Thoracic oncology

Research Research programs Thoracic oncology

Our purpose

We aim to present a framework ultimately resulting in fewer patients who develop advanced stage disease, allowing lung cancer patients to live longer in good health and with a higher health-related quality of life.

Goals

See some of the most important goals for this research program.

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Goals

Establish early diagnosis and accurate risk stratification before, during and after lung cancer.
Novel and minimally invasive therapeutic interventions for lung cancer.
Maximized efficacy and minimized risk of lung cancer treatment and follow-up.
Establish a multimodal and continuous data registry on lung cancer.
Develop sustainable health care networks on lung cancer.

Research groups contributing to this research program

AI for precision medicine

Francesco Ciompi's research group focuses on precision medicine, investigating and developing artificial intelligence models to better understand diseases, discover novel biomarkers, and help physicians to improve their routine diagnostics and select the right treatments to help patients.

AI in thoracic oncology

Colin Jacobs's research group investigates how to develop robust and trustworthy artificial intelligence algorithms for medical imaging in the field of lung cancer, how to validate these algorithms in clinical practice, and how we can have the most impact with AI in healthcare.

Biological and molecular imaging in experimental radiotherapy

Jan Bussink's research group aims to 'reprogram' the metabolism of tumors, giving the immune system more 'grip' on tumor cells and making tumor cells more sensitive to radiotherapy.