Presenters at the May 18, 2022 Mini-Symposium:
- John Sperger: Precision medicine overview and SMART trial designs and how those can be used with ML methods to infer precision medicine decision support
- Graduate student, Department of Biostatistics
- Katharine McGinigle MD/MPH & Nikki Freeman: Precision medicine machine learning analytics to improve PAD treatment decisions and outcomes
- Associate Professor, Department of Surgery (McGinigle) and Graduate student, Department of Biostatistics (Freeman)
- Michael Adams MD & Kushal Shah: Machine learning with EHR data: Addressing diagnostic odysseys among pediatric patients with rare genetic diseases
- Clinical Fellow, School of Medicine, Department of Pediatrics (Adams) and Graduate student, Department of Biostatistics (Shah)