Cancer Prognosis
The most important clinical process for patients with forms of cancer is the accurate estimation of prognosis and survival duration. Patients who volunteer their genomic data run the risk of privacy invasion. Established encryption techniques such as Advanced Encryption Standard (AES) can secure Personal Health Information (PHI) in acquisition and storage, but can only assure secure storage. Ensuring data privacy in computation is a greater challenge.