Caris Life Sciences needed to more efficiently process, analyze, manage and store terabytes of data daily from cancer patient samples. They deployed an IBM high-performance computing solution including servers, storage technologies, and analytics software. This enabled Caris to speed up analysis of molecular data to advance personalized cancer treatment options for patients. The solution provided massive scalability and processing power to handle Caris' large and growing data needs.
Where Technology Meets Medicine: SickKids High Performance Computing Data CentreScalar Decisions
Case study look at the work Scalar conducted on the High-Performance Computing Data Centre at the Hospital for Sick Children (SickKids). The system is able to do 107 trillion calculations per second - one of the largest systems dedicated to health research.
En utilisant l’apprentissage de models sur des données collectées dans les dossiers patients d’un réseau d’hôpitaux et du machine learning, il est possible de prédire le risque de ré-hospitalisation dans 30 ou 90 jours pour des insuffisants cardiaque. Valère présente la création d’un Cloud Collaboratif sur le Cancer qui offre la possibilité aux Hôpitaux des Etats Unis de donner accès à un très grand nombre de dossiers patients atteint du Cancer.
I gave this talk in the "Presidential Symposium" at the annual meeting of the American Association of Physicists in Medicine, in Annaheim, California. The President of AAPM, Dr. Maryellen Giger, wanted some people to give some visionary talks. She invited (I kid you not) Foster, Gates, and Obama. Fortunately Bill and Barack had other commitments, so I did not need to share the time with them.
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...Amazon Web Services
In the past ten years, the cost of sequencing a human genome has fallen from $3 billion dollars to $1,000, unlocking the ability for clinicians to use genomics in routine care. As the volume of genomic data used in the clinic begins to grow, healthcare providers are facing a number of new IT challenges, such as how to integrate this data with clinical data stored in electronic medical records, and how to make both available in real time to inform clinical decisions. In this session, find out how UCSF Medical Center and Syapse met these challenges head-on and solved them using AWS, all while remaining compliant with privacy and security requirements. Learn how Syapse's precision medicine platform uses Amazon VPC, Dedicated Instances, Amazon EC2, and Amazon EBS to build a high performance, scalable, and HIPAA-compliant data platform that enables UCSF to deliver on the promise of precision medicine by dramatically reducing time and increasing the accuracy and utility of genomic profiling in cancer treatment.
A talk by Dr. Diana Coman Schmid, Personalized Health Data Services Manager. Scientific IT Services, ETHZ. Held on the occasion of Geek Girls Carrots' meetup on the 10th of March 2018.
Outline
Value Based Healthcare System – How it is seen today
Healthcare Challenge & IoT as a Solution
IoT – Big Data Structure
Recent Trends in IoT Big Data Analytics
Challenges & Our Future
In-depth Knowledge of
What causes the most premature death?
Distribution of Disease burden from 1990 - 2020
Challenges in Healthcare
Future Healthcare
IoT Machine Talking to Machine
Prediction of IoT Usage
About PEPGRA HEALTHCARE,
A leading healthcare communication firm with years of excellence serving clients with a dedicated team of Medical, Regulatory and Scientific writers specialized in all therapeutic areas.
Contact us at :
UK: +44-1143520021
US/Canada: +1-972-502-9262
India: +91-8754446690
info@pepgra.com
www.pepgra.com
Where Technology Meets Medicine: SickKids High Performance Computing Data CentreScalar Decisions
Case study look at the work Scalar conducted on the High-Performance Computing Data Centre at the Hospital for Sick Children (SickKids). The system is able to do 107 trillion calculations per second - one of the largest systems dedicated to health research.
En utilisant l’apprentissage de models sur des données collectées dans les dossiers patients d’un réseau d’hôpitaux et du machine learning, il est possible de prédire le risque de ré-hospitalisation dans 30 ou 90 jours pour des insuffisants cardiaque. Valère présente la création d’un Cloud Collaboratif sur le Cancer qui offre la possibilité aux Hôpitaux des Etats Unis de donner accès à un très grand nombre de dossiers patients atteint du Cancer.
I gave this talk in the "Presidential Symposium" at the annual meeting of the American Association of Physicists in Medicine, in Annaheim, California. The President of AAPM, Dr. Maryellen Giger, wanted some people to give some visionary talks. She invited (I kid you not) Foster, Gates, and Obama. Fortunately Bill and Barack had other commitments, so I did not need to share the time with them.
