Amazon Web Services Webinar: Accelerating clinical trial and biomedical development processes with healthcare data

Join this webinar on August 27 to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare.

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Using third-party healthcare data to accelerate drug discovery and clinical trial protocol design
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Friday, August 27
11am pt | 2pm et
60 min session
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Join this webinar to learn how to leverage external healthcare datasets to make faster decisions with greater accuracy – accelerating biomedical development and improving patient welfare.
In this virtual session, AWS Data Exchange will host a panel discussion with thought-leaders from healthcare powerhouse companies like QIAGEN and IBM Watson Health. Learn about the critical role third-party datasets have played in the evolution of the healthcare and life sciences industry.
Key takeaways include:
Incorporating QIAGEN molecular and genomics data into the biomedical research and development process
Re-designing clinical trials to maximize patient and provider enrollment of patients with IBM Watson Health data
Extracting more meaningful insights from your healthcare data by leveraging machine-learning algorithms
Streamlining the integration, access, and analysis of diverse datasets by utilizing AWS Data Exchange
Fred Lee, MD, MPH
Healthcare & Life Sciences Leader, AWS Data Exchange
AWS Data Exchange
Dr. Lee provides physician leadership for AWS Data Exchange where he is focused on transforming and disrupting the exchange of healthcare and life sciences data towards a cloud-native, socially responsible, economically sustainable, and privacy-preserving state. Fred brings a broad range of professional experience to this role, having served as a practicing academic physician, a health system executive, founder of a precision medicine startup, an industry market strategy executive, and as an industry leader for precision medicine and real-world evidence in the healthcare and life sciences sectors. Fred is a member of the American Medical Informatics Association and is an Industry Advisory Board appointee for the Cancer Informatics Society. He received his MD from Stony Brook School of Medicine, his MPH from the Columbia Mailman School of Public Health, and is a licensed physician in the state of New York, with a clinical background in general surgery and preventive medicine.
Matt Newman, PhD
Vice President of Business Development and Professional Services, QIAGEN
Matt Newman is the Vice President of Business Development & Professional Services at QIAGEN Digital Insight, specializing in partnerships for bioinformatics software and data solutions, as well as helping to lead the QIAGEN Digital Insights Professional Services organization. Before joining QIAGEN, Matt helped to form OmicSoft Corporation, specializing in software and data services for the analysis of genomic datasets. OmicSoft Corporation was acquired In January 2017. Prior to OmicSoft, Matt worked in the lab at Glaxo Smith Kline, utilizing skills learned with a BS from Penn State University.
Luke Boulanger, MA, MBA
Lead Offering Manager for MarketScan Databases, IBM Watson Health
Luke Boulanger is an academically trained health economist, specializing in health economics and outcomes research for approximately 25 years and focuses on the design, implementation, and dissemination of real-world observational studies. Leveraging his extensive experience in several therapeutic areas, Luke directs hybrid and retrospective studies, analyzing and synthesizing clinical and economic data from a wide variety of sources. Luke has authored over 45 peer-reviewed publications in journals like Diabetes Care, COPD, HIV Medicine, Annals of Pharmacotherapy, and Neurology and is currently a PhD candidate in economics.
Kanchan Waikar
Senior Solutions Architect, AWS
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Kanchan Waikar is a Senior Solutions Architect for the AWS Marketplace for Machine Learning team with over 14 years of experience building, architecting, and managing NLP and software development projects. With a Master of Science in Computer Science, Kanchan uses her passion for data science to help customers harness the power of machine learning to build more effective AWS architectures
*The views and opinions of QIAGEN and IBM Watson Health and their presenters are their own and do not necessarily reflect the positions of AWS
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