Stanford researchers have developed a new machine learning method for extracting gait parameters, such as cadence, step length, peak knee flexion, and Gait Deviation Index (GDI), from a single video.
Stanford researchers at the Pratx Lab have developed a new trajectory reconstruction method for tracking moving sources labeled with positron-emitting radionuclides using PET.
Stanford researchers have developed a versatile computational approach for easily visualizing and analyzing multidimensional molecular data, such as flow cytometry data.