Peter G. Mikhael

Massachusetts Institute of Technology — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

10h-index1.6kcitations25works11.82yr avg
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Research Topics

Cancer, Hypoxia, and Metabolism(7), Radiomics and Machine Learning in Medical Imaging(7), Lung Cancer Diagnosis and Treatment(6), AI in cancer detection(6), Global Cancer Incidence and Screening(5)

Publications25 total

Pillar-0: A New Frontier for Radiology Foundation Models
2025Open Access
PPD01.06: Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction using LDCT and the Open-Access Sybil Algorithm
Journal of Thoracic Oncology·2025
Protein codes promote selective subcellular compartmentalization
Science·2025· 55 cited
Significance of Image Reconstruction Parameters for Future Lung Cancer Risk Prediction Using Low-Dose Chest Computed Tomography and the Open-Access Sybil Algorithm
Investigative Radiology·2024· 1 citedOpen Access
Protein codes promote selective subcellular compartmentalization
2024· 8 citedOpen Access
CLIPZyme: Reaction-Conditioned Virtual Screening of Enzymes
arXiv (Cornell University)·2024· 7 citedOpen Access
MA19.03 Sex Differences in the Prediction of Future Lung Cancer Risk Based on a Single Low-Dose Chest Computed Tomography Scan
Journal of Thoracic Oncology·2023Open Access
Role of sex in lung cancer risk prediction based on single low-dose chest computed tomography
Scientific Reports·2023· 6 citedOpen Access
Author Correction: Distinct chemical environments in biomolecular condensates
Nature Chemical Biology·2023· 3 citedOpen Access
Distinct chemical environments in biomolecular condensates
Nature Chemical Biology·2023· 94 citedOpen Access
Artificial Intelligence and Machine Learning in Lung Cancer Screening
Thoracic surgery clinics/Thorac. surg. clin.·2023· 31 cited
Successful Development of a Natural Language Processing Algorithm for Pancreatic Neoplasms and Associated Histologic Features
Pancreas·2023· 1 cited
Sybil: A Validated Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography
Journal of Clinical Oncology·2023· 219 citedOpen Access
Optimizing risk-based breast cancer screening policies with reinforcement learning
Nature Medicine·2022· 93 cited
Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model
Journal of Clinical Oncology·2021· 166 citedOpen Access
Optimizing risk-based breast cancer screening policies with reinforcement learning
2021· 9 citedOpen Access
Predictive targeting of mitochondrial metabolism in Acute Myeloid Leukemia patients with a lipoic acid analog
2021· 1 citedOpen Access
Toward robust mammography-based models for breast cancer risk
Science Translational Medicine·2021· 242 cited
Abstract 5709: Disruption of mitochondrial metabolism underlies the efficacy of devimistat in acute myeloid leukemia
Cancer Research·2020
Ductal carcinoma in situ on digital mammography versus digital breast tomosynthesis: rates and predictors of pathologic upgrade
European Radiology·2020· 8 citedOpen Access
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Frequent Co-authors

Regina Barzilay(13), Jason W. Locasale(7), Adam Yala(7), Florian J. Fintelmann(7), Ziwei Dai(6), Gigin Lin(6), Lecia V. Sequist(6), Sydney M. Sanderson(5), Kevin S. Hughes(5), Michael A. Reid(4), Fredrik Strand(4), Constance D. Lehman(4), Henry R. Kilgore(4), Catherine Van Dongen(4), Tong Ihn Lee(4), Yung‐Liang Wan(3), Siddharth Satuluru(3), Thomas Kim(3), Imon Banerjee(3), Judy Wawira Gichoya(3)