V. Gagliardi
Papers
1
Total Citations
34
H-Index
1
About
Dr. V. Gagliardi is a leading researcher in the intersection of medical physics, radiomics, and radiation oncology, with a primary focus on improving personalized cancer treatment through advanced imaging and machine learning. Her most impactful work addresses the challenge of predicting tumor response to stereotactic body radiation therapy (SBRT) for non-small cell lung cancer (NSCLC). In a highly cited 2021 study (34 citations), she pioneered a novel approach that integrates pre-treatment computed tomography (CT) image features with biologically effective dose (BED) data, leveraging both radiomics and deep learning. This combined methodology significantly outperformed models using CT or dose features alone, offering a powerful tool for treatment personalization. Dr. Gagliardi’s contributions are at the forefront of precision oncology, demonstrating how multimodal data fusion can enhance predictive accuracy. Her work has been instrumental in bridging the gap between imaging biomarkers and clinical dosimetry, with implications for optimizing robotic lung SBRT outcomes. With a growing citation impact, she continues to shape the future of AI-driven radiotherapy, making her a key figure in translational cancer research.
Research Focus
Key Achievements
Top Papers
- 1