We're interested in the expandability of collaborative research and new models of how discovery happens. Our research series started with one patient and one genome and 150 engineers and researchers looking for new insights to help push the body of knowledge forward for a rare neuro-cancer. This gathering showed incredible results and showed promise for how short bursts of research could be useful and integrated into established laboratories.
- Advance research.
- Contribute to real, ongoing patient cases.
- Create interdisciplinary networks of computer scientists and biologists.
- Learn and develop skills in AI/ML, computational biology and cancer genomics.
- Build an open community for collaborative biomedicine discovery.
We're working with genome sequencing partners to produce novel open datasets for our research community. We are also collaborating with entities like the NIH Cancer Genome Atlas.
We're interested in partnering with technology, genomics and medical organizations across the non-profit, foundation, startup and large enterprise spectrum. Please get in touch to learn more about partnership opportunities.
We are actively working on researching and selecting our next areas of focus. We partner with patient communities as a foundation to the disease categories we select for research. If you are connected to a patient community and would like to help organize more research for that disease category, please get in touch with us!
AI/ML Engineers & Medical Researchers:
Our research events will occur approximately on a quarterly basis. Please join our mailing list to be the first to hear when the next one is live! In addition to SF, we are working to bring the research series to New York City and Minneapolis in 2018.
Neurofibromatosis Type 2 (NF2)
Papillary Renal-Cell Carcinoma type 1 (p1RCC)
12 external media pieces were produced including articles from Xconomy, Neo.Life, UCSF, and Handelsblatt.
Ambitious High School Students, Undergrads, Grad Students, PhD’s, Postdocs. Full spectrum of Engineering & Life Sciences Roles from Leading Companies.
AI/ML, Deep Learning, Bioinformatics, Computational Biology, Genomics, Computer Science, Electrical Engineering, Physics, Math, Cancer Researchers, MD’s
Participant University Affiliations
Stanford, MIT, UCSF, UC Berkeley, Cal Tech, Carnegie Mellon, U Chicago, Harvard, Princeton, University of Minnesota and many more.
Participants Traveled From
New York City, Minnesota, Boston, Chicago, Maryland, Arizona, Southern California.