overview and tutorial of OpenCap - a freely-available, cloud-based tool that measures human movement using smartphone videos. The recordings of the research presentation and tutorial are now available. To learn more, read the publication, visit the website to start collecting data, and use the source and analysis codes from the tutorial to obtain kinematic and kinetic measures from your data.
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