In partnership with The Michael J. Fox Foundation (MJFF), Sage Bionetworks today announced results from the Parkinson's Disease Digital Biomarker DREAM challenge, a research project designed to look for objective digital measures, or biomarkers, of Parkinson's disease (PD). There currently are no Parkinson's biomarkers.
The DREAM challenge asked experts to analyze data from two studies, including MJFF's Levodopa Response Trial. The project aimed to help researchers identify ways to use smartphones and wearable devices to diagnose and track PD. Winners developed methods to detect PD from a walk and balance test, and predict severity of different Parkinson's symptoms using wearables. These approaches could increase the ability to monitor PD outside of doctors' visits.
https://www.michaeljfox.org/foundation/news-detail.php?results-are-in-scientific-experts-advance-ways-to-detect-and-predict-pd
****
Sage Bionetworks in Collaboration with The Michael J. Fox Foundation Announce Winners in the DREAM Parkinson’s Disease Digital Biomarker Challenge
The challenge is aimed at helping refine the use of mobile and wearable sensors to monitor health
SEATTLE--(BUSINESS WIRE)--Sage
Bionetworks announced today the results of the Parkinson’s Disease Digital
Biomarker (PDDM) DREAM challenge, an open crowd-sourced research project
designed to benchmark the use of remote sensors to diagnose and track
Parkinson’s disease (PD). The winners of this Challenge developed methods that
are 38% better than previous models at detecting Parkinson’s disease from a
simple walk and balance test, and can predict severity of different Parkinson’s
symptoms 58% better than baseline models using wearable sensors. These methods
can increase our ability to monitor diseases such as Parkinson’s disease
outside of a clinical setting.
Over 440 data experts from six continents
participated in the PDDB DREAM Challenge, which focused on developing features,
or digital biomarkers, of Parkinson’s disease. This is the first in a series of
open, crowd-sourced analytical projects sponsored by Sage Bionetworks, designed
to help researchers identify ways to use smartphones and remote sensing devices
to monitor health and disease.
The challenge was divided into two
sub-challenges. In the first sub-challenge, participants used accelerometry and
gyroscope data from mPower - a large mobile health study where over 15,000
individuals with PD or controls used their iPhones to, among other things,
perform short walk and balance tests - to extract features that were used to
predict whether the user had PD. In the second sub-challenge, participants
extracted features for three different Parkinson’s symptoms from a study funded
by The Michael J. Fox Foundation (MJFF) where patients performed tasks while
wearing three wearable sensors. These features were used to predict
clinician-assessed disease severity for tremor, dyskinesia and bradykinesia.
Winning Teams
The first sub-challenge was won by Yuanfang
Guan and Marlena Duda from University of Michigan, Ann Arbor, who developed a
deep learning convolutional neural network, one of the most advanced artificial
intelligence techniques to extract features. Their features, when fed into a
predictive model, were able to identify Parkinson’s patients 38% better than
baseline models.
In the second sub-challenge, three different
groups won for their features predicting the different Parkinson’s symptoms.
Bálint Ármin Pataki from Eötvös Loránd University in Hungary took the honors in
building features for tremor severity (11% improvement over baseline). Jennifer
Schaff, Data Scientist at Elder Research, Inc., used statistical methods to
derive features and feature selection to develop the top performing submission
in predicting dyskinesia severity (59% improvement). Team Vision from Columbia
University consisting of Yuanjia Wang and Ming Sun used spectral decomposition
to build features that outperformed all other teams in predicting bradykinesia
(17% improvement).
Next Steps
Challenge winners and other participants have
made their methods and source code publicly available and 85 of the
participants will now move into a collaborative phase of the project. In this
phase, participants will learn from each other and combine methods to both try
to improve the value and interpret the clinical relevance of their features.
