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Oxford MedTech Society x Google Gemini Clinical Hackathon

lumaHosted on Luma

Fetched about 5 hours ago

Saturday, June 13, 2026

to Saturday, June 13, 2026

HealthtechArtificial IntelligenceData Science

Event Type

in person

64

Participants

5

Est. Projects

Healthcare is full of problems waiting to be solved. Join us for a one-day hackathon bringing together students, clinicians, researchers, designers, engineers and innovators to prototype solutions for real healthcare challenges using Google Gemini. Across the day, participants will form teams, identify a clinical problem, develop an AI-powered concept, and pitch their solution to a panel at the end of the event. The focus is not just on building something impressive, but on creating ideas that are clinically useful, safe, scalable and grounded in real-world healthcare needs. No advanced coding experience is required. We are looking for people who can think critically about problems, design user-centred solutions, communicate clearly, and work well in a team. Whether you come from medicine, computer science, engineering, design, business, policy or another background, you will have something valuable to contribute. The day will include: An introduction to the hackathon challengeGuidance on using Google Gemini for clinical innovationTeam formation and ideationDedicated building and mentoring timeFinal pitches and judgingNetworking with students, clinicians and innovators interested in healthcare technology This is a chance to explore how generative AI can be applied responsibly to clinical problems, meet others interested in medtech, and turn an idea into a prototype in a single day. Date: 13 June 2026Time: 09:00–17:00Hosted by: Oxford MedTech Society and Google Gemini Food will be provided. Spaces are limited.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct