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
      • Berkowitz Family Living Laboratory
      • 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
      • BIG PhD Track
        • Meet Our Students
          • Entering 2024
          • Entering 2023
          • Entering 2022
          • Entering 2021
          • Entering 2020
          • Entering 2019
          • Entering 2018
          • 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
      • Continuing Master's Student Information
        • Accelerated (36-credit) Program Curriculum
        • 48-Credit Program Curriculum
        • Capstone Experience
        • Electives
        • Tuition and Fees
      • Student and Alumni Profiles
        • Current MBI Students
        • 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
        • MBI Class of 2014
        • MBI Class of 2013
        • MBI Class of 2012
    • Summer Institute
      • Admissions
      • Curriculum
      • FAQ
      • Student Projects
      • Student Testimonials
    • Clinical Informatics Lecture Series
      • CME Evaluation
      • Mailing List
      • Past Series 2023-2024
      • Past Series 2022-2023
      • Past Series 2021-2022
      • Past Series 2020-2021
      • Past Series 2019–2020
    • Courses
      • AISC 610 - Computationally-Enabled Medicine
      • BMI 701 - Foundations in Biomedical Informatics I
      • BMI 702 - Foundations in Biomedical Informatics II
      • BMI 706 - Data Visualization for Biomedical Applications
      • BMI 707 - Deep Learning for Biomedical Data
      • BMI 708 - Precision Medicine
      • BMI 709 - Creating Biomedical Dashboards with R Shiny
      • BMI 710 - Single-Cell Analysis for Functional Genomics of Disease
      • BMI 711 - Integrative Analyses for Rare Genetic Disease Diagnostics
      • BMI 714 - Advanced Coding and Statistics for Biomedical Informatics
      • BMI 717 - Conduct and Communication of Science
      • BMI 718 - Reading, Writing, and Evaluating Scientific Literature
      • BMI 719 - Design and Execution of Scientific Projects
      • BMI 741 - Health Information and Technology: From Ideation to Implementation
      • BMIF 201 - Concepts in Genome Analysis
      • BMIF 202 - Artificial Intelligence in Medicine I
      • BMIF 203 - Artificial Intelligence in Medicine II
      • BMIF 301 - AI in Medicine Clinical Experience I
    • Bootcamps
    • NLM BIRT Fellowship
      • BIRT Fellow Profiles
        • BIRT Alumni, 2019 - 2024
        • BIRT Alumni, 2013 - 2018
      • Connections: Career Paths in Biomedical Informatics
  • 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
    • Berkowitz Living Laboratory
      • Overview
      • People
      • Gallery
      • News
      • Positions
      • Publications
      • Teamwork
    • CCB
    • CGAP
    • Confluence
    • CHARM
    • GenTB
    • HuBMAP Data Portal
    • IGVF
    • MAIDA
    • MOMA
    • NEXUS
    • NHLBI BioData Catalyst
    • People Heart Study
    • Precision Medicine Annual Conference
    • RAISE
    • RANT
    • SMaHT Data Portal
    • SAIL
    • TDC
    • 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
    • Courses
    • Bootcamps
    • NLM BIRT Fellowship
  • 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
    • Berkowitz Living Laboratory
    • CCB
    • CGAP
    • Confluence
    • CHARM
    • GenTB
    • HuBMAP Data Portal
    • IGVF
    • MAIDA
    • MOMA
    • NEXUS
    • NHLBI BioData Catalyst
    • People Heart Study
    • Precision Medicine Annual Conference
    • RAISE
    • RANT
    • SMaHT Data Portal
    • SAIL
    • TDC
    • 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

News

Photo showing a closeup of Brendon Paradis and his son Keegan standing next to each other

Solving Medicine’s Most Elusive Mysteries

April 3, 2025

The Undiagnosed Diseases Network identifies the rarest of diseases and discovers new ones

Collage of medical and technology images

Machine healing

March 20, 2025

Artificial intelligence is up to the challenge of reducing human suffering, experts say. Are we?

gloved hand of medical clinician touching a high-end computer screen

Open-Source AI Matches Top Proprietary LLM in Solving Tough Medical Cases

March 14, 2025

Greater competition between AI diagnostic tools should benefit patients and clinicians

Abstract clinical AI background

Breyer Capital Catalyzes the Future of AI-Driven Medicine at Harvard Medical School

March 4, 2025

Landmark funding supports premier PhD track training next generation of healthcare AI leaders

Close-up of a laptop, stethoscope, and physician’s forearm in white coat

How Good Are AI ‘Clinicians’ at Medical Conversations?

January 2, 2025

Researchers design a more realistic test to evaluate AI’s clinical communication skills

animated eye from Financial Times

The doctors pioneering the use of AI to improve outcomes for patients

November 7, 2024

Pranav Rajpurkar is among those interviewed.

From left: Andrew Zou, Thomas Buckley, and Zak Kohane

Gift Empowers Trainees To Leverage Clinical AI for Better Health

November 6, 2024

$6 million in funding equips scientists, leaders of the future

James Diao's STAT Wunderkind image inset on photo of health care workers participating in a “White Coats for Black Lives” event

Should race be used in clinical algorithms? How one doctor’s research is helping shape policy

October 31, 2024

James Diao, a Berkowitz Fellow in DBMI and STAT Wunderkind '24, is profiled. He has carefully balanced empirical and moral arguments in his work.

Gary Miller, Rima Habre, and Chirag Patel

First NIH-wide exposome research coordinating center launched

October 2, 2024

DBMI's Chirag Patel will co-lead the the $7.7 million project.

Drawing of a target with pills on lying on top

Researchers Harness AI to Repurpose Existing Drugs for Treatment of Rare Diseases

September 25, 2024

New AI model identifies drug candidates for thousands of rare diseases without current therapies

abstract purple illustration with sparkling movement

A New Artificial Intelligence Tool for Cancer

September 4, 2024

ChatGPT-like AI model can diagnose cancer, guide treatment choice, predict survival across multiple cancer types

stills from video: shown left to right are Zak, Pranav, and Brook

CBS Saturday Morning: How AI might change medical care

August 17, 2024

Zak Kohane and Pranav Rajpurkar are interviewed.

Pagination

  • Current page 1
  • Page 2
  • Page 3
  • Page 4
  • Page 5
  • Page 6
  • Page 7
  • Page 8
  • Page 9
  • …
  • Next page ››
  • Last page Last »
Harvard Medical School
twitter linkedin 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

© 2025 by the President and Fellows of Harvard College