[Comp-neuro] New computational challenge on Big Data and neurodegenerative diseases

Neta Zach nzach at prize4life.org
Tue Jul 7 22:26:12 CEST 2015

Prize4Life, Sage Bionetworks and DREAM are proud to announce the launch of The
DREAM ALS Stratification Prize4Life Challenge
<https://www.synapse.org/#!Synapse:syn2873386/wiki/>. The prize, is
a computational challenge inviting bioinformatics, statisticians,
computation geeks and math geniuses to work on the PRO-ACT database and
identify meaningful subgroups of ALS patients. The challenge offers a
$28000 prize and journal partnership with Nature Biotechnology. You can
read more about it  here
join our Webinar about it on Wednesday
<https://attendee.gotowebinar.com/register/2656120293543998721> July 8 at
11am EST.

While most ALS patients die with 3-5 years, but some patients, like Stephen
Hawking, survive much longer. What differentiates the Stephen Hawkings from
the Lou Gehrigs? Is ALs one disease or several sub-disease? the challenge
invite participants to devleop algorithms that can stratify the ALS patient
population into meaningful subgroups with distinct features. You can read
more about it here

A previous Challenge, the ALS Prediction Prize
ran in 2012, using only a small subset of the full database, led to the
creation of solutions that are able to reduce by 20% the number of patients
needed for effective ALS clinical trials, a millions of dollars reduction
in the costs of each future ALS clinical trials and are used by several
drug companies. Furthermore, the Challenge’s winning algorithms identified
novel features of ALS pathology that are predictive of disease progression.
The Challenge summary was published in Nature biotechnology
<http://www.nature.com/nbt/journal/v33/n1/full/nbt.3051.html> and were also
covered by Science News
, Science Translational Medicine
<http://stm.sciencemag.org/content/6/264/264ec204.full> and a News and
views piece in Nature biotechnology

The ALS Stratification Challenge aims to go beyond the prediction prize and
bring us one step closer to personalized medicine- to accurately and
effectively identify meaningful subgroups of diverse ALS patients and the
predictive models and features  specific to these subgroups.  Winners will
win $28000 and the winning submissions with be published with a journal
partnership from Nature Biotechnology.

 You can read more- and Join!- here

Neta Zach, PhD  | Chief Scientific Officer
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