Power at your fingertips: CHIC project and iManageCancer collaborate on new prostate cancer model and app

October 31, 2016

iManageCancer and the CHIC project has teamed up to bring the power of a data model for prostate cancer to patient’s phones.

Prostate cancer is a common form of cancer, with more than 1.1 million cases recorded 2012 and accounting for about 8% of all new cases[1].

Following surgery, patient follow-up focuses on early detection and the treatment of tumour recurrence, by monitoring the serum dosage of Prostate Specific Antigen (PSA).

PSA is a protein produced by cells of the prostate gland and tends to be elevated in men with prostate cancer.

Self-management by patients plays an important role in recovery post-surgery.

To speed up this recovery process, patients are expected to carry out a daily pelvic exercise to enhance rehabilitation effectiveness after the surgery.

MyHealthAvatar app

The MyHealthAvatar app from the iManageCancer project helps support patients living with all types of cancer, including prostate.

By encouraging active involvement, patients will take control of their condition through self-monitoring their rehabilitation exercises.

Users receive instruction and information on a moderate amount of physical exercise, diet management, calories intake, and lifestyle. They can update their status anywhere and anytime.

CHIC PSA model

The teams behind MyHealthAvatar at University of Bedfordshire and the University of Turin at the closely related CHIC project spotted an opportunity to involve PSA management in the app.

By joining forces, they incorporated a new PSA prediction model developed by Turin which allows patients to both monitor and input their PSA levels.

This arrangement allows remote supervision by doctors, using the PSA data collected by patients. They can also run the PSA model to predict the progression of the cancer and the possibility of a future relapse.

This work is in collaboration with the cancer modeling team led by Prof Caterina Guiot at the University of Turin, and the Centre for Computer Graphics and Visualization at the University of Bedfordshire led by Prof Feng Dong with support from the European Commission through research projects: iManageCancer(643529), CHIC (600841) and MyHealthAvatar (600929).


[1] http://www.wcrf.org/int/cancer-facts-figures/data-specific-cancers/prostate-cancer-statistics