IQVIA Healthcare-grade AI™
Learn how unparalleled data, domain expertise, and technologies enable AI-powered solutions that are purpose-built for healthcare.
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Americas
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Asia & Oceania
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EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
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Middle East & Africa
EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
Regions
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Americas
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Asia & Oceania
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Europe
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Middle East & Africa
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Americas
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Asia & Oceania
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Europe
Europe
- Adriatic
- Belgium
- Bulgaria
- Czech Republic
- Deutschland
- España
- France
- Greece
- Hungary
- Ireland
- Israel
- Italia
EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more -
Middle East & Africa
EMEA Thought Leadership
Developing IQVIA’s positions on key trends in the pharma and life sciences industries, with a focus on EMEA.
Learn more
SOLUTIONS
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Research & Development
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Real World Evidence
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Commercialization
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Safety & Regulatory Compliance
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Technologies
LIFE SCIENCE SEGMENTS
HEALTHCARE SEGMENTS
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THERAPEUTIC AREAS
- Cardiovascular
- Cell and Gene Therapy
- Central Nervous System
- GI & Hepatology
- Infectious Diseases and Vaccines
- Oncology
- Pediatrics
- Rare Diseases
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Impacting People's Lives
"We strive to help improve outcomes and create a healthier, more sustainable world for people everywhere.
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Harness the power to transform clinical development
Reimagine clinical development by intelligently connecting data, technology, and analytics to optimize your trials. The result? Faster decision making and reduced risk so you can deliver life-changing therapies faster.
Research & Development OverviewResearch & Development Quick Links
Real World Evidence. Real Confidence. Real Results.
Generate and disseminate evidence that answers crucial clinical, regulatory and commercial questions, enabling you to drive smarter decisions and meet your stakeholder needs with confidence.
REAL WORLD EVIDENCE OVERVIEWReal World Evidence Quick Links
See markets more clearly. Opportunities more often.
Elevate commercial models with precision and speed using AI-driven analytics and technology that illuminate hidden insights in data.
COMMERCIALIZATION OVERVIEWCommercialization Quick Links
Service driven. Tech-enabled. Integrated compliance.
Orchestrate your success across the complete compliance lifecycle with best-in-class services and solutions for safety, regulatory, quality and medical information.
COMPLIANCE OVERVIEWSafety & Regulatory Compliance Quick Links
Intelligence that transforms life sciences end-to-end.
When your destination is a healthier world, making intelligent connections between data, technology, and services is your roadmap.
TECHNOLOGIES OVERVIEWTechnology Quick Links
CLINICAL PRODUCTS
COMMERCIAL PRODUCTS
COMPLIANCE, SAFETY, REG PRODUCTS
BLOGS, WHITE PAPERS & CASE STUDIES
Explore our library of insights, thought leadership, and the latest topics & trends in healthcare.
DISCOVER INSIGHTSTHE IQVIA INSTITUTE
An in-depth exploration of the global healthcare ecosystem with timely research, insightful analysis, and scientific expertise.
SEE LATEST REPORTSFEATURED INNOVATIONS
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IQVIA Connected Intelligence™
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IQVIA Healthcare-grade AI™
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Human Data Science Cloud
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IQVIA Innovation Hub
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Decentralized Trials
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Patient Experience powered by Apple
WHO WE ARE
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NEWS & RESOURCES
Unlock your potential to drive healthcare forward
By making intelligent connections between your needs, our capabilities, and the healthcare ecosystem, we can help you be more agile, accelerate results, and improve patient outcomes.
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IQVIA AI is Healthcare-grade AI
Building on a rich history of developing AI for healthcare, IQVIA AI connects the right data, technology, and expertise to address the unique needs of healthcare. It's what we call Healthcare-grade AI.
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Your healthcare data deserves more than just a cloud.
The IQVIA Human Data Science Cloud is our unique capability designed to enable healthcare-grade analytics, tools, and data management solutions to deliver fit-for-purpose global data at scale.
