big data and clinical research: trends, issues and considerations
TRANSCRIPT
South African Clinical Research Association | June 2015 | 1
Zaher El-AssiPresident
Big Data and Clinical Research:Trends, Issues and ConsiderationsSACRA | June 2015
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Four game-changing moments in clinical trial history
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King Nebuchadnezzar
First trial 600BCE
James Lind, M.D.
1747First controlled trial
Sir Geoffrey Marshall
1946First controlled randomized trial
Big Data
2015First trial on steroids
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Today’s clinical trial landscape(What a mess . . .)
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30-fold increase
since 2000
$8 million lost per day of delay
$1 billion to develop a drug
170,000+ registered trials
~75% delayed by one month or
more
94% Experience
delays
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Richard Moscicki, M.D.
Deputy Director, Science OperationsCenter for Drug Evaluation & Research, FDA
A bellwether?
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“Quality over compliance”
Office of Pharmaceutical Quality (OPQ)
One voice
Integrate review and inspection across lifecycle
Patient-focused drug development
Apply risk-based approaches
The changing face of the US regulatory environment
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Speed to Market
Monitor
Assess
Pivot
Adaptive Trial Design
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Wearable technologies (biometric apparel)
PART I
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Source: Scanadu; NASA Ames Research Center
Star Trek-Style, Non-Invasive
Tricorder (scanning + mobile data
capture)
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Source: Athos
Apparel – Biosignals to
Mobile Devices via Bluetooth
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Source: Stanford University, MendlesPod.com, Bloomberg Business, Apple Inc.
Apple Watch + Research Kit (open source
platform)
Signed up 11,000 people in less than 24 hours (contrasted against a year’s time and 50 research sites nationwide)
Stanford Cardiovascular Study:
Signed up 7,406 patients for a Parkinson’s Disease trial in 6 hours (greatest prior study participation was 1,000 subjects)
Sage Bionetworks:
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Source: Google and Novartis
Google + Novartis –
Smart Contact Lenses
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Implantables:The ultimate inside edge
PART II
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Source: Texas A&M + MIT
Under-Skin (dermally implantable)
Sensors
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Source: University of Illinois at Urbana-Champaign
Straight-to-Skin Printed Sensors
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Source: Proteus Digital Health
Digital Pills
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All data, all the time24/7/365 (or 366)
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It means trying to control clinical trials these days is kind of like . . .
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The Four V’s of Big Data
Volume Variety Velocity Veracity
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Volume
• Paper records • Electronic medical records• Radiology images• Clinical trial data• FDA submissions• Population data genomic sequences• Personal genomic data• 3D imaging• Biometric sensors• Social media• Videography• (to name a few…)
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Variety
• Structured data
• Unstructured data
• Semi-structured data
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Velocity
• Collection
• Organization
• Analysis
• Action
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Veracity
• Assumes simultaneous scaling up in granularity and performance
• Architectures, platforms, algorithms, methodologies and tools
• “Divide and process” across multiple servers
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More data
More questions
More inputs
require Improved analysis
Improved action
Improved systems
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The Opportunities• Strengthening health economics and outcomes
research
• Targeting drugs at specific patient populations
• Accelerating drug and device development
• Improving patient recruitment and retention
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Looking Forward
“Data and information technology... are the least regulated part of the market, so this area has the most opportunity for really innovative ways in which we can
change the environment.” – Dr. Kevin Schulman
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King Nebuchadnezzar James Lind, M.D. Sir Geoffrey Marshall You
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Zaher [email protected]
+1 919.653.3420