🚀 Put your machine learning skills to the test in medtech!
Join KTH AI Society, ABC Labs, KTH Innovation, and KTH Longevity for a one-week AI hackathon where you’ll tackle a real-world challenge in drug testing and lab automation
The Challenge:Thousands of drug test samples need manual review to ensure nothing is missed. Your mission is to build a machine learning model that confidently identifies negative LC-MS drug testing samples. Accuracy counts — the better your model, the closer you are to victory!
🏆 The Prize:The winning team will share a prize of 10,000 SEK
Who Should Apply:Teams of up to 4 participants who are passionate about AI and medtech. Apply before the 16th September!
Key Dates:
22 Sep: Kick-off at ABC Labs Office27–28 Sep: Sprint weekend at KTH Innovation2 Oct: Demo Day
As always, food and drinks will be provided on all occasions!
🔥 Spots are limited, Apply now!
About ABC Labs:
ABC Labs is a technology-native care provider, diagnostics lab, biobank, and research organisation. Creating unified, exponentially improving, public health products. They are innovating at the frontier of diagnostics by combining software, robotics, data science, medical consultation, lab automation, and operational excellence to create end-to-end products that span the entire spectrum of user needs — and become exponentially more efficient over time
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.