Multiple treatment options are available for many diseases. A treatment that performs very well for one patient might not be effective or safe for another. Choosing the right treatment for each patient is thus of crucial importance. Yet current approaches to personalizing the choice of treatment do not fully utilize routinely collected data such as disease history and patient characteristics.
The project «Predicting the real-world effectiveness and safety of medical interventions» (REFiNE) will develop new methods for personalizing treatment to account for the individual characteristics, needs, and preferences of patients using evidence from multiple randomized clinical trials and data collected in clinical practice.
The primary objectives of REFiNE are to
- Develop and test a range of methods for making patient-specific predictions about the effects of medical interventions
- Develop easy-to-use online software tools that will utilize all methods to enhance the decision-making process in everyday clinical settings
Our work will help clinical practice move away from the one-size-fits-all approach to treating patients by using evidence-based methods to choose the best treatment for each individual patient.
Orestis collaborated with Matthias Egger and Marcel Zwahlen in developing this proposal. The project will also fund a PhD student.
