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1800 Orleans StreetBaltimore, MD 21287
Phone+1 410-955-5000
Fax+1 410-955-5001
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Summary
- Dr. Alexander Baras is The Director of Informatics for the Department of Pathology at the Johns Hopkins Hospital. He received his MD and PhD from the University of Virginia School of Medicine and has been in practice for 6 years. Clinically, he specializes in surgical pathology with a focus on genitourinary pathology. Additionally, he is an expert in informatics and machine learning in the areas of pathology imaging and bioinformatics.
Education & Training
- Johns Hopkins UniversityResidency, Pathology-Anatomic and Clinical, 2011 - 2014
- University of Virginia School of MedicineClass of 2011
Certifications & Licensure
- MD State Medical License 2013 - 2026
- American Board of Pathology Pathology - Anatomic
Awards, Honors, & Recognition
- Leon Troper Professor in Computational Pathology
Publications & Presentations
PubMed
- WITHDRAWN: Atypical Intraductal Proliferation (AIP) of the Prostate: Findings in Repeat Biopsy or Radical Prostatectomy in Patients who Met Pathologic Criteria for Act...Ruihe Lin, Huili Li, Ezra Baraban, Tamara Lotan, Angelo DeMarzo
Human Pathology. 2025-06-14 - Atypical intraductal proliferation (AIP) of the prostate: Findings in repeat biopsy or radical prostatectomy in patients who met pathologic criteria for active surveil...Ruihe Lin, Huili Li, Ezra Baraban, Tamara Lotan, Angelo DeMarzo
Human Pathology. 2025-06-13 - Concordance of Whole-Slide Imaging and Conventional Light Microscopy for Assessment of Pathologic Response Following Neoadjuvant Therapy for Lung Cancer.Julie S Deutsch, Daphne Wang, Krista Y Chen, Ashley Cimino-Mathews, Elizabeth D Thompson
Laboratory Investigation; a Journal of Technical Methods and Pathology. 2025-01-01
Press Mentions
- Artificial Intelligence Can Potentially Predict a Patient’s Response to Cancer TreatmentNovember 16th, 2022
- Amid a Scientist Shortage, AI Is Being Used to Scan for DiseasesDecember 26th, 2019
- The Mark Foundation Funds Eight Projects at the Intersection of Artificial Intelligence and Cancer ResearchNovember 19th, 2019
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