Boehm, Kevin M.

Harnessing multimodal data integration to advance precision oncology

Boehm, K. M., Khosravi, P., Vanguri, R., Gao, J., & Shah, S. P. (2022) · Nature Reviews Cancer

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

Cited by 662

Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer

Vanguri, R. S., Luo, J., Aukerman, A. T., Egger, J. V., Fong, C. J., Horvat, N., Pagano, A., Araujo-Filho, J. D. A. B., Geneslaw, L., Rizvi, H., et al. (2022) · Nature Cancer

Cancer Immunotherapy and BiomarkersRadiomics and Machine Learning in Medical Imaging

Cited by 395

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Boehm, K. M., Aherne, E. A., Ellenson, L., Nikolovski, I., Alghamdi, M., Vázquez-García, I., Zamarin, D., Long Roche, K., Liu, Y., Patel, D., et al. (2022) · Nature Cancer

Ovarian cancer diagnosis and treatmentRadiomics and Machine Learning in Medical Imaging

Cited by 357

Automated Real-World Data Integration Improves Cancer Outcome Prediction

Jee, J., Fong, C., Pichotta, K., Tran, T. N., Luthra, A., Waters, M., Fu, C., Altoe, M., Liu, S.-Y., Maron, S. B., et al. (2024) · Nature

Machine Learning in HealthcareCancer Genomics and Diagnostics

Cited by 188