Diagnostics & Imaging

Getting the right diagnosis is essential to getting the best treatment, but this can be difficult with kids, especially babies who can’t talk about their symptoms. New methods for detecting and quantifying disease in children, using a wide variety of non-invasive techniques, is a major area of research at Georgia Tech.   

Funded Projects

 Design and Development of Pressure Ulcer Prevention System (PUPS) for Infants

 PI’s: Sundaresan Jayaraman & Sungmee Park 

 

 

 

 Diffuse Correlation Spectroscopy for Quanitfication of Cerebral Henodynanics in Children with Sickle Cell

 PI's: Erin Buckley 

 

 

 Non-Invasive Diagnosis of Healthcare Resistance

 PI’s: David Ku 

 

 

 cicuCAD: Developing Early Cardiac Arrest Detection in the Pediatric Cardiac Intensive Care Unit Using BedMaster Streaming Data

 PI’s: May Wang & Kevin Maher 

 

 Evidence Based Cost Effective Diagnosis for Pediatric Cardiac Disease: A Machine Learning & Data Mining Approach

 PI’s: Hongyuan Zha 

 

 

 A-PEWS: Analytical Pediatric Early Warning System for Cardiac Intensive Care Units (CICU) 

 PI’s: May Wang 

 

 

 Novel Breath Sampling Device for Condensate and Analysis of Volatile Organic Compounds

 PI’s: Peter Hesketh 

 

 

 

 An Early Warning System for Non-Union of Pediatric Bone Fusion Devices

 PI’s: Nick WIllet 

 

 

 Toward Personalized Treatment for Osteochonritis Dissecans Based on Genomic and Micro-CT Imaging

 PI’s: Gregory Gibson 

 

 Sounds of the Joints: A New Biomarker for Juvenile Idiopathic Arthritis

 PI’s: Omer Inan