Support for cancer treatment
In cancer research, artificial intelligence can use methods such as data science and (deep) machine learning to evaluate cancer treatment and provide support for the treating oncologist in diagnosis and therapy.
Artificial Intelligence in Healthcare
The aim of using Artificial Intelligence in cancer research is to evaluate the potential applications of advanced data science and (deep) machine learning methods in clinical cancer treatment and to make a significant contribution to the practical implementation. As part of this research project, clinical partners provide anonymous patient and treatment data to be used by data scientists for data visualization and for a study to predict survival or fallback probabilities using machine learning methods. In addition, the aim is to develop perspective software that facilitates the daily work of oncologists, as follows:
- Visualizing, indexing, and searching this patient data and making it accessible to interactive analysis
- This helps to develop a structured database of patient and patient information, which in turn can be used as a basis to create automated analysis and predictions on disease evolution using data science and machine learning methods.