Data Science and AI for Medicine - Training School 2025

Sep 23, 2025, 8:30 AM → Sep 25, 2025, 6:00 PM Europe/Berlin

Seminar Room B05.25 "Collmberg", 5th Floor (Data Science Center ScaDS.AI / Uni Leipzig)

A 3-day training school on Python, Data Science and Artificial Intelligence for the medical sector, conducted as part of the Come2Data project in collaboration with ScaDS.AI Dresden/Leipzig. The target group are students and scientists from the medical field with an interest in learning Data Science and AI using Python. Agenda, training materials and further information will be provided here: https://scads.github.io/ai4medicine-2025/intro.html

Registration is open from Wednesday, 09. July 2025 at 18:00 to Friday, 22. August 2025 at 23:59, and limited to 25 participants.

We are currently fully booked, with all 25 places taken. If you would like to be put on the waiting list, please send an email to matthias.taeschner@uni-leipzig.de

Github Pages with training materials

Tuesday, September 23

Organizational: Arrival

Organizational: Welcome

Python: Basics and Tools - Part 1

12:45 PM Lunch Break

Python: Basics and Tools - Part 2

3:15 PM Coffee Break

Other: Use of AI assistants for Coding

Python: File Handling

5:00 PM Wrap-Up & Questions

Get more familiar with Python, Jupyter and AI assistant - supported by the supervisors of the events

Wednesday, September 24

Other: Research Data Management in Medicine

11:00 AM Coffee Break

Machine Learning: Introduction to ML

12:45 PM Lunch Break

Machine Learning: Data Handling and Preprocessing

3:15 PM Coffee Break

Machine Learning: Explainability & Trustworthiness

5:00 PM Wrap up, questions & work on your own data

7:00 PM Scientific Networking Event

Thursday, September 25

Deep Learning: Introduction to DL

11:00 AM Coffee Break

Deep Learning: Application of DL in Medical Imaging (Radiology)

12:45 PM Lunch Break

Deep Learning: Application of Large Language Models in Medicine

3:15 PM Coffee Break

3:30 PM Wrap up, questions & work on your own data

Organizational: Goodbye and Departure