Specific aims include:
* Develop tools and methods for personalized medicine approaches to cancer patients.
* Develop open-source visualization and interpretation software that facilitate clinical decision making via data integration and interpretation of multilevel data from cancer patients.
* Rapidly identify HGSOC patients who are likely to respond poorly to current therapies combining information on digitalized histopathology samples, genomic and clinical data with AI methods.
* Deploy validated personalized medicine treatment options using longitudinal measurement and ex vivo organoid cultures from cancer patients in clinical care.
Age
18–any
Sex
FEMALE
Healthy volunteers
Not accepted
You may be eligible if
Patients with a suspected ovarian cancer diagnosis treated at the Turku University Hospital
Ability to understand and the willingness to sign a written informed consent document
You may not be if
Age \<18 years, too poor condition for active treatment (surgery, chemotherapy)
FDG PET/CT scan is not performed for patients with diabetes mellitus and poor glucose balance.
