Investigating ovarian cancer biomarkers and novel imaging techniques to improve early detection, screening, and patient outcomes.
Developing algorithms to better predict ovarian cancer recurrence.
Investigating the tumor immune microenvironment, including various cells and vessels, to optimize immunotherapy effectiveness in ovarian cancer treatment.
Creating a screening tool to identify high-risk individuals based on common ovarian cancer symptoms like bloating, early satiety, urinary tract symptoms, and abdominal pain.