Data Science and AI for Medicine Training School 2025#
This is the website of the Data Science and AI for Medicine Training School 2025, conducted by Come2Data and ScaDS.AI. We provide all training materials and information about the training school on this page.
General info#
Date: September 23th - 25th 2025
Place: Data Science Center ScaDS.AI / Uni Leipzig, 5th floor, LĂśhrstraĂe 18, 04105 Leipzig
Target audience: Students and scientists from the medical field with interest in learning Data Science and AI using Python. No prior programming experience required.
Registration is open from Wednesday, 09. July 2025 at 18:00 to Friday, 22. August 2025 at 23:59, and limited to 25 participants: https://events.scads.ai/e/ai4medicine-2025
Trainers#
Marie Gerwek, IMISE / Medical Data Science, Universitätsklinikum Leipzig
Dr. Sina Sadeghi, IMISE / Medical Data Science, Universitätsklinikum Leipzig
Michaela Unger, Clinical AI / Kather lab / EKFZ, TU Dresden
Laura Ĺ˝igutytÄ, Clinical AI / Kather lab / EKFZ, TU Dresden
Dr. Asier Rabasco Meneghetti, Clinical AI / Kather lab / EKFZ, TU Dresden
Leo Misera, Clinical AI / Kather lab / EKFZ, TU Dresden
Sanddhya Jayabalan, Clinical AI / Kather lab / EKFZ, TU Dresden
GĂźrcan Mustafa Ăzden, Clinical AI / Kather lab / EKFZ, TU Dresden
Dr. Robert Haase, ScaDS.AI, Uni Leipzig
Matthias Täschner, ScaDS.AI, Uni Leipzig
Program#
Tuesday, September 23th#
08:30-09:30 Arrival 09:30-10:15 Welcome and organizational 10:15-12:45 Python basics and tools â part 1 12:45-13:45 Lunch 13:45-15:15 Python basics and tools â part 2 15:15-15:30 Coffee 15:30-16:15 Use of AI assistants in Jupyter 16:15-17:00 File handling with Python 17:00-18:00 Wrap up, questions & get familiar with Python, Jupyter and AI assistant
Wednesday, September 24th#
09:30-11:00 Research Data Management in Medicine 11:00-11:15 Coffee 11:15-12:45 Introduction to Machine Learning 12:45-13:45 Lunch 13:45-15:15 Data Handling & Data Preprocessing 15:15-15:30 Coffee 15:30-17:00 Explainability & Trustworthiness 17:00-18:00 Wrap up, questions & work on your own data 19:00-21:00 Scientific Networking Event
Thursday, September 25th#
09:30-11:00 Introduction to Deep Learning 11:00-11:15 Coffee 11:15-12:45 Application of Deep Learning in Medical Imaging (Radiology) 12:45-13:45 Lunch 13:45-15:15 Application of Large Language Models in Medicine 15:15-15:30 Coffee 15:30-17:00 Wrap up, questions & work on your own data 17:00-18:00 Departure
Slides#
Slides for each session can be downloaded from the page linked in the table of contents.
Acknowledgements#
We acknowledge the financial support by the Federal Ministry of Education and Research of Germany and by Sächsische Staatsministerium fĂźr Wissenschaft, Kultur und Tourismus in the programmes âStärkung der Datenkompetenzen des wissenschaftlichen Nachwuchsesâ, project identification number: 16DKZ2044; and Center of Excellence for AI-research âCenter for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzigâ, project identification number: ScaDS.AI.