MindTrace is developing a machine learning platform that integrates brain imaging and behavioral data to simulate neurosurgical plans and predict cognitive outcomes before surgery. This technology addresses the uncertainty patients face regarding their post-operative cognitive function, providing clinicians with data-driven insights to enhance surgical planning and improve patient confidence.
Funding
$680K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Neurosurgical planning relies on traditional methods that often fail to fully account for individual brain variability, leading to uncertainty in predicting post-operative cognitive outcomes. Patients undergoing neurosurgery face the risk of unexpected cognitive deficits due to imprecise surgical plans that do not adequately simulate the impact on critical brain functions.
Solution
MindTrace offers a machine-learning platform designed to simulate neurosurgical plans and predict cognitive outcomes by integrating brain imaging and behavioral data. The platform leverages a proprietary Mind Tracing™ technology to generate predictions of sensory, cognitive, and motor abilities before the first incision. By modeling the impact of surgical interventions on individual brain networks, MindTrace provides neurosurgeons with data-driven insights to optimize surgical plans and minimize potential cognitive impairments. The software integrates into existing clinical workflows, reducing the time spent on data compilation and analysis, and ultimately enhancing patient confidence through personalized surgical planning.
Target Audience
The primary users are neurosurgeons and hospitals seeking to improve surgical planning and reduce the risk of post-operative cognitive deficits in patients undergoing neurosurgery.
Features
- Machine learning algorithms that simulate the impact of surgical plans on cognitive function.
- Integration of brain imaging and behavioral data to create personalized brain models.
- Prediction of post-operative sensory, cognitive, and motor abilities.
- Seamless integration into existing clinical workflows.
- Reduction of personnel time spent on testing, compiling, and analyzing brain imaging and behavioral data sets.