# Data Science and AI for Medicine Training School 2026

This is the website of the Data Science and AI for Medicine Training School 2026, conducted by [Come2Data](https://come2data.de/) and [ScaDS.AI](https://scads.ai/). We provide all training materials and information about the training school on this page.

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## *This website is under heavy construction. Please come back later.*

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## General info

* Dates:
  * Day 1 - Thursday Feb 26, 2026 - Python Tools and Machine Learning (ML) Basics
  * Day 2 - Thursday Mar 12, 2026 - Research Data Management and Deep Learning (DL) Basics
  * Day 3 - Friday Mar 20, 2026 - ML / DL Applications in Medicine
* Place: Bibliothek­ Medizin/Naturwissenschaften, Liebigstraße 23/25, 04103 Leipzig
* Target audience: Students and scientists from the medical field with interest in learning Data Science and AI using Python.
* 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
* Registration is open from Friday, 16. Jan 2026 at 18:00 to Friday, 13. Feb 2026 at 23:59, and limited to 25 participants: https://events.scads.ai/e/ai4medicine-2026-1

## Trainers

* Marie Gerwek, IMISE / Medical Data Science, Universitätsklinikum Leipzig
* Michaela Unger, Clinical AI / Kather lab / EKFZ, TU Dresden
* Matthias Täschner, ScaDS.AI, Uni Leipzig

## Program

### Thursday Feb 26, 2026

<pre>
08:30-09:00 Arrival
09:00-09:30 Welcome and organizational
09:30-12:00 Python: Basics and Tools Review
12:00-13:00 Lunch
13:00-14:00 Data Management: Data Handling with Python
14:00-15:00 Machine Learning: Introduction and Basics
15:00-15:30 Coffee break
15:30-17:00 Machine Learning: Introduction and Basics
17:00-18:00 Wrap up & Questions: Open for further questions and support, or discussing your research and data
</pre>

### Thursday Mar 12, 2026

<pre>
08:30-09:00 Arrival
09:00-10:30 Research Data Management in Medicine
10:30-11:00 Coffee break
11:00-12:00 Deep Learning: Introduction and Basics
12:00-13:00 Lunch
13:00-15:00 Deep Learning: Introduction and Basics
15:00-15:30 Coffee break
15:30-17:00 Explainability of ML/DL Models
17:00-18:00 Wrap up & Questions: Open for further questions and support, or discussing your research and data
</pre>

### Friday Mar 20, 2026

<pre>
08:30-09:00 Arrival
09:00-10:30 Machine Learning Application on Tabular Data
10:30-11:00 Coffee break
11:00-12:00 Machine Learning Application on Tabular Data
12:00-13:00 Lunch
13:00-15:00 Deep Learning Application with Large Language Models
15:00-15:30 Coffee break
15:30-17:00 Deep Learning Application with Large Language Models
17:00-18:00 Wrap up & Questions: Open for further questions and support, or discussing your research and data
</pre>

## 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 für Wissenschaft, Kultur und Tourismus in the programmes „Stärkung der Datenkompetenzen des wissenschaftlichen Nachwuchses“, project identification number: 16DKZ2044; and Center of Excellence for AI-research „Center for Scalable Data Analytics and Artificial Intelligence Dresden/Leipzig“, project identification number: ScaDS.AI.