Skip to main content
Campus Alert

Resources for DBMI’s International Scholars & Students

We have posted a list of resources provided by the Harvard International Office

Mobile Main Navigation

  • About DBMI
    • DBMI Mission and Vision
    • Department Leadership
    • Administration
    • DBMI Technology Development Core
    • Core for Computational Biomedicine
    • Resources
    • Contact Us
  • Careers
    • Faculty
    • Postdoctoral Fellowships
      • Avillach Lab
      • Cai Lab
      • Farhat Lab
      • Gehlenborg Lab
      • Kohane Lab ("Zaklab")
      • O'Connor Lab
      • Park Lab
      • Patel Group
      • Surgical Informatics Lab
      • Yu Lab
      • Zitnik Lab
    • Curriculum Fellowships
    • Associates and Research Associates
      • Associate — Bioinformatician
      • Associate — LLM Research
      • Associate — Pathology AI Research
      • Research Associate — Senior Bioinformatician
    • Professional Staff
  • Education
    • PhD Program
      • AIM PhD Track
        • Meet Our Students
          • Entering 2024
          • Entering 2025
      • BIG PhD Track
        • Meet Our Students
          • Entering 2025
          • Entering 2024
          • Entering 2023
          • Entering 2022
          • Entering 2021
          • Entering 2020
          • Entering 2019
          • Alumni
    • Master's Program
      • Admissions
        • International Applicants
        • Information Sessions
        • Tuition and Financial Aid
        • MMSc-BMI FAQs
      • MMSc-BMI Curriculum
        • MMSc-BMI Electives
      • MMSc-BMI Thesis
      • Financial Aid Opportunities
        • INDECS Scholarship
      • Student and Alumni Profiles
        • Current MBI Students
        • MBI Class of 2025
        • MBI Class of 2024
        • MBI Class of 2023
        • MBI Class of 2022
        • MBI Class of 2021
        • MBI Class of 2020
        • MBI Class of 2019
        • MBI Class of 2018
        • MBI Class of 2017
        • MBI Class of 2016
        • MBI Class of 2015
    • Summer Institute
      • Admissions
      • Curriculum
      • FAQ
      • Student Projects
      • Student Testimonials
    • Clinical Informatics Lecture Series
      • CME Evaluation
      • Mailing List
      • Past Series 2024-2025
      • Past Series 2023-2024
      • Past Series 2022-2023
      • Past Series 2021-2022
      • Past Series 2020-2021
      • Past Series 2019–2020
    • Bootcamps
    • NLM BIRT Fellowship
      • BIRT Fellow Profiles
        • BIRT Alumni, 2019 - 2024
        • BIRT Alumni, 2013 - 2018
      • Connections: Career Paths in Biomedical Informatics
    • Courses
  • Events
    • DBMI Calendar
    • Event Submission Guidelines
    • Entrepreneurs Salon (BIES)
    • Omenn Lecture
      • 2024 Omenn Lecture
      • 2023 Omenn Lecture
      • 2022 Omenn Lecture
      • 2019 Omenn Lecture
      • 2018 Omenn Lecture
    • Open Insights Seminars
    • Precision Medicine Annual Conference
      • 2024: Education in the AI Era
        • Speakers
      • 2023: Precision Medicine Without Borders
        • Speakers
      • 2022: The New "Normal"?
        • Speakers
      • 2021: Race & Ethnicity
        • Speakers
      • 2020: Hyperindividualized Treatments
        • Schedule
        • Speakers
        • Video: Opening Remarks — George Q. Daley
        • Video: Keynote Address — Julia Vitarello
        • Video: Panel 1 — How do we scale up? What is the path to industrialization?
        • Video: Fireside Chat — Amy Abernethy, US FDA
        • Video: Panel 2 — How do we decide who to treat?
        • Video: Panel 3 — Is there a role for hyperindividualized therapy in common diseases?
        • Video: Panel 4 — COVID-19 Therapeutics
      • 2019: AI in Medicine
        • Speakers
        • Video: Opening Remarks — George Q. Daley
        • Video: Opening Keynote — Matt Might
        • Video: Panel 1 — Policy and the Patient: Who's in Control?
        • Video: Panel 2 — Is There Value in Prediction?
        • Video: Panel 3 — Hyperindividualized Treatments
        • Video: Closing Keynote — Jim Tananbaum
      • 2018: Assembling the Puzzle
      • 2017: Breakaway Business Models
      • 2016: Rogue Therapeutics
      • 2015: Patient Driven
    • RAISE Symposium
    • SAIL Annual Conference
  • Faculty
    • Core Faculty
      • Paul Avillach
      • Michael Baym
      • Tianxi Cai
      • Maha Farhat
      • Nils Gehlenborg
      • Isaac Kohane
      • Heng Li
      • Arjun (Raj) Manrai
      • Luke O'Connor
      • Peter Park
      • Chirag Patel
      • Pranav Rajpurkar
      • Shamil Sunyaev
      • Kun-Hsing Yu
      • Marinka Zitnik
    • Faculty Labs
      • Avillach Lab
      • Baym Lab
      • CELEHS (Cai Lab)
      • Farhat Lab
      • HIDIVE Lab (Gehlenborg)
      • Zaklab (Kohane)
      • HLi Lab
      • O'Connor Lab
      • Park Lab
      • Patel Group
      • Rajpurkar Lab
      • Sunyaev Lab
      • Yu Lab
      • Zitnik Lab
  • News
  • Projects
    • 4CE
    • 4DN DCIC
    • AIM PhD Track
    • AIM-AHEAD
    • CCB
    • CGAP
    • Confluence
    • CHARM
    • GenTB
    • HuBMAP Data Portal
    • IGVF
    • MAIDA
    • MOMA
    • NEXUS
    • NHLBI BioData Catalyst
    • People Heart Study
    • Precision Medicine Annual Conference
    • ProCyon
    • RAISE
    • RANT
    • SMaHT Data Portal
    • SAIL
    • TDC
    • ToolUniverse
    • UDN
  • Research Areas
    • Artificial Intelligence
    • Biomedical Discovery Infrastructure
    • Clinical Decision Making
    • Computational Omics
    • Evolutionary Genetics
    • Genes and Environment
    • Learning Health Systems
    • Microbial Genomics
    • Taxonomy of Disease

