- Granted applications
- 2022 Call
- 2021 Call
- 2020 Call
- 2019 Call
- Before 2019
- Application 2023
- Contact us
Artificial Intelligence in Oncology - Supporting scientific research
In short, Marius Staring's research entails the following:
Vestibular schwannomas (VS) are rare intracranial tumors that are (typically) benign, but may cause invalidating symptoms such as hearing loss, balance disturbance or even intracranial hypertension and brainstem compression in advanced cases. Typically, patients are monitored closely with periodic MR imaging, and only in case of tumor progression, treatment is opted for. Computational tools based on Machine Learning may allow prediction of tumor progression in an early stage, when less invasive treatment strategies are still an option. In the MLSCHWAN project our team of engineers, radiologists and ear-nose-throat surgeons, will develop tumor growth prediction tools, implement these in the clinic, and evaluate their added value.
MRI scan of a Vestibular Schwannoma: is it stable or does it grow?