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Introductory Courses

Webinar series on AI for precision oncology

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Overview
Curriculum
  • 3 Sections
  • 18 Lessons
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Module 1 - AI fundamentals
8 Lessons
  1. 0.1 Welcome and introduction
  2. 1.1 Machine Learning
  3. 1.2 Deep Learning
  4. 1.3 Data preprocessing for clinical AI
  5. 1.4 Building trustworthy AI
  6. 1.5 LLMs in Medicine
  7. 1.6 Introduction to Python
  8. 1.7 Discussion
Module 2 - AI for pathology and pathomics
5 Lessons
  1. 2.1 Introduction to pathomics and digital pathology
  2. 2.2 Biomarker development from whole slide images
  3. 2.3 Foundation models for pathology
  4. 2.4 AI for multiplex, single-cell and spatial analysis in oncology
  5. 2.5 Discussion
Module 3 - AI for radiology and radiomics
5 Lessons
  1. 3.1 Building and validating radiomics pipelines for clinical treatment
  2. 3.2 An AI toolbox for radiomics
  3. 3.3 Segmentation in radiology from manual approaches to foundation models
  4. 3.4 AI radiomics for image-based screening
  5. 3.5 Discussion

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