Ross, Ashley E.

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

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High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program

Labbé, D. P., Zadra, G., Yang, M., Reyes, J. M., Lin, C. Y., Cacciatore, S., Ebot, E. M., Creech, A. L., Giunchi, F., Fiorentino, M., et al. (2019) · Nature Communications

Cancer, Lipids, and MetabolismProstate Cancer Treatment and Research

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External validation of a digital pathology-based multimodal artificial intelligence architecture in the NRG/RTOG 9902 phase 3 trial

Ross, A. E., Zhang, J., Huang, H.-C., Yamashita, R., Keim-Malpass, J., Simko, J. P., DeVries, S., Morgan, T. M., Souhami, L., Dobelbower, M. C., et al. (2024) · European Urology Oncology

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

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Development and Validation of a Prostate Cancer Genomic Signature that Predicts Early ADT Treatment Response Following Radical Prostatectomy

Karnes, R. J., Sharma, V., Choeurng, V., Ashab, H. A.-D., Erho, N., Alshalalfa, M., Trock, B., Ross, A., Yousefi, K., Tsai, H., et al. (2018) · Clinical Cancer Research

Prostate Cancer Treatment and ResearchProstate Cancer Diagnosis and Treatment

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