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Data Science and AI for Medicine Training School with Come2Data and ScaDS.AI, 2026 - Home Data Science and AI for Medicine Training School with Come2Data and ScaDS.AI, 2026 - Home
  • Data Science and AI for Medicine Training School 2026

Preparation

  • Prepare Your Computer

Day 1

  • Python: Basics and Tools Review
    • JupyterLab and Jupyter Notebooks
    • AI Assistant in Jupyter
    • Python Basics Review
  • Data Handling and Preprocessing
    • Introduction to pandas
    • Data cleaning for tabular clinical data
    • Data Transformation
  • Machine Learning: Introduction and Basics
    • Regression with scikit-learn
    • RandomForest with scikit-learn
    • Clustering with scikit-learn
    • Dimensionality reduction with scikit-learn

Day 2

  • Research Data Management in Medicine
  • Deep Learning: Introduction and Basics
    • Neural Network with PyTorch
    • Convolutional Neural Network Cats vs. Dogs Classifier
    • Autoencoders for RNA-seq data
    • Autoencoders for RNA-seq data
    • Long Short-Term Memory models for ECG data
    • Long Short-Term Memory models for ECG data
    • CNNs for radiology images
    • CNNs for radiology images
  • Explainability of ML/DL Models
    • Explainability of ML Models with SHAP

Day 3

  • Machine Learning on Tabular Data
    • Comprehensive Exercise on Segmentation Analysis
    • Comprehensive Exercise on Segmentation Analysis - Solution
  • Deep Learning - Large Language Models

Information

  • Code of Conduct
  • Contributing
  • Imprint
  • Repository
  • Open issue

Index

By Matthias Täschner

Last updated on 2026-03-13.

Copyright: Licensed CC-BY 4.0 unless mentioned otherwise. Contributions and feedback are welcome.