Welcome!

Agile Computing Authors: Pat Romanski, Liz McMillan, Sematext Blog, Elizabeth White, Kevin Benedict

Blog Feed Post

From the Intel Newsroom: Improving Parkinson’s Disease Monitoring and Treatment through Advanced Technologies

By

Editor’s note: The use case articulated here is important on its own, but is also one that can be repeatable across multiple other medical research activities and diseases. Thanks Intel and Cloudera for the technology and thanks to the Michael J. Fox Foundation for Parkinson’s Research (MJFF) for what you are doing here.  Be sure to see the video at this link and embedded below. Also, learn more about MJFF  on the WebFacebookTwitterLinkedIn and Pinterest.- bg

From: http://ctolink.us/1oT7zX2

The Michael J. Fox Foundation and Intel Join Forces to Improve Parkinson’s Disease Monitoring and Treatment through Advanced Technologies

 

  • Big data analytics and data from wearable computing offer potential to improve monitoring and treatment of Parkinson’s disease.
  • The Intel-built big data analytics platform combines hardware and software technologies to provide researchers with a way to more accurately measure progression of disease symptoms.

NEW YORK and SANTA CLARA, Calif. (Aug. 13, 2014) — The Michael J. Fox Foundation for Parkinson’s Research (MJFF) and Intel Corporation announced today a collaboration aimed at improving research and treatment for Parkinson’s disease — a neurodegenerative brain disease second only to Alzheimer’s in worldwide prevalence. The collaboration includes a multiphase research study using a new big data analytics platform that detects patterns in participant data collected from wearable technologies used to monitor symptoms. This effort is an important step in enabling researchers and physicians to measure progression of the disease and to speed progress toward breakthroughs in drug development.

“Nearly 200 years after Parkinson’s disease was first described by Dr. James Parkinson in 1817, we are still subjectively measuring Parkinson’s disease largely the same way doctors did then,” said Todd Sherer, PhD, CEO of The Michael J. Fox Foundation. “Data science and wearable computing hold the potential to transform our ability to capture and objectively measure patients’ actual experience of disease, with unprecedented implications for Parkinson’s drug development, diagnosis and treatment.”

“The variability in Parkinson’s symptoms creates unique challenges in monitoring progression of the disease,” said Diane Bryant, senior vice president and general manager of Intel’s Data Center Group. “Emerging technologies can not only create a new paradigm for measurement of Parkinson’s, but as more data is made available to the medical community, it may also point to currently unidentified features of the disease that could lead to new areas of research.”

 

Tracking an Invisible Enemy
For nearly two decades, researchers have been refining advanced genomics and proteomics techniques to create increasingly sophisticated cellular profiles of Parkinson’s disease pathology. Advances in data collection and analysis now provide the opportunity to expand the value of this wealth of molecular data by correlating it with objective clinical characterization of the disease for use in drug development.

The potential to collect and analyze data from thousands of individuals on measurable features of Parkinson’s, such as slowness of movement, tremor and sleep quality, could enable researchers to assemble a better picture of the clinical progression of Parkinson’s and track its relationship to molecular changes. Wearables can unobtrusively gather and transmit objective, experiential data in real time, 24 hours a day, seven days a week. With this approach, researchers could go from looking at a very small number of data points and burdensome pencil-and-paper patient diaries collected sporadically to analyzing hundreds of readings per second from thousands of patients and attaining a critical mass of data to detect patterns and make new discoveries.

MJFF and Intel initiated a study earlier this year to evaluate the usability and accuracy of wearable devices for tracking agreed physiological features from participants and using a big data analytics platform to collect and analyze the data. The participants (16 Parkinson’s patients and nine control volunteers) wore the devices during two clinic visits and at home continuously over four days.

Bret Parker, 46, of New York, is living with Parkinson’s and participated in the study. “I know that many doctors tell their patients to keep a log to track their Parkinson’s,” said Parker. “I am not a compliant patient on that front. I pay attention to my Parkinson’s, but it’s not everything I am all the time. The wearables did that monitoring for me in a way I didn’t even notice, and the study allowed me to take an active role in the process for developing a cure.”

Intel data scientists are now correlating the data collected to clinical observations and patient diaries to gauge the devices’ accuracy, and are developing algorithms to measure symptoms and disease progression.

Later this year, Intel and MJFF plan to launch a new mobile application that enables patients to report their medication intake as well as how they are feeling. The effort is part of the next phase of the study to enable medical researchers to study the effects of medication on motor symptoms via changes detected in sensor data from wearable devices.

Collecting, Storing and Analyzing the Data
To analyze the volume of data, more than 300 observations per second from each patient, Intel developed a big data analytics platform that integrates a number of software components including Cloudera® CDH* — an open-source software platform that collects, stores, and manages data. The data platform is deployed on a cloud infrastructure optimized on Intel® architecture, allowing scientists to focus on research rather than the underlying computing technologies. The platform supports an analytics application developed by Intel to process and detect changes in the data in real time. By detecting anomalies and changes in sensor and other data, the platform can provide researchers with a way to measure the progression of the disease objectively.

