ROKS: Minimizing the side effects of radiation therapy on prostate cancer patients

Use of computational techniques to calculate the delivered dose accumulated in the rectum over the course of the radiation therapy treatment to find relationship between delivered dose and side effects on prostate cancer patients.

ROKS: NLP and ML to assist incident learning in radiation oncology

Advancing radiation oncology incident learning using Natural Language Processing and Machine Learning techniques

ROKS: Predicting pain in cancer patients with bone metastases

Using Natural language processing, radiomics, and patient-reported outcomes form Opal to predict pain using the CT images of cancer patients with bone metastases.