Funded Research Projects
NeuroHealth | Neuroscience:Translate
Lead Researcher(s): Christopher Lee-Messer, MD, PhD, Daniel Rubin
Current automated seizure detection software is slow, inaccurate and rarely precise enough for clinicians to rely upon. This project aims to use cutting-edge AI methods to develop a powerful new algorithm that will enable better seizure diagnosis and treatment plan formation.
NeuroHealth | Neuroscience:Translate
Lead Researcher(s): Sean Mackey, M.D., Ph.D., Mark J. Schnitzer
In light of the dual public health crises of chronic pain and opioids, there is an urgent need to develop non-addictive alternative therapies for chronic pain. This project's goal is to develop a new protocol for transcranial magnetic stimulation — a non-invasive method of neuromodulation — that is...
NeuroEngineering | Neuroscience:Translate
Lead Researcher(s): Allison Okamura, Maarten Lansberg, MD, PhD
This team is developing wearable stimulation devices to improve limb function after stroke. The technology includes a tactile stimulation method, and the wireless, lightweight, and low-cost wearable computing devices to apply this stimulation.
NeuroHealth | Neuroscience:Translate
Lead Researcher(s): Eric Kool, Katrin Andreasson
Acute brain inflammation after stroke and head trauma causes adverse health outcomes affecting millions of patients each year in the U.S., and current treatments are insufficient. This project will test a promising new therapy to reduce inflammation by targeting the enzyme OGG1, a potentially...
NeuroEngineering | Neuroscience:Translate
Recurrent dizziness attacks are a debilitating condition for 10% of the population during their lifetime, and can lead to a complete inability to function, and to multiple hospital admissions and investigations chasing many potential diagnoses. This project aims to address the unmet need for means...
NeuroHealth | Neuroscience:Translate
Lead Researcher(s): Dennis Wall, James Landay
System uses computer vision algorithms and emotion classifiers integrated into gameplay to detect emotion in the child’s face via the phone’s front camera to determine agreement with the displayed prompt, along with other features such as gaze, eye contact, and joint attention.
NeuroEngineering | Neuroscience:Translate
Lead Researcher(s): Sarah Heilshorn, Paul George, MD, PhD
Developing a protein-engineered nerve implant that mimics the biochemical and mechanical cues of native tissue in order to enhance the potential for neural regeneration following injury.
NeuroHealth | Neuroscience:Translate
Lead Researcher(s): Christopher Lee-Messer, MD, PhD, Daniel Rubin
Developing an automated seizure detection and localization system based on deep neural networks, EEG data, and real-time video with the goal to dramatically increase neurologist diagnostic capabilities while improving quality of care.
NeuroEngineering | Neuroscience:Translate
Lead Researcher(s): Nicholas Melosh, Jaimie Henderson, MD
The goal of the project is to develop this promising technology for clinical application, moving beyond new scientific insights and making a real-world impact.
NeuroEngineering | Neuroscience:Translate
Lead Researcher(s): Allison Okamura, Maarten Lansberg, MD, PhD
Project's stimulation method may provide a powerful tool to reduce disability after a stroke, and the wearable form factor allows users to receive intensive therapy during their normal daily routine
