By Bio-IT World Staff
May 1, 2014 | Bio-IT World announced the
winners of its tenth annual Best Practices Awards competition yesterday morning
in a plenary session at the 2014 Bio-IT World Conference & Expo in Boston.
Grand prize winners were named in five
life sciences categories highlighting best practices in clinical trial IT,
research infrastructure, bioinformatics, cloud computing and data management
from AstraZeneca and Tessella, U-BIOPRED, the Pistoia Alliance, Baylor College
of Medicine, and Genentech.
In addition, a Judges’ Prize was awarded
to the UK National Health Service and the Editors’ Choice Award was given to
the Icahn School of Medicine at Mt. Sinai.
Projects from AstraZeneca and
TrialNetworks received honorable mention.
“We are delighted to honor these
outstanding organizations for their forward-thinking approaches to solving the
challenges facing the biomedical community today,” said Allison Proffitt,
editor of Bio-IT World. “For the ten years we have presented
the Best Practices Awards, the innovation of our entrants has consistently
surprised and impressed us. This year’s winners are advancing the life sciences
in ways that deserve to be recognized and replicated.”
The Best Practices Awards program was
established in 2003 by the editors of Bio-IT
World to recognize information technology that advances basic biomedical
research, drug discovery, and clinical trials. The ceremony took place this morning at the World
Trade Center in Boston, where the awards were presented by Allison Proffitt and
William Van Etten, a founding member of BioTeam.
A panel of ten invited expert judges joined
the editors to select winners in five categories as well as two special awards
from the judges and the editors. Grand prize trophies were presented to the
following organizations in these categories:
Clinical & Health IT:
AstraZeneca and Tessella
Real Time Analytics for Clinical
REACT system, implemented with input from Tessella, tracks vital statistics,
laboratory tests and adverse events on both population and subject-specific
levels during the course of a clinical trial. By collecting this information
together in a platform with flexible visualization and query features, as well
as a complete profile for each patient, REACT allows AstraZeneca to respond
rapidly to safety concerns and swiftly identify risk factors for adverse events,
protecting trial participants while rescuing trials from costly late-stage
IT Infrastructure & HPC:
Baylor College of Medicine
CHARGE: Large-Scale Genomic
Analysis in the Cloud
fulfill its role in the CHARGE (Cohorts for Heart and Aging Research in Genomic
Epidemiology) Consortium, Baylor College of Medicine undertook the largest
genome analytics project in the cloud to date, using the DNAnexus platform.
Using DNAnexus allowed Baylor to annotate 4,000 whole genomes and 11,000 whole
exomes in record time, without monopolizing the local compute cluster.
Research & Drug Discovery:
tranSMART-Based U-BIOPRED Study
U-BIOPRED Knowledge Portal, built into the tranSMART platform for clinical and
-omics data management, a consortium of over 30 partners from industry and
academia were able to securely share longitudinal clinical, proteomic, and
transcriptomic data on hundreds of respiratory disease patients in a search for
Informatics: The Pistoia Alliance
Hierarchical Editing Language for
HELM is a
system of standardized naming for complex biomolecules, which defines these
molecules as rigorously as chemists have long defined simpler compounds. By
describing biomolecules through a hierarchical sequence of monomers, the open
source HELM technology allows researchers and organizations to rapidly enter,
share, and modify molecules without ambiguity.
Knowledge Management: Genentech
Genentech Cell Line Resource
centralized cell line bank contains over 1,800 cell lines, each represented by
an average of 90,000 vials. By creating the gCell web platform to track and
characterize these cell lines, Genentech has been able to create a genetic
definition of each line, flag contamination and mislabeling, and curate new
knowledge about individual cell lines to guide and optimize future research.
Editors’ Prize: The Icahn School of Medicine at Mt. Sinai
Rethinking Type 2 Diabetes Through Topological Analysis
In analyzing medical records and genetic data on over 11,000 patients with Type 2 Diabetes, Mt. Sinai used Ayasdi’s insight discovery platform, which draws correlations between diverse data points through topological analysis. By clustering cases together based on features shared by specific cohorts, Mt. Sinai arrived at a novel hypothesis that Type 2 Diabetes should be treated as three separate conditions with distinct contributing factors. This analysis suggests a precision medicine approach may be beneficial for treating Type 2 Diabetes.
Judges’ Prize: UK National Health Service
Riak Deployment for Spine2 Distributed Database
The Spine database connects patient and services information across 27,000 British organizations that provide NHS care. By implementing Basho’s open source Riak database for the Spine2 overhaul of this system, the NHS can now instantaneously update information on any of the 80 million patients it serves, such that the new information is visible to any care provider, while maintaining a leaner and more flexible IT infrastructure that can be managed entirely in-house.
The 2015 Bio-IT World Best Practices competition will begin soliciting
entries in October 2014. Contact: Allison Proffitt: firstname.lastname@example.org, 617-233-8280.