Ehab Billatos, MD

Assistant Professor, Boston University Chobanian & Avedisian School of Medicine

Biography

Dr. Billatos is the Principal Investigator for the DECAMP consortium (Detection of Early Cancer Among Military Personnel) which aims to improve the early diagnosis of lung cancer via biomarker validation and development from minimally invasive specimens. This is a multi-center trial sponsored by the Department of Defense, the National Cancer Institute, Johnson and Johnson, and Novartis pharmaceuticals.

Dr. Billatos also serves in several clinical roles including the Director of Inpatient Pulmonary Clinical Services, the Director of the Pleural Disease Service, and the Assistant Director of Bronchoscopy at Boston University Medical Center.

Publications

  • Published 10/10/2025

    Souery WN, Billatos E, Elalami R, San José Estépar R, Cho MH, Diaz AA, Lenburg ME. Mucus Plugs-associated Gene Expression Identifies Pathophysiology Shared with Chronic Bronchitis. Am J Respir Crit Care Med. 2025 Oct 10. PMID: 41072469.

    Read at: PubMed

  • Published 6/12/2025

    Xu L, Kefella Y, Zhang Y, Conrad RD, Anderson KE, Krysan K, Liu G, Kane E, Pennycuick A, Janes SM, Reid ME, Burks EJ, Billatos E, Mazzilli SA, Kolachalama VB, Beane JE. Attention-based deep learning for analysis of pathology images and gene expression data in lung squamous premalignant lesions. medRxiv. 2025 Jun 12. PMID: 40585088.

    Read at: PubMed

  • Published 3/25/2025

    Van Lewen D, Lu Y, Juliá-Wise F, Vasowalla A, Wu C, Yeo J, Billatos E, Russo S. A Real-Time, Semi-Autonomous Navigation Platform for Soft Robotic Bronchoscopy. IEEE Robot Autom Lett. 2025 May; 10(5):4722-4729. PMID: 40969572.

    Read at: PubMed

  • Published 11/27/2024

    Smyth R, Billatos E. Novel Strategies for Lung Cancer Interventional Diagnostics. J Clin Med. 2024 Nov 27; 13(23). PMID: 39685665.

    Read at: PubMed

  • Published 8/26/2024

    Xiao D, Kammer MN, Chen H, Woodhouse P, Sandler KL, Baron AE, Wilson DO, Billatos E, Pu J, Maldonado F, Deppen SA, Grogan EL. Assessing the transportability of radiomic models for lung cancer diagnosis: commercial vs. open-source feature extractors. Transl Lung Cancer Res. 2024 Aug 31; 13(8):1907-1917. PMID: 39263016.

    Read at: PubMed

View All 30 Publications:   View Full Profile in BUMC

Other Positions

  • Member, Pulmonary Center
    Boston University

Websites

Education

  • University of Texas at Austin, MD
  • University of Texas at Austin, BS

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