We recently announced YC AI (https://blog.ycombinator.com/yc-ai/). This is only the first step. Our long term goal is to democratize AI development. We want to make it easier for startups to compete with the big companies.
One thing large companies have is data. We're experimenting with ways to allow startups to get similar assets, and we're starting with medical data.
If you're working on AI and need medical data, please help us by filling out this form: https://goo.gl/Dr9FzB.
CFS is interesting because:
a) Patients' symptoms appear to fluctuate "randomly" but are actually typically a complex function of genetics, blood markers, exercise, diet, medication and other factors.
b) There is considerable low-hanging fruit for pattern recognition, since despite the prevalence of the disease almost nobody has done serious ML work in this space.
c) Huge market opportunity - prevalence is comparable to HIV, and specialists often cite CFS as causing more disability [4] [5].
[1] http://simmaronresearch.com/
[2] http://www.nova.edu/nim/research/mecfs-genes.html
[3] https://med.stanford.edu/chronicfatiguesyndrome.html
[4] https://consults.blogs.nytimes.com/2009/10/15/readers-ask-a-...
[5] Dr. Daniel Peterson (Introduction to Research and Clinical Conference, Fort Lauderdale, Florida, October 1994; published in JCFS 1995:1:3-4:123-125)