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Researchers developed a mathematical model to forecast metastatic breast cancer survival using techniques usually reserved for weather prediction and financial forecasting. They looked at 25 years of data regarding 446 patients at Memorial Sloan Kettering and focused on a subgroup who were diagnosed with localized disease but later relapsed with metastatic disease. The model shows cancer metastasis is neither random nor unpredictable. 
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Robert S. Engelmore Memorial Award Lecture - Cancer results from finite genomic mutations that biotechnology can easily list, and that we can mostly understand and reason about in terms of the underlying biochemistry.
Phillip Trotter's insight:
Jay Tenenbaum - an industry leading A.I researcher gives a great lecture on the role of A.I in finding cures from Cancer. He speaks with authority of not just being a leading researcher in the area but also a cancer survivor. If you are interested in understanding the role of information science in biology this is a great presentation, worth watching.
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Since this touches on some of our own research areas - the paper is a must read and an excellent piece of research more importantly its hopefully a major step forward in helping find effective treatment for metastatic cancer. An excellent example of systems modelling and applying insights from one field to another.