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Innovations make an impact when bold ideas meet powerful partnerships
The IQVIA Innovation Hub connects start-ups with the extensive IQVIA network of assets, resources, clients, and partners. Together, we can help lead the future of healthcare with the extensive IQVIA network of assets, resources, clients, and partners.
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Proven, faster DCT solutions
IQVIA Decentralized Trials deliver purpose-built clinical services and technologies that engage the right patients wherever they are. Our hybrid and fully virtual solutions have been used more than any others.
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IQVIA Patient Experience Solutions powered by Apple
Empowering patients to personalize their healthcare and connecting them to caregivers has the potential to change the care delivery paradigm. IQVIA and Apple are collaborating to bring this exciting future of personalized care directly to devices patients already have and use.
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Our mission is to accelerate innovation for a healthier world. Together, we can solve customer challenges and improve patient lives.
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Careers, culture and everything in between. Find out what’s going on right here, right now.
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"Improving human health requires brave thinkers who are willing to explore new ideas and build on successes. Unleash your potential with us.
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White Paper
On the Brink of Change
How Academic Data and Machine Learning Can Revolutionize Alzheimer's Drug Development
Nov 20, 2018
Introduction
Alzheimer’s disease is both a devastating degenerative brain disorder and the most common type of dementia. About 5.7 million Americans live with Alzheimer’s today and a new person is diagnosed with the disease every 65 seconds (1, 2). Elderly Americans are more afraid of developing Alzheimer’s or dementia (35%) than cancer (34%) and for good reason. The prognosis is not good, but the future is hopeful when human science meets data science. When scientific expertise and advances in data analytics and innovative technologies—like predictive analytics and machine learning—come together, we can ask better questions and extract more meaningful insights about Alzheimer’s disease, while proactively creating a more accurate and predictable picture of the patient pipeline, identifying patients earlier in the diagnosis, optimizing study planning and speeding time to market.
In this white paper, you will:
- Hear about current industry challenges in Alzheimer’s drug development and glean insights as to why we must explore new clinical approaches
- Understand the importance of machine learning and predictive analytics for identifying non-diagnosed prodromal Alzheimer’s disease patients—and why we must tap into this unexplored general population to bring about real advancement
- Learn why innovative approaches to Alzheimer’s drug development are not only necessary, but how they will positively impact the future of Alzheimer’s disease for patients and the medical community alike
Challenges and Considerations of Clinical Development in Alzheimer’s Disease
More than 100 Alzheimer’s agents have failed clinical trials since 1998, and early Alzheimer’s trials have a high screen failure rate of about 75%. Only five agents have ever been approved: tacrine (later withdrawn for safety), donepezil, rivastigmine, galantamine, and memantine. Unfortunately, they are only able to provide a moderate symptomatic relief with no impact of disease progression.
Dozens of unsuccessful trials have provided some lessons, which are important to understand since at least 112 potential agents to treat Alzheimer’s and its symptoms are currently in clinical trials.
First, for drug development efforts, it is critical to target Alzheimer’s pathology as early as possible before the onset of dementia to lessen the disease’s effects. Amyloid deposits and other brain changes associated with Alzheimer’s appear more than 20 years before the onset of clinical symptoms. As per Alzheimer’s Association, earlier diagnosis (even with no disease-modification treatment yet available) may also save $7.9 trillion in healthcare costs in the US alone (1, 2).
Second, it is critical to enroll a well-defined patient population using biomarker confirmation of diagnosis.
In addition, because most agents currently under trial are monoclonal antibodies (mAbs), the blood–brain barrier poses a substantial challenge. These challenges translate into four concerns:
- The generally low penetration of mAbs into the brain requires elevated dosing, which raises safety issues.
- Trial participants must be stratified by apolipoprotein E (APOE4) for safety management. Between 10% and 15% of the population is APOE4+, which increases the risk for developing Alzheimer’s and lowers the age of onset.
- Dose titration to mitigate amyloidrelated imaging abnormalities is a particular concern for APOE4+ individuals.
- The primary outcome measure, the clinical dementia rating (CDR) scale, must be protected by using blinded raters.
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