Decision support systems for precision care in translational cancer-imaging

Research aim

To develop, validate and implement decision support systems based on imaging for the diagnosis, prognosis and triaging of oncology patients

About us

Every day, oncologists navigate critical decisions balancing cure and potential side effects that can significantly impact a patient’s quality of life. MRI, PET, and CT play a pivotal role in diagnosis and treatment, but this wealth of information is often underutilized, impacting our ability to refine the delicate balance between cure and quality of life.

Our interdisciplinary team comprises physicists, data scientists, radiologists, epidemiologists, hematologists, surgeons, and medical oncologists. Together, we’re on a mission to unlock the untapped potential of medical images, identifying novel imaging biomarkers that empower oncologists and patients to navigate challenging treatment decisions.

Should an oncologist proceed with surgery, risking severe comorbidity, or opt for careful surveillance? When is it prudent to initiate preemptive medical interventions to mitigate future harm, and when should watch-and-wait be favored? For which patients do costly medications with significant side effects offer little hope of cure?

We delve into these complex questions, leveraging the latest advancements in physics, mathematics, and artificial intelligence to develop and validate decision support systems that guide clinical practice.

Whether you’re an oncologist grappling with difficult treatment decisions or a specialist eager to contribute to our collaborative efforts, we invite you to reach out. Together, we’re dedicated to fostering sustainable and affordable healthcare.