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January 2026

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Neuromusculoskeletal Modeling Pipeline Webinar, FAIR Center Pilot Projects, and more
by Matthew Petrucci 15 Jan '26

15 Jan '26

Webinar on Neuromusculoskeletal Modeling Pipeline January 29, 2026, 9:00 AM PT We are pleased to announce our upcoming webinar with B.J. Fregly from Rice University entitled “A Hands-on Guide to the NMSM Pipeline for Treatment Design.” Designing optimal orthopedic surgery, physical rehabilitation, and neurorehabilitation interventions using “digital twins” of individual patients is an important goal of neuromusculoskeletal modeling. The open-source Matlab-based Neuromusculoskeletal Modeling (NMSM) Pipeline software was developed specifically to achieve this goal by adding Model Personalization and Treatment Optimization toolsets to the musculoskeletal modeling software OpenSim<https://opensim.stanford.edu/>. In this webinar, Dr. Fregly will provide a hands-on guide to the pipeline, including a sequence of hands-on tutorials to perform Model Personalization and Treatment Optimization steps to predict how a former collegiate soccer player should modify his soccer kicking motion to make the ball go farther. This event will be hosted jointly by the <http://mobilize.stanford.edu/> Mobilize<http://mobilize.stanford.edu/>, <http://restore.stanford.edu/> Restore<http://restore.stanford.edu/>, and FAIR<http://faircenter.stanford.edu/> Centers on Thursday, January 29, 2026, at 9:00 AM Pacific Time. Learn more and register<https://mobilize.stanford.edu/webinar-a-hands-on-guide-to-the-nmsm-pipeline…> | Read the paper<https://jneuroengrehab.biomedcentral.com/articles/10.1186/s12984-025-01629-5> Call for 2026 FAIR Center Pilot Project Proposals Application Deadline: March 27, 2026 We are excited to announce the first call for FAIR Center<http://faircenter.stanford.edu/> pilot project proposals. The pilot project program awards seed grants to innovative and meritorious projects that will accelerate the use of AI tools in rehabilitation research. Applicants can request up to $35,000 in funding. The program supports research projects that use or extend tools disseminated by the FAIR Center, including OpenCap, AddBiomechanics, GaitDynamics, and OpenSim. Learn more and apply<https://faircenter.stanford.edu/pilot-funding/pilot-project-application/> Learn from Centers’ Software Team at GCMAS and ISB Receive guidance from the Restore<http://restore.stanford.edu/>, FAIR<http://faircenter.stanford.edu/>, and Mobilize<http://mobilize.stanford.edu/> Center team in upcoming conference workshops focused on OpenCap<http://opencap.ai/> (software for measuring human movement using smartphone videos), AddBiomechanics<http://addbiomechanics.org/> (cloud-based software for computing inverse kinematics and dynamics from marker-based motion capture data), and AI tools. Join us to learn how to utilize these tools for your research. OpenCap and AddBiomechanics: Tools for Large-Scale and Accessible Biomechanics Highlighted Tools: OpenCap, AddBiomechanics June 9-13, 2026 Gait and Clinical Movement Analysis Society (GCMAS) Annual Conference<https://na.eventscloud.com/website/87479/home/> Phoenix, Arizona Accelerating the Use of Artificial Intelligence to Analyze Human Motion: Hands-on Tutorial and Discussion Highlighted Tools: OpenCap, AddBiomechanics, AI tools July 11-16, 2026 World Congress of Biomechanics<https://wcb2026.com/> Vancouver, British Columbia, Canada 3D-PASS: a score based on 3D anatomy to describe kneecap instability severity Current clinical scores for predicting patellar instability treatment outcomes rely on 2D imaging measurements that do not fully describe 3D anatomy. Marissa Sinopoli and a team of Mobilize Center<http://mobilize.stanford.edu/> researchers at Stanford University developed a novel 3D medical imaging-based anatomical score for patellar instability. The team analyzed magnetic resonance images from 270 participants with and without patellar instability to derive 3D measures. The resulting 3D-Patellar Instability Anatomical Severity Score (3D-PASS) best correlated with patient-reported outcomes. This technique can use any 3D scan of the bony anatomy and has the potential to help identify patients who may or may not benefit from surgery or other interventions. Read publication<https://journals.sagepub.com/doi/10.1177/23259671251362675> — OpenSim, OpenCap, AddBiomechanics, and related AI tools are supported by the Mobilize Center<https://mobilize.stanford.edu/>, an NIH Biomedical Technology Resource Center (grant P41 EB027060); the Restore Center<https://restore.stanford.edu/>, an NIH-funded Medical Rehabilitation Research Resource Network Center (grant P2C HD101913); the FAIR Center<http://faircenter.stanford.edu/>, an NIH-funded Medical Rehabilitation Research Resource Network Center (grant P50 HD118632); and the Wu Tsai Human Performance Alliance <https://humanperformancealliance.org/> through the Joe and Clara Tsai Foundation. No longer want to receive these emails? Go to the OpenSim mailing list page<https://simtk.org/mail/index.php?group_id=91> and click “unsubscribe” from the opensim-announcement mailing list. You will need to log in, if you haven’t already done so.

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