Mikhael, Peter G.

Sybil: a validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography

Mikhael, P. G., Wohlwend, J., Yala, A., Karstens, L., Xiang, J., Takigami, A. K., Bourgouin, P. P., Chan, P., Mrah, S., Amayri, W., et al. (2023) · Journal of Clinical Oncology

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 288

Toward robust mammography-based models for breast cancer risk

Yala, A., Mikhael, P. G., Strand, F., Lin, G., Smith, K., Wan, Y.-L., Lamb, L., Hughes, K., Lehman, C., & Barzilay, R. (2021) · Science Translational Medicine

Digital Radiography and Breast ImagingAI in cancer detection

Cited by 287

Multi-institutional validation of a mammography-based breast cancer risk model

Yala, A., Mikhael, P. G., Strand, F., Lin, G., Satuluru, S., Kim, T., Banerjee, I., Gichoya, J., Trivedi, H., Lehman, C. D., et al. (2022) · Journal of Clinical Oncology

AI in cancer detectionDigital Radiography and Breast Imaging

Cited by 204

Optimizing risk-based breast cancer screening policies with reinforcement learning

Yala, A., Mikhael, P. G., Lehman, C., Lin, G., Strand, F., Wan, Y.-L., Hughes, K., Satuluru, S., Kim, T., Banerjee, I., et al. (2022) · Nature Medicine

AI in cancer detectionGlobal Cancer Incidence and Screening

Cited by 103

Protein codes promote selective subcellular compartmentalization

Kilgore, H. R., Chinn, I., Mikhael, P. G., Mitnikov, I., Van Dongen, C., Zylberberg, G., Afeyan, L., Banani, S. F., Wilson-Hawken, S., Lee, T. I., et al. (2025) · Science

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 99

Protein codes promote selective subcellular compartmentalization

Kilgore, H. R., Chinn, I., Mikhael, P. G., Mitnikov, I., Van Dongen, C., Zylberberg, G., Afeyan, L., Banani, S., Wilson-Hawken, S., Lee, T. I., et al. (2024) · Science

Machine Learning in BioinformaticsProtein Structure and Dynamics

Cited by 99