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...Amazon Web Services
In the past ten years, the cost of sequencing a human genome has fallen from $3 billion dollars to $1,000, unlocking the ability for clinicians to use genomics in routine care. As the volume of genomic data used in the clinic begins to grow, healthcare providers are facing a number of new IT challenges, such as how to integrate this data with clinical data stored in electronic medical records, and how to make both available in real time to inform clinical decisions. In this session, find out how UCSF Medical Center and Syapse met these challenges head-on and solved them using AWS, all while remaining compliant with privacy and security requirements. Learn how Syapse's precision medicine platform uses Amazon VPC, Dedicated Instances, Amazon EC2, and Amazon EBS to build a high performance, scalable, and HIPAA-compliant data platform that enables UCSF to deliver on the promise of precision medicine by dramatically reducing time and increasing the accuracy and utility of genomic profiling in cancer treatment.
A talk by Dr. Diana Coman Schmid, Personalized Health Data Services Manager. Scientific IT Services, ETHZ. Held on the occasion of Geek Girls Carrots' meetup on the 10th of March 2018.
Outline
Value Based Healthcare System – How it is seen today
Healthcare Challenge & IoT as a Solution
IoT – Big Data Structure
Recent Trends in IoT Big Data Analytics
Challenges & Our Future
In-depth Knowledge of
What causes the most premature death?
Distribution of Disease burden from 1990 - 2020
Challenges in Healthcare
Future Healthcare
IoT Machine Talking to Machine
Prediction of IoT Usage
About PEPGRA HEALTHCARE,
A leading healthcare communication firm with years of excellence serving clients with a dedicated team of Medical, Regulatory and Scientific writers specialized in all therapeutic areas.
Contact us at :
UK: +44-1143520021
US/Canada: +1-972-502-9262
India: +91-8754446690
info@pepgra.com
www.pepgra.com
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• Looking into the future, what role will machine learning play in transforming healthcare?
• How can my company prepare for machine learning?
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• Looking into the future, what role will machine learning play in transforming healthcare?
• How can my company prepare for machine learning?
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1. IBM Systems and Technology
Case Study
Life Sciences
Caris Life Sciences
Rapidly deploys an IBM high-performance computing
solution to advance personalized care for patients
Overview
The need
As it worked to transform personalized
cancer treatment, Caris Life Sciences
needed to more efficiently process,
analyze, manage and store terabytes of
laboratory-generated data each day.
The solution
The company deployed IBM high-
performance computing and storage
technologies including IBM® NeXtScale
System™ servers, IBM Platform™
HPC and Elastic Storage solutions.
The benefit
The IBM solutions enabled Caris Life
Sciences to speed up the quest for better
treatment options for patients with an
improved ability to make sense of vast,
complex and ever-changing volumes of
molecular data.
Caris Life Sciences is a leading biosciences company fulfilling the promise
of precision medicine through quality and innovation. The company ana-
lyzes molecular data from a patient’s tumor with biomarker/drug
associations to provide clinically actionable information to help doctors
personalize treatment for cancer patients. To date, 65,000 plus patients
have been profiled, ordered by nearly 7,000 oncologists in 63 countries.
Headquartered in Irving, Texas, Caris offers services throughout the
US, Europe, Australia and other international locations.
A leader in medical science—and in using
big data
As the molecular profiling Caris performs for patients has advanced, the
company’s needs for managing high-performance analytics and rapidly
growing data storage have grown exponentially. To meet these challenges,
Caris needed a scalable, massively parallel computing environment along
with a petabyte-scale storage solution to manage both data complexity
and overall size. “We are a company in the vanguard of molecular
“The reason why Caris Life Sciences invested in this computing
system,” says Dr. David Spetzler, vice president of research
and development, “is that we have a vision of making
personalized medicine something that is an integrated part of
all of healthcare.”
2. 2
Case Study
IBM Systems and Technology Life Sciences
Solution components
●●
IBM® NeXtScale System™
●●
Intel® Xeon® processors
●●
IBM Platform™ HPC
●●
IBM Storage Solutions including:
– Elastic Storage based on GPFS™
technology
– IBM Tivoli® Storage Manager
– IBM System Storage® DCS3700
– IBM TS3310 tape library
– Linear Tape-Open(LTO) Ultrium 6
data cartridge
Business Partner
●●
Re-Store
diagnostics,” notes Dr. George Poste, vice chairman at Caris Life
Sciences, “but that also requires us to be in the vanguard of medical
information services, because our product is the information used to
make a decision on how to treat a patient.”
