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Community · #ai-med

AI & Data Science

The largest and most active MD+ vertical — structured tutorials, Datathon, Journal Club, and Catalyst for clinicians who want to build with AI.
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About

The largest and most active vertical in MD+. We offer a complete learning pathway: from foundational tutorials in Python, clinical data science, and machine learning, through hands-on Google Colab modules on Q-Learning, RAG, and CNNs taught through a clinical lens. Members compete in the annual MD+ Datathon — a month-long competition now in its fourth year with ~300 participants in 2025, producing peer-reviewed research published in JMIR Medical Education. Those who want hands-on project experience and leadership can apply to Catalyst. The AI & Data Science community is where clinicians go from zero experience to building real AI projects.

Resources

Where to start.

Educational Content

Planned — content coming soon

  • API Key Management & Security Best Practices
  • Clinical Datasets & HIPAA Considerations
  • Data De-identification & Privacy-Preserving Workflows
  • Intro to Python for Healthcare Data Science
  • Jupyter Notebook Fundamentals
  • Basic Machine Learning Workflows
  • Medical Imaging & Computer Vision
  • LLMs in Healthcare
  • RAG for Medical Literature & Clinical Knowledge Bases
  • Clinical NLP Fundamentals
  • Data Visualization for Healthcare Datasets
  • Reproducible Research & Version Control (Git/GitHub)
  • End-to-End Healthcare AI Project Tutorials

Programs

  • Annual Datathon

    Four years running; ~300 participants in 2025; published in JMIR Medical Education

  • Catalyst

    Hands-on AI projects, leadership, and real-world experience

  • Journal Club (Archive)

    Past deep-dives into AI, data science, and clinical innovation papers

AI tutorials

Newsletters & blogs

  • Glass Box

    ML + medicine blog by Dr. Rachel Draelos (Cydoc)

  • Decoding Bio

    Substack by Dr. Patrick Malone (KdT Ventures)

  • Doctor Penguin

    Weekly newsletter on AI research across specialties

  • Import AI

    Jack Clark's weekly AI research newsletter

People to follow

Your path

From zero to building — step by step.

The AI & Data Science vertical is designed as a complete learning journey. Start anywhere, move at your own pace.

  1. 01

    Learn

    Build your foundation with structured articles, resources, and educational content.

  2. 02

    Tutorials

    Work through hands-on Colab modules on Q-Learning, RAG, CNNs, Python, clinical data science, and more.

  3. 03Paused

    Journal Club

    Past sessions are preserved in the archive — focused on AI, data science, and clinical innovation. New sessions paused for now.

  4. 04

    Datathon

    Compete in our annual month-long AI competition on real clinical datasets. Four years running, ~300 participants in 2025.

  5. 05

    Catalyst

    A structured cohort for members who want hands-on AI projects, real-world experience, and leadership opportunities.

  6. 06

    Leadership & Research

    Director roles, peer-reviewed publications, and community leadership in the largest MD+ vertical.

Other communities

Most members are in more than one.

See all

Venture Capital

Fellowship pipelines, investor introductions, and the resources to actually break into healthtech VC.

Biotech

Drug discovery, therapeutics investing, and physician pathways into biotech.

Consulting

Mentorship and resources for clinicians building careers in consulting, life sciences, and healthcare strategy.

Health Policy

Op-ed writing groups, expert speakers, and workshops to make health policy approachable.

Medical Devices

Device development, FDA pathways, and hardware for clinical environments.

Research (MD+ Labs)

A research collaboration platform: post a project, find collaborators, ship a paper.

Design

Healthcare design thinking, user experience, and human-centered clinical innovation.