“Deep Learning for Multiple Sclerosis Differentiation Using Multi-Stride Dynamics in Gait” by Rachneet Kaur, Joshua Levy, Robert W. Motl, Richard Sowers, Manuel E. Hernandez has appeared in the IEEE Transactions on Biomedical Engineering.

Congratulations, Rachneet Kaur, for successfully defending her Ph.D. thesis Gait Data and Machine Learning: From Clinical Data to Knowledge.

Congratulations, Rachneet Kaur for starting a position as Research Scientist at JP Morgan.

“A Vision-Based Framework for Predicting Multiple Sclerosis and Parkinson’s Disease Gait Dysfunctions – A Deep Learning Approach” by Rachneet Kaur, Robert Motl, Richard Sowers, and Manuel E. Hernandez has appeared in the IEEE Journal of Biomedical and Health Informatics .

Press:

https://news.illinois.edu/view/6367/1252470548

Advancing Medical Diagnosis with Machine Learning and Digital Cameras

New Gait Analysis Tool Found to Correctly ID MS Patients in Videos

https://spectrum.ieee.org/ai-diagnostics

“Near-collision dynamics in a noisy car-following model” by Hossein Nick Zinat Matin and Richard B. Sowers has been accepted for publication at the SIAM Journal on Applied Mathematics.