SUMMARY
The research of Cyril Varghese, M.D., M.S., bridges medicine and technology by focusing on developing, validating and testing machine learning tools to diagnose and treat pulmonary diseases. Dr. Varghese studies radiomics-based scoring systems for lung cancer risk stratification and advances voice analytics to predict different aspects of pulmonary physiology. His multidisciplinary lab integrates experts with domain knowledge in various disciplines, including:
- Speech and voice science.
- Ear, nose and throat.
- Pulmonary medicine.
- Engineering.
Dr. Varghese's research team aims to individualize patient care in pulmonary medicine by analyzing biometric signals such as voice, imaging and clinical data.
Focus areas
- Voice analytics for predicting pulmonary physiology. Dr. Varghese's research focuses on developing machine learning models that use voice samples to predict pulmonary pathophysiology. This approach aims to provide clinicians with noninvasive tools to find and address pulmonary diseases earlier.
- Machine learning for lung cancer diagnosis. Dr. Varghese develops and validates radiomics classifiers that differentiate benign from malignant pulmonary nodules, outperforming traditional clinical prediction models. His work supports more-accurate and individualized care decisions for patients with indeterminate lung nodules.
- Treatment of fibrosing mediastinitis. Dr. Varghese's clinical research explores the effectiveness of medical treatments for fibrosing mediastinitis, a progressive fibrosing condition that affects the mediastinum in young patients.
Significance to patient care
Dr. Varghese's research gives care teams better tools to find lung diseases early and accurately. He uses artificial intelligence to study images and voices, helping create treatments that fit each person, cut down on invasive procedures and fill gaps in today's care. These new tools can help medical teams find health conditions sooner and give better care, which can lead to better outcomes and quality of life.
Professional highlights
- KL2 Career Development Award, National Institutes of Health, 2023-2026.
- Mayo Clinic:
- Teacher of the Year for pulmonary, critical care and sleep medicine, Internal Medicine Residency, 2024.
- Teaching Excellence Award, Mayo Clinic Alix School of Medicine, 2023.
- Teacher of the Year for research, Mayo Fellows' Association, 2023.
- Golden Apple Award for Teaching, Mayo Clinic Alix School of Medicine, 2022, 2023.
- Course director, Pulmonary Block, Mayo Clinic Alix School of Medicine, 2021-2023.
- Afessa Award for Best Quality Improvement Project, 2019.
- American Thoracic Society:
- Abstract Scholarship, Assembly on Thoracic Oncology, 2019.
- Fellows Track Symposium, 2019.
- Solitary Lung Nodule Fellow, American College of Chest Physicians, 2019.