NCI DREAM paper on Drug Sensitivity prediction was chosen as in the Top 10 papers in 2014 by the ISCB. Read More.
Over the last several years, we’ve run DREAM Challenges under diverse funding models that were based on the either the generosity of scientists donating their time or funding from grants or both. This year we are expanding our funding model through crowd-funding, to raise funds to support monetary prizes for a second DREAM Challenge focused on ALS. The idea is to motivate hundreds of researchers to leverage new clinical data to help find new treatments for ALS by better understanding the disease. The Prize4Life’s crowdfunding site is available on Indiegogo during this sneak preview “Soft Launch” phase. Read More
Amyotrophic lateral sclerosis (ALS), also known as Lou Gehrig’s disease, is a progressive and ultimately fatal neurodegenerative disease affecting 1 in 400 people in which the motor neurons die. There is only one approved treatment but no shortage of clinical trials. Read More.
Using data from old clinical trials, two groups of researchers have found a better way to predict how amyotrophic lateral sclerosis (ALS) progresses in different patients. Read more
A joint blog post discussing Google Cloud’s involvement in the DREAM Somatic Mutation Calling Challenge. Read more
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.