Adds Dr. David Spetzler, vice president of research and development,
“We test so many different features of the cancer and integrate that infor-
mation in a complex bioinformatic pipeline that we’re the heralds and the
generators of what people call ‘big data.’ We’re generating terabytes of
data per day on individual patient samples. So when people talk about big
data, that’s small to us. We are generating huge data.”
To handle those data needs—which typically involve storing terabytes of
data for patients—Caris needed computing and storage environments
that could also accommodate different workloads from other business
units. It needed to help ensure compliance with regulatory guidelines
such as Clinical Laboratory Improvement Amendments (CLIA) and stan-
dards of the College of American Pathologists (CAP), International
Organization for Standardization (ISO) and the US Food and Drug
Administration (FDA). It needed a solution that would integrate with
other computing and storage bioinformatics operations, enhance collabo-
ration and support organizational growth with access from multiple
locations.
Rapid implementation to meet urgent needs
Importantly, Caris also needed a solution that it could implement
quickly. With its “technology-agnostic” approach using a wide variety
of methodologies to generate optimal patient data, the company’s
existing environment was rapidly becoming inadequate. Caris had
already implemented new leading-edge sequencing appliances, and
data from those appliances was being generated and stored. At that point,
Caris met with IBM Business Partner Re-Store.
Working together, the companies developed the scalable, data-aware,
secure infrastructure necessary for molecular analysis and data storage.
Installation of the solution was completed in less than two months after
the first meeting. “The Re-Store team worked hand in hand with our IT
department to very, very quickly bring the system up,” states Dr. Spetzler.
“It was an incredibly useful relationship. Time is of the essence for us.
We’re fighting a deadly disease and we don’t have time to waste.”
3. 3
Case Study
IBM Systems and Technology Life Sciences
“Time is of the essence for us.
We’re fighting a deadly disease
and we don’t have time to
waste.”
—Dr. David Spetzler, vice president of research
and development, Caris Life Sciences
Supercomputing power for today and tomorrow
Caris next-generation sequencing (NGS) processes are fully supported
by IBM supercomputing technologies, including processing by
IBM NeXtScale System servers powered by two Intel® Xeon®
E5-2600 v2 series processors; IBM storage solutions including Elastic
Storage based on IBM General Parallel File System (GPFS™) software
and IBM System Storage® DCS3700 disk systems; archiving on the
IBM TS3310 tape library with Linear Tape-Open (LTO) Ultrium 6 data
cartridge; and management with IBM Platform HPC and IBM Tivoli®
Storage Manager. Massive scalability provides 40 core processors per
blade—which at initial implementation translated to 320 processors for
quickly analyzing data.
The result is a computing and storage system that can be provisioned and
re-provisioned nondisruptively. “One of the key features of the architec-
ture that attracted us to the IBM system was the fully integrated informa-
tion storage system,” says Dr. Spetzler. “Couple that with the underlying
core processing speed and you have a very robust system capable of doing
a massive amount of multithreaded analysis on this incredible dataset that
we generate every day.”
For Caris, powerful analytics enables faster insight as they study the
genomic alterations that may be driving a cancer—and as they identify
therapeutic strategies that enable oncologists to improve treatment. For
patients, analytics means the ability to obtain more accurate testing results
faster to help fight their disease more effectively. “The physician of the
future will be dependent upon analytics and clinical decision support sys-
tems,” says Dr. Poste. “For certain diseases we’re already at a point where
computers are more accurate in diagnosing the disease than most physi-
cians. So as you fast-forward five, 10, 15 years, data is going to translate
to more and more robust predictive datasets.”
Concludes Dr. Spetzler: “Caris Life Sciences invested in this computing
system because we have a vision for the future of making personalized
medicine not just accessible to those patients who are working with
great oncologists but also something that is an integrated part of all of
healthcare.”
4. For more information
Contact your IBM representative or IBM Business Partner, or visit:
ibm.com/systems/nextscale, and ibm.com/platformcomputing
To learn more about IBM Business Partner Re-Store, visit:
www.re-store.net
To learn more about Caris Life Sciences, visit: www.carislifesciences.com,
connect with them at facebook.com/CarisLifeSciences or follow them on
Twitter @carisls
Please Recycle
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