Andrew Lash at Xconomy discusses a variety of efforts to better understand Alzheimer’s Disease, including the DREAM AD#1 Challenge. Read more
A study published June 1 in the journal Nature Biotechnology describes the results of an open challenge to predict which breast cancer cell lines will respond to which drugs, based only on the sum of cells’ genomic data. Read more
Competition to develop more efficient treatment strategies for breast cancer patients awards six leading teams cash prizes. Read full article
Global CEO Initiative on Alzheimer’s Disease Announces a Big Data Challenge to Find New Predictors of Cognitive Decline. Full article here.
Canadian and US Leaders in Cancer Research Announce a Big Data Challenge to Develop Robust Methodologies for Predicting Cancer Mutations. Full article here.
Computational challenges are tapping the collective wisdom of the scientific community to solve medicine’s biggest problems. Full article here.
The Breast Cancer’s DREAM challenge (DREAM7) on Science Translation Medicine. See the published articles:
A. A. Margolin, E. Bilal, E. Huang, T. C. Norman, L. Ottestad, B. H. Mecham, B. Sauerwine, M. R. Kellen, L. M. Mangravite, M. D. Furia, H. K. M. Vollan, O. M. Rueda, J. Guinney, N. A. Deflaux, B. Hoff, X. Schildwachter, H. G. Russnes, D. Park, V. O. Vang, T. Pirtle, L. Youseff, C. Citro, C. Curtis, V. N. Kristensen, J. Hellerstein, S. H. Friend, G. Stolovitzky, S. Aparicio, C. Caldas, A.-L. BÃ¸rresen-Dale, Systematic Analysis of Challenge-Driven Improvements in Molecular Prognostic Models for Breast Cancer. Sci. Transl. Med. 5, 181re1 (2013).
W.-Y. Cheng, T.-H. O. Yang, D. Anastassiou, Development of a Prognostic Model for Breast Cancer Survival in an Open Challenge Environment. Sci. Transl. Med. 5, 181ra50 (2013).
Please follow the links to read in different venues about this translational medicine challenge.
Bio-IT-World: Algorithm to Decrease Needed Number of ALS Clinical Trial Patients
Boston.com: Prize4Life taps into global big data expertise to fight Lou Gehrig’s disease
San Francisco Business Times: Stanford team winds $20K for algorithm aimed at Lou Gehrig’s disease drug trials
An interesting discussion in the blog: “21st Century Scientist, Thoughts on modern scientific research“, on the pros and cons of sharing code in collaborative-competitions such as the Sage Bionetworks-DREAM challenge.
Check this link to solve the SAGE/DREAM challenge as a game!