| Dietary methionine influences therapy in mouse cancer models and alters human metabolism X Gao, SM Sanderson, Z Dai, MA Reid, DE Cooper, M Lu, JP Richie, ... Nature, 1, 2019 | 474 | 2019 |
| Toward robust mammography-based models for breast cancer risk A Yala, PG Mikhael, F Strand, G Lin, K Smith, YL Wan, L Lamb, K Hughes, ... Science Translational Medicine 13 (578), 2021 | 133 | 2021 |
| Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, ... Journal of Clinical Oncology, JCO. 21.01337, 2021 | 101 | 2021 |
| Sybil: a validated deep learning model to predict future lung cancer risk from a single low-dose chest computed tomography PG Mikhael, J Wohlwend, A Yala, L Karstens, J Xiang, AK Takigami, ... Journal of Clinical Oncology, JCO. 22.01345, 2023 | 69 | 2023 |
| Optimizing risk-based breast cancer screening policies with reinforcement learning A Yala, P Mikhael, C Lehman, G Lin, F Strand, YL Wang, K Hughes, ... | 48 | 2021 |
| Nutrient availability shapes methionine metabolism in p16/MTAP-deleted cells SM Sanderson, PG Mikhael, V Ramesh, Z Dai, JW Locasale Science Advances 5 (6), eaav7769, 2019 | 26 | 2019 |
| Dietary methionine restriction targets one carbon metabolism in humans and produces broad therapeutic responses in cancer X Gao, SM Sanderson, Z Dai, MA Reid, DE Cooper, M Lu, JP Richie, ... bioRxiv, 627364, 2019 | 8 | 2019 |
| Ductal carcinoma in situ on digital mammography versus digital breast tomosynthesis: rates and predictors of pathologic upgrade G Kim, PG Mikhael, TO Oseni, M Bahl European Radiology, 1-10, 2020 | 7 | 2020 |
| Distinct chemical environments in biomolecular condensates HR Kilgore, PG Mikhael, KJ Overholt, A Boija, NM Hannett, ... Nature chemical biology, 1-11, 2023 | 6 | 2023 |
| Artificial Intelligence and Machine Learning in Lung Cancer Screening SJ Adams, P Mikhael, J Wohlwend, R Barzilay, LV Sequist, FJ Fintelmann Thoracic Surgery Clinics, 2023 | 6 | 2023 |
| Dietary methionine links nutrition and metabolism to the efficacy of cancer therapies X Gao, SM Sanderson, Z Dai, MA Reid, DE Cooper, M Lu, JP Richie Jr, ... Nature 572 (7769), 397, 2019 | 6 | 2019 |
| Predictive targeting of mitochondrial metabolism in Acute Myeloid Leukemia patients with a lipoic acid analog MA Reid, S Bose, KM Pladna, R Anderson, PG Mikhael, Z Xiao, Z Dai, ... medRxiv, 2021 | 1 | 2021 |
| Environmental factors shape methionine metabolism in p16/MTAP deleted cells SM Sanderson, P Mikhael, Z Dai, JW Locasale bioRxiv, 313288, 2018 | 1 | 2018 |
| CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes PG Mikhael, I Chinn, R Barzilay arXiv preprint arXiv:2402.06748, 2024 | | 2024 |
| Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography J Simon, P Mikhael, I Tahir, A Graur, S Ringer, A Fata, YCF Jeffrey, ... Scientific Reports 13 (1), 18611, 2023 | | 2023 |
| Artificial Intelligence Risk Model (Mirai) Delivers Robust Generalization and Outperforms Tyrer-Cuzick Guidelines in Breast Cancer Screening Reply A Yala, PG Mikhael, K Hughes, R Barzilay JOURNAL OF CLINICAL ONCOLOGY 40 (20), 2281-+, 2022 | | 2022 |
| Reply to M. Eriksson et al and Z. Jin et al A Yala, PG Mikhael, K Hughes, R Barzilay Journal of clinical oncology: official journal of the American Society of …, 2022 | | 2022 |
| Disruption of mitochondrial metabolism underlies the efficacy of devimistat in acute myeloid leukemia MA Reid, S Bose, Z Xiao, PG Mikhael, J Liu, JW Locasale, TS Pardee Cancer Research 80 (16 Supplement), 5709-5709, 2020 | | 2020 |
| p16/MTAP status as a model for investigating gene-environment interactions in metabolism SM Sanderson, P Mikhael, Z Dai, JW Locasale Cancer Research 78 (13 Supplement), 388-388, 2018 | | 2018 |
