Data Science and AI for Medicine - Training School 2026 - Day 2

Thursday Mar 12, 2026, 8:30 AM → 6:00 PM Europe/Berlin

Bibliothek­ Medizin/Naturwissenschaften

Day 2 of the 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 training school will take place in 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 for all 3 days will be provided here: https://scads.github.io/ai4medicine-2026/intro.html

Registrations for all 3 days are open on this page from Friday, 16. Jan 2026 at 18:00 to Friday, 13. Feb 2026 at 23:59, with limited places available.

• Day 1 [26.02.26] - Python Tools and Machine Learning (ML) Basics
• Day 2 [12.03.26] - Research Data Management and Deep Learning (DL) Basics [this event]
• Day 3 [20.03.26] - ML / DL Applications in Medicine

Attention - Prerequisites for participation:
✔ Confident use of your own laptop and operating system
✔ Basic knowledge of using the terminal / PowerShell
✔ Familiar with the Python programming language
✔ Familiar with virtual environments and package management in Python (e.g., venv, pip, uv)

Preparation & Materials
🔗 W3Schools Python basics
🔗 Training materials “Data Science and AI for Medicine 2025”
🔗 RealPython Virtual environments in Python
🔗 Python package management with uv

Github Repository with Training Materials

8:30 AM → 9:00 AM Organizational: Arrival

9:00 AM → 10:30 AM Data Management: RDM

• Research Data Management in Medicine

10:30 AM → 11:00 AM Coffee Break

11:00 AM → 12:00 PM Deep Learning: Introduction and Basics

• Theory and Practice
• Introducing algorithms and models
• Handling of Python libraries scikit-learn and pytorch

12:00 PM → 1:00 PM Lunch Break

1:00 PM → 3:00 PM Deep Learning: Introduction and Basics

• Theory and Practice
• Introducing algorithms and models
• Handling of Python libraries scikit-learn and pytorch

3:00 PM → 3:30 PM Coffee Break

3:30 PM → 5:00 PM Other: Explainability of ML/DL Models

5:00 PM → 6:00 PM Wrap-Up & Questions

Open for further questions and support, or discussing your research and data