Support our Mission
Our business model relies on corporate sponsors, donations from patrons like you and income from the services we provide to the research community.
How we’re helping
We are a non-profit social enterprise that believes the cure for cancer will be found with computers. So, we’re building a big one, and dedicating it to cancer research.
As a not-for-profit social enterprise we rely on the most precious of donations, time. If you have the time, skills and commitment to join our volunteer team we’d love to talk to you.
Server Naming Fundraiser
Name a server in honor of a loved one for $500 per server.
You will receive a photo of the server, and an annual update of what projects the server is working on.
This will help offset the cost of the electricity to run the server.
Thank You Ross Video
In the summer of 2017, Ross Video was kind enough to donate 5 Dell servers, 2 storage units and two network switches. It took a little while to get it deployed, as we needed save up to purchase some accessories to reconfigure the hardware for our purposes.
It is now at the Cancer Computer main office, in a development lab. This lab will be our first foray into machine learning on “big data”, looking for patterns in clinical data. This will give our new bioinformatics volunteers, access to examine, and supervise the machine learning to focus in on what meaningful patterns can be found in terabytes of data.
This will provide our bioinformatics volunteers with valuable experience, as we tune our AI and take on two new machine-learning projects, later in this year.
THE CURE IS IN THE CODE
“Computers will cure Cancer”
– Jerome S. Engle, Founding Executive Director, Lester Centre for Entprepreneurship, Berkeley Has School of Business
Modern cancer research methodologies are based in large part on advancing our understanding of the various ways drugs might be designed to address a particular cancer. Researchers using software tools translate theory into mathematical models that work to identify new ways of suppressing the genes that cause cancerous tumors to form, or analyze the clinical data outcomes from human or animal drug therapies. As pervasive as computers are in our everyday life the compute resources that researchers need to drive their work are scarce, expensive and without information technology skills and expertise, difficult to harness.