Parkinson’s Disease
An estimated five million people worldwide are
living with Parkinson’s, a neurodegenerative disorder that can cause tremors,
gait issues, speech problems, and interfere with memory. These symptoms can
change with disease progression, medical treatment, and some lifestyle
choices. The use of wearables and sensors has the potential to allow
scientists to monitor disease fluctuations and progression to a much higher
fidelity than current methods. Unfortunately, how to interpret and use such data,
especially when collected in the home by the patient, is still an unsolved
problem. New algorithms may eventually allow this data to supplement in-clinic
measurements to help patients manage their disease.
“Increasing the accuracy of remote health
monitoring will expand our ability to understand how our health is influenced
by the context and choices of daily life,” said Paul Tarini, senior program
officer at the Robert Wood Johnson Foundation. “It’s promising to see how
challenges like DREAM are taking this work to the next level and helping us
better understand how to process sensor data so that it is meaningful and
actionable.”
About the Challenge
The project took an open, crowd-source
approach to address the first step in analysis of sensor data – feature engineering,
or the conversion of raw sensor data into analysis-ready data. Top performing
teams used a mixture of signal processing and deep neural networks to predict
disease state and disease severity.
“The proposed solutions were far outside the
traditional techniques used in the field of actigraphy and many of the experts
involved in organizing the challenge are reconsidering the way they interpret
this kind of data,” said Larsson Omberg, VP of Systems Biology of Sage
Bionetworks.
Funding for the challenge has been provided by
the Robert Wood Johnson Foundation (RWJF)
and The Michael J. Fox Foundation for Parkinson’s Research (MJFF).
For additional information about the PD
Digital Biomarkers Challenge: https://www.synapse.org/DigitalBiomarkerChallenge
About DREAM Challenges
First conceived by IBM in 2006, DREAM Challenges have addressed
objectives that range from predictive models for disease progression to
developing models for cell signaling networks. Designed and run by a community
of researchers, DREAM Challenges invite participants to propose solutions,
fostering collaboration and building communities in the process. The DREAM Challenges community shares a
vision of open collaboration to leverage the “wisdom of the crowd” to improve
human health and sciences.
About Sage Bionetworks
Founded in 2009, Sage Bionetworks is a
nonprofit biomedical research organization that promotes innovations in
personalized medicine by enabling a community-based approach to scientific
inquiries and discoveries. In pursuit of this mission, Sage
Bionetworks has assembled an information commons for biomedicine supported
by Synapse, an open compute space. The commons facilitates open
research collaborations and innovative DREAM Challenges; it also
empowers citizens and patients to share data and partner with researchers
through Sage’s BRIDGE platform (https://developer.sagebridge.org/).
About The Michael J. Fox Foundation for
Parkinson’s Research
As the world’s largest nonprofit funder of
Parkinson’s research, The Michael J. Fox Foundation is dedicated to
accelerating a cure for Parkinson’s disease and improved therapies for those
living with the condition today. The Foundation pursues its goals through an
aggressively funded, highly targeted research program coupled with active
global engagement of scientists, Parkinson’s patients, business leaders, clinical
trial participants, donors and volunteers. In addition to funding more
than $750 million in research to date, the Foundation has fundamentally altered
the trajectory of progress toward a cure. Operating at the hub of worldwide
Parkinson’s research, the Foundation forges groundbreaking collaborations with
industry leaders, academic scientists and government research funders;
increases the flow of participants into Parkinson’s disease clinical trials
with its online tool, Fox Trial Finder; promotes Parkinson’s awareness through
high-profile advocacy, events and outreach; and coordinates the grassroots
involvement of thousands of Team Fox members around the world. For more
information, visit us on the Web, Facebook, Twitter, LinkedIn and Pinterest.
Contacts
Sage Bionetworks
Lara Mangravite, 206 667-2201
Lara.mangravite@sagebase.org
Lara Mangravite, 206 667-2201
Lara.mangravite@sagebase.org
https://www.businesswire.com/news/home/20180117006187/en
No comments:
Post a Comment