In the near future, the platform could store other types of data such as patient, genome and clinical trial data. In addition, the platform could enable other advanced techniques such as machine learning and graph analytics to deliver more accurate predictive models that researchers could use to detect change in disease symptoms. These advances could provide unprecedented insights into the nature of Parkinson’s disease, helping scientists measure the efficacy of new drugs and assisting physicians with prognostic decisions.

Shared Commitment to Open-Access Data
MJFF and Intel share a commitment to increasing the rate of progress made possible by open access to data. The organizations aim to share data with the greater Parkinson’s community of physicians and researchers as well as invite them to submit their own de-identified patient and subject data for analysis. Teams may also choose to contribute de-identified patient data for inclusion in broader, population-scale studies.

The Foundation has previously made de-identified data and bio-samples from its sponsored studies available to qualified researchers, including from individuals with a Parkinson’s-implicated mutation in their LRRK2 gene. MJFF has also opened access to resources from its landmark biomarker study the Parkinson’s Progression Markers Initiative (PPMI) since it launched in 2010. Parkinson’s scientists around the world have downloaded PPMI data more than 235,000 times to date.

Big_Data_Analytics_Platform

 

Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley writes on enterprise IT. He is a founder and partner at Cognitio Corp and publsher of CTOvision.com

@ThingsExpo Stories
IoT is rapidly changing the way enterprises are using data to improve business decision-making. In order to derive business value, organizations must unlock insights from the data gathered and then act on these. In their session at @ThingsExpo, Eric Hoffman, Vice President at EastBanc Technologies, and Peter Shashkin, Head of Development Department at EastBanc Technologies, discussed how one organization leveraged IoT, cloud technology and data analysis to improve customer experiences and effi...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform and how we integrate our thinking to solve complicated problems. In his session at 19th Cloud Expo, Craig Sproule, CEO of Metavine, will demonstrate how to move beyond today's coding paradigm ...
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
With 15% of enterprises adopting a hybrid IT strategy, you need to set a plan to integrate hybrid cloud throughout your infrastructure. In his session at 18th Cloud Expo, Steven Dreher, Director of Solutions Architecture at Green House Data, discussed how to plan for shifting resource requirements, overcome challenges, and implement hybrid IT alongside your existing data center assets. Highlights included anticipating workload, cost and resource calculations, integrating services on both sides...
"We are a well-established player in the application life cycle management market and we also have a very strong version control product," stated Flint Brenton, CEO of CollabNet,, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Unless your company can spend a lot of money on new technology, re-engineering your environment and hiring a comprehensive cybersecurity team, you will most likely move to the cloud or seek external service partnerships. In his session at 18th Cloud Expo, Darren Guccione, CEO of Keeper Security, revealed what you need to know when it comes to encryption in the cloud.
We're entering the post-smartphone era, where wearable gadgets from watches and fitness bands to glasses and health aids will power the next technological revolution. With mass adoption of wearable devices comes a new data ecosystem that must be protected. Wearables open new pathways that facilitate the tracking, sharing and storing of consumers’ personal health, location and daily activity data. Consumers have some idea of the data these devices capture, but most don’t realize how revealing and...
What are the successful IoT innovations from emerging markets? What are the unique challenges and opportunities from these markets? How did the constraints in connectivity among others lead to groundbreaking insights? In her session at @ThingsExpo, Carmen Feliciano, a Principal at AMDG, will answer all these questions and share how you can apply IoT best practices and frameworks from the emerging markets to your own business.
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
Traditional IT, great for stable systems of record, is struggling to cope with newer, agile systems of engagement requirements coming straight from the business. In his session at 18th Cloud Expo, William Morrish, General Manager of Product Sales at Interoute, outlined ways of exploiting new architectures to enable both systems and building them to support your existing platforms, with an eye for the future. Technologies such as Docker and the hyper-convergence of computing, networking and sto...
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, discussed the importance of WebRTC and how it enables companies to focus...
With an estimated 50 billion devices connected to the Internet by 2020, several industries will begin to expand their capabilities for retaining end point data at the edge to better utilize the range of data types and sheer volume of M2M data generated by the Internet of Things. In his session at @ThingsExpo, Don DeLoach, CEO and President of Infobright, discussed the infrastructures businesses will need to implement to handle this explosion of data by providing specific use cases for filterin...
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley. The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
Early adopters of IoT viewed it mainly as a different term for machine-to-machine connectivity or M2M. This is understandable since a prerequisite for any IoT solution is the ability to collect and aggregate device data, which is most often presented in a dashboard. The problem is that viewing data in a dashboard requires a human to interpret the results and take manual action, which doesn’t scale to the needs of IoT.