Algorithm helps patients who suffer from late effects of breast cancer

Algorithm helps patients who suffer from late effects of breast cancer

Intro
Fortunately, more than 85 percent of Danes who get breast cancer survive. Unfortunately, many of these people have to live with late effects such as depression or sensory disturbances.

Challenge
The medical science has been adept at preventing breast cancer patients from dying. The challenge now is to be better at locating who is at risk of developing late effects of both the disease and the treatment. Many factors come into play. The task is to create an overview so that doctors and other professionals can begin to treat these late effects – preferably before the late effects ruin a patient’s daily life.

Solution
Develop a so-called dynamic knowledge bank, using data obtained from research databases and breast cancer survivors. For the knowledge bank to be used and not only serve as the retention of a lot of fragmented information, algorithms that can find answers and see patterns in a large amount of data collected across databases, donated data and sectors need to be developed and trained. Enversion A/S is behind the development of these algorithms in close collaboration with some of the country’s leading cancer researchers. The project is funded by 11,3 million Danish kroner from Knæk Cancer (’Beat Cancer’) 2017.

Results
Late effects in patients who have survived breast cancer can be prevented or treated much earlier in the course of the disease, way better than what is being done right now. Not only will it save patients and their relatives many worries, but it will also save the community a lot of money on treatment procedures.

To sum up
You can transform the healthcare system from reactive to proactive if you use data intelligently.

Curious?
Give Simon Lauritsen a call at +45 3055 4920. He is looking forward to hearing from you.

Skills

Posted on

September 4, 2018

Skills

Posted on

September 4, 2018