Area of research
Radiology, Nuclear Medicine and Imaging · Genetics
Research interest
Research interests include Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, Mathematical Biology Tumor Growth, and Bioinformatics and Genomic Networks.
Leveraging wastewater sequencing to strengthen global public health surveillance
Remote smartphone monitoring of Parkinson’s disease and individual response to therapy
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
Patient-Specific Metrics of Invasiveness Reveal Significant Prognostic Benefit of Resection in a Predictable Subset of Gliomas
Discriminating Survival Outcomes in Patients with Glioblastoma Using a Simulation-Based, Patient-Specific Response Metric
Response Classification Based on a Minimal Model of Glioblastoma Growth Is Prognostic for Clinical Outcomes and Distinguishes Progression from Pseudoprogression