Vanderbilt, Chad

A clinical benchmark of public self-supervised pathology foundation models

Campanella, G., Chen, S., Singh, M., Verma, R., Muehlstedt, S., Zeng, J., Stock, A., Croken, M., Veremis, B., Elmas, A., et al. (2025) · Nature Communications

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 126

Real-world deployment of a fine-tuned pathology foundation model for lung cancer biomarker detection

Campanella, G., Kumar, N., Nanda, S., Singi, S., Fluder, E., Kwan, R., Muehlstedt, S., Pfarr, N., Schüffler, P. J., Häggström, I., et al. (2025) · Nature Medicine

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 69

Antibiotics are associated with worse outcomes in lung cancer patients treated with chemotherapy and immunotherapy

Elkrief, A., Méndez-Salazar, E. O., Maillou, J., Vanderbilt, C. M., Gogia, P., Desilets, A., Messaoudene, M., Kelly, D., Ladanyi, M., Hellmann, M. D., et al. (2024) · npj Precision Oncology

Cancer Immunotherapy and BiomarkersLung Cancer Diagnosis and Treatment

Cited by 68

Computational Pathology at Health System Scale -- Self-Supervised Foundation Models from Three Billion Images

Campanella, G., Kwan, R., Fluder, E., Zeng, J., Stock, A., Veremis, B., Polydorides, A. D., Hedvat, C., Schoenfeld, A., Vanderbilt, C., et al. (2023) · arXiv

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 15

Computational biomarker predicts lung ICI response via deep learning-driven hierarchical spatial modelling from H&E

Xie, C., Vanderbilt, C., Feng, C., Ho, D., Campanella, G., Egger, J., Plodkowski, A., Girshman, J., Sawan, P., Arbour, K., et al. (2022) · Research Square

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 8