Conduct Science (ConductVision fall detection)
1 Case Studies
A Conduct Science (ConductVision fall detection) Case Study
The customer, Huntington's Disease and Neurodegeneration Biomarker Research, required an automated method to score the severity of hindlimb clasping, a key neurological sign in rodent models of Huntington's disease and other neurodegenerative conditions. They partnered with the vendor, Conduct Science, to utilize its ConductVision automated behavioral analysis system for this task.
Conduct Science implemented its ConductVision solution, which uses pose estimation and supervised classification to automatically score clasping severity on a 0-3 scale, measure clasping latency and duration, and classify symmetric versus asymmetric clasping. The results provided automated, quantitative metrics for tracking disease progression and assessing therapeutic interventions, significantly accelerating the research team's biomarker analysis.
Huntington's Disease and Neurodegeneration Biomarker Research