Mobile Utility Navigation

  • Donate
  • DBMI People Directory
  • Harvard Medical School
Menu

Utility Navigation

  • Donate
  • DBMI People Directory
  • Harvard Medical School
Search

Main navigation

  • About DBMI
    • DBMI Mission and Vision
    • Department Leadership
    • Administration
    • DBMI Technology Development Core
    • Core for Computational Biomedicine
    • Resources
    • Contact Us
  • Careers
    • Faculty
    • Postdoctoral Fellowships
    • Curriculum Fellowships
    • Associates and Research Associates
    • Professional Staff
  • Education
    • PhD Program
    • Master's Program
    • Summer Institute
    • Clinical Informatics Lecture Series
    • Bootcamps
    • NLM BIRT Fellowship
    • Courses
  • Events
    • DBMI Calendar
    • Event Submission Guidelines
    • Entrepreneurs Salon (BIES)
    • Omenn Lecture
    • Open Insights Seminars
    • Precision Medicine Annual Conference
    • RAISE Symposium
    • SAIL Annual Conference
  • Faculty
    • Core Faculty
    • Faculty Labs
  • News
  • Projects
    • 4CE
    • 4DN DCIC
    • AIM PhD Track
    • AIM-AHEAD
    • CCB
    • CGAP
    • Confluence
    • CHARM
    • GenTB
    • HuBMAP Data Portal
    • IGVF
    • MAIDA
    • MOMA
    • NEXUS
    • NHLBI BioData Catalyst
    • People Heart Study
    • Precision Medicine Annual Conference
    • ProCyon
    • RAISE
    • RANT
    • SMaHT Data Portal
    • SAIL
    • TDC
    • ToolUniverse
    • UDN
  • Research Areas
    • Artificial Intelligence
    • Biomedical Discovery Infrastructure
    • Clinical Decision Making
    • Computational Omics
    • Evolutionary Genetics
    • Genes and Environment
    • Learning Health Systems
    • Microbial Genomics
    • Taxonomy of Disease

Accuracy of serum pepsinogens I and II, gastrin-17 and anti-helicobacter pylori antibodies in histological diagnoses of atrophic gastritis.

Systematic review of methods for evaluating healthcare research economic impact.

The association between iron status and some immunological factors in the pregnancy.

A drug-adverse event extraction algorithm to support pharmacovigilance knowledge mining from PubMed citations.

Determining the reasons for medication prescriptions in the EHR using knowledge and natural language processing.

Clinical Application of Screening for GJB2 Mutations before Cochlear Implantation in a Heterogeneous Population with High Rate of Autosomal Recessive Nonsyndromic Hearing Loss.

Different causes of referral to ophthalmology emergency room.

Combing signals from spontaneous reports and electronic health records for detection of adverse drug reactions.

Methods for identifying suicide or suicidal ideation in EHRs.

An automated tool for detecting medication overuse based on the electronic health records.

Pagination

  • First page « First
  • Previous page ‹ Previous
  • …
  • Page 303
  • Page 304
  • Page 305
  • Page 306
  • Current page 307
  • Page 308
  • Page 309
  • Page 310
  • Page 311
  • …
  • Next page Next ›
  • Last page Last »
Subscribe to
Harvard Medical School
Facebook linkedin instagram youtube

Department of Biomedical Informatics
10 Shattuck Street
Suite 514
Boston, MA 02115
(617) 432-2144

Footer

  • Privacy Policy
  • Accessibility
  • Digital Accessibility​
  • Donate to DBMI

User account menu

  • Log in

© 2026 by the President and Fellows of Harvard College