Innovation continues to thrive at the Weldon School. Each patent represents a step forward in solving real-world challenges through engineering and science. In December, faculty secured patents that advance medical imaging and data analysis. These breakthroughs show how Purdue BME transforms ideas into impact. 

System and Methods for Machine Learning-Driven Contouring Cardiac Ultrasound Data 

Inventor: Craig Goergen 
Cardiac ultrasound is a vital tool for diagnosing heart conditions, but interpreting the data can be complex. This patent introduces a machine learning-driven system that automatically contours cardiac ultrasound images. By improving accuracy and reducing interpretation time, this innovation supports faster and more reliable cardiac assessments, helping clinicians make better decisions for patient care. 

Analyzing Complex Single-Molecule Emission Patterns with Deep Learning 

Inventor: Fang Huang 
Understanding molecular behavior is key to advancing biomedical research. This patent uses deep learning to analyze complex single-molecule emission patterns, providing insights that were previously difficult to capture. By leveraging artificial intelligence, this approach accelerates discoveries in molecular imaging and diagnostics, paving the way for breakthroughs in personalized medicine and drug development. 

Innovation That Matters 

From improving cardiac imaging to advancing molecular analysis, these patents reflect Purdue BME’s commitment to solving problems that matter. Each invention is more than an idea—it’s a step toward a healthier, smarter and more connected future. 

Read more about these patents and other Purdue innovations at Purdue Innovates: 
https://stories.prf.org/december-edition-newly-issued-patents-25/