1. Introduction

2. What kind of ML is important in Medicine/Cancer Prediction and Treatment?
2.1. Factor One: Output Explainability  
2.2. Factor Two: Linking to Original Cases to Produce Outputs  
2.3. Factor Three: Data Hungriness  

3. Application of ML approaches in cancer cases

4. Software and datasets
4.1. Software Tools  
4.2. HPC Infrastructures  
4.3. Datasets  

5. Conclusions and Outlook