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Join SAS at DIA 2019

Booth 1205 | June 23 - 27 | San Diego Convention Center

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Next-Generation Analytics

Get more value from your data across the product life cycle


You could be getting more value from your data. SAS can help you implement AI, machine learning and more advanced analytics techniques that let you:

  • Modernize clinical trials to deliver safer, more targeted therapies to patients faster.
  • Drive value from real-world data throughout every phase of the drug development cycle.
  • Scale your analytics for complex simulations and big data computations.
  • Extend access to data and analytics to your whole team, including users with nontechnical backgrounds.
  • Expand your workforce without hiring new resources.

Visit Us at DIA 2019 in Booth 1205

We’ll offer short presentations of SAS® solutions that can help reduce your costs and advance therapies with the most promise. Join our experts to explore how SAS can give your organization a competitive advantage.

  • Learn about visualization for clinical trial monitoring and investigation.
  • Explore our comprehensive analytics environment that supports trial design, data preparation, evaluation and submission.
  • Employ cutting-edge tools and capabilities to manage the operational delivery of your clinical trials and improve your overall quality and efficiency.
  • Tap into a robust suite of advanced analytics tools to empower your data scientists to gain insights from any size – or type – of data with best-in-class methods.
  • Learn how SAS users are applying our newest technologies to address some of the industry’s most challenging problems.
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Register using our SAS discount codes and save

Click here and use our promo codes to get $100 off your DIA 2019 Global Annual Meeting registration or a $150 exhibit hall-only day pass.
 

  • DIA 2019 Promo Code: VIP19087
  • Exhibit Hall Day Pass Code: HALL19087

SAS Innovation Theater Presentations

Monday, June 24 | 1:45 - 2:15 p.m. | Theater 2 Exhibit Hall


Smarter Clinical Trial Enrollment With Real-World Data and Simulation Analytics
Want to efficiently move from real-world data to real-world insights? Join us to learn how to make more effective use of your RWE investment.

Presenters

Speaker 1

Sherrine Eid
Health and Life Sciences Industry Consultant, SAS

Eid has more than 20 years of experience in real-world evidence, epidemiology and biostatistics. Her previous roles include both private sector and public service. Her passion for better public health led her to work for USAID, CDC and other donors in global health development with a focus on reproductive health and family planning and infectious diseases. She would later serve as the District Epidemiologist for the City of Alexandria, VA, protecting the health of residents by leading outbreak investigations and training law enforcement and first responders in forensic epidemiology. Serving as Network Biostatistician and Epidemiologist for Lehigh Valley Health Network, Eid worked with physicians and other health care providers to design and analyze outcomes research studies for publication in peer-reviewed journals. Most recently, she joined Teva Pharmaceuticals as a Biostatistician and Epidemiologist supporting regulatory, safety, late-phase and post-marketing activities across therapeutic areas using clinical and real-world data to glean real-world insight.

Speaker 1

Jim Box
Senior Pre-Sales Solutions Architect, SAS
Box provides strategic insights across the life sciences industry, with a focus on optimizing the execution of clinical trials. He spent 18 years in the CRO industry, holding leadership roles in statistics, statistical programming, data management and information technology. Throughout his career, he’s used analytics and simulation to improve business processes across all aspects of an organization. He holds degrees in analytics (MSA) and management (MBA) from North Carolina State University; statistics (MS) from Duke University; systems management (MS) from the Florida Institute of Technology; and mathematics (BS) from California State University, Chico. Prior to joining his current team, Box spent a year with the SAS Solutions OnDemand Advanced Analytics Lab, working with customers on fraud detection, forecasting and modeling projects.


Wednesday, June 26 | 9:45 - 10:15 a.m. | Theater 2 Exhibit Hall


Semi-Automation of the Narrative Section of the Clinical Study Report for Oncology Studies  
The quantity and complexity of the study data associated with oncology adverse-event narratives puts a high burden on the writer to be accurate, consistent and discerning as to which information to include for these individuals. Fortunately, software now allows the medical writer to choose from a variety of options as to which content to present, as well as how the grammar for each adverse event is written within the paragraphs and tabulated data belonging to each participant.

 

Presenter

Speaker 2

Geoff Mann
JMP Product Manager for Health and Life Sciences, SAS
Mann explores needs for visual and statistical discovery software in the clinical segment of the pharmaceutical and health care industries. After joining SAS in 2000, he helped develop software for use in health and life sciences, including SAS® Drug Development, SAS Clinical Data Integration, SAS Clinical Standards Toolkit and JMP® Genomics. Mann is an active member of the Clinical Data Interchange Standards Commission (CDISC), where he participates on the CDISC Analysis Data Model (ADaM) Team as the metadata team lead.

And don’t forget to visit JMP at Booth 1017.

Meet With a SAS® Analytics Expert at Booth 1205

Schedule a meeting

Notice Concerning Training, Education, Food, Refreshments or Other Gifts Provided by SAS
At this event SAS will provide you items that may be subject to gift rules applicable for your organization. We respect these rules and encourage you to clear your receipt of these items with your organization. If you prefer, you may pay fair market value and receive a receipt for the items at sas.com/paysas.

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