Maldonado, Fabien
Open Protocols
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No publications found at the present moment.Interests
- Development and evaluation of advanced bronchoscopic approaches to diagnosis and treatment of lung cancer and the development and assessment of novel imaging biomarkers for thoracic malignancies
- Dr. Fabien Maldonado’s main research interests are in the development and evaluation of advanced bronchoscopic approaches to diagnosis and treatment of lung cancer and the development and assessment of novel imaging biomarkers for thoracic malignancies. His areas of research expertise include radiomics and machine learning as well as pragmatic clinical trials. His laboratory developed a number of imaging biomarkers such as CANARY (Computer Aided Nodule Assessment and Risk Yield) using quantitative imaging based on chest CT imaging to risk-stratify lung adenocarcinomas, and BRODERS (Benign versus aggressive nodule evaluation using radiomic stratification), which facilitates the non-invasive characterization of peripheral lung nodules. As part of an NCI-funded project, Dr. Maldonado and his lab are leveraging data from the electronic health record to model the probability of malignant lung nodules in combination with novel deep learning-based radiomic approaches (delta radiomics) and temporal trends in a blood-based biomarker (CYFRA21-1 measured by compensated interferometer). His lab has also developed expertise in pragmatic clinical trials in the field of lung biopsy and they are currently conducting the first investigator initiated multicenter clinical trial comparing navigational bronchoscopy to CT-guided biopsy (VERITAS, NCT05705544) as well as the first clustered randomized control trial comparing robotic to electromagnetic navigational bronchoscopy (RELIANT, NCT05705544).
To update protocols, publications, biomarkers, or science data, please contact the Data Management and Coordinating Center.
- Site
- Vanderbilt University Medical Center
- No email set
- Person ID
-
5055
- EDRN Title
- Co-Investigator
- Note
- To update contact information, please visit the Data Management and Coordinating Center .