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📅 UPCOMING COURSE

Next Course: 23 - 27 March 2026

Join us for an intensive hands-on workshop in cancer informatics

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Learning Paths

Master cancer informatics through structured learning

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Cancer Statistics (R)

Learn data analysis and visualization using R. Perfect for statistical analysis and creating publication-ready graphics.

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AI & Machine Learning (Python)

Explore artificial intelligence and machine learning techniques for cancer research and diagnosis.

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Cancer Theory

Understand the fundamentals of cancer informatics, NGS technology, and variant analysis.

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Real-World Applications

Apply your knowledge to breast, cervical, and ovarian cancer analysis projects.

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01

Comprehensive Curriculum

From foundational theory to advanced machine learning, covering all aspects of cancer informatics.

02

Hands-On Learning

Real datasets and practical exercises with R, Python, and specialized bioinformatics tools.

03

Expert Content

Created by cancer research and informatics experts at Heinrich-Heine-University Düsseldorf.

04

Community Driven

Open source and actively developed. Contribute your own materials and improvements.

Featured Topics

Digital Pathology

QuPath for tissue segmentation and cell counting

NGS Analysis

Next-generation sequencing processing and variant analysis

Deep Learning

3D MRI and ultrasound segmentation

Statistical Analysis

Survival analysis and regression modeling

Cancer Informatics Summer & Winter Schools

Join us for in-person intensive workshops at Heinrich-Heine-University Düsseldorf

Participate in hands-on training with leading experts in cancer informatics. Network with peers, dive deep into practical applications, and advance your research skills.

Learn More About Our Programs

Ready to Start Learning?

Begin your cancer informatics journey today

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