Context:
Clinical decision support systems (CDSSs) were shown to improve patient outcomes and reduce costs of healthcare, including in oncology. However, despite significant progress made in the last decades, CDSSs have had an overall poor record of inclusion into routine clinical practice. Moreover, none of the leading commercial oncology CDSSs supports tractable data integration or explicit means for active patient involvement in the treatment selection process, which is a critical limitation in a clinical specialty that often uses aggressive treatments with substantial impact on patients' subsequent life.

Goals:
- Review existing CDSSs applicable to oncology.
- Discuss the results of the review with the supervisor and a group of oncologists to single out those CDSSs that can best reflect individual patient biological profiles and also their lifestyle preferences.
- If none such CDSS can be found in the state of the art, put together a list of actionable requirements for developing a more suitable CDSS that would address the needs of precision oncology. This should ideally be done based on an input from one or more oncologists, and using a formal approach to requirements analysis (as reviewed for instance in https://en.wikipedia.org/wiki/Requirements_analysis).
- Write up the results in a thesis form.

Requirements:
- Keen interest in the topic.
- Ability to read and comprehend scientific publications in English.
- Basic knowledge of computational biology, bioinformatics or medicine is a plus, but certainly not a must - the interest and willingness to learn are the only essential requirements, really.
- While the thesis can be written and defended in Czech, its elaboration and presentation in English will be supported enthusiastically.
- Monthly (or more frequent, if needed) progress review meetings with the supervisor will be expected.
- The student(s) will also be expected to develop and document any related code using the FI MU Gitlab platform, and (if applicable) re-use and interact with other related projects there.

Notes:
- Should they be interested, the student may tap into the resources and informal feedback of a broader international group of biomedical AI researchers and practitioners based in the Czech Republic, Ireland and elsewhere.
- During the thesis elaboration, the student will be expected to get involved in broader interdisciplinary research activities of Faculty of Informatics and Masaryk Memorial Cancer Institute.