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Join SAS at DIA 2018

Booth 1600
June 24 - 28
Boston Convention & Exhibition Center

Blue, teal and midnight background

Better trials. Higher quality. Faster delivery.

See what happens when the analytics life cycle meets the pharmaceutical life cycle.

Medical development data is bigger than ever and growing. Here’s how our leading advanced analytics, combined with real-world patient data, lets you take advantage of it:

  • Data management and analytics optimization for clinical trials.
  • Analytics scalability for complex simulations and big data computation.
  • Machine learning in clinical research.
Boston waterfront

Reasons to visit us at DIA 2018 in Boston:

  • Learn about visualization for clinical trial monitoring and investigation.
  • Explore our comprehensive analytical environment that supports trial design, evaluation and submission.
  • Employ proven 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 make decisions on real-world data using best-in-class methods.
  • Learn how SAS® users are applying our newest technologies to improve some of the industry’s oldest problems.
  • Register for a chance to win a Nintendo Entertainment System.

See SAS in Booth 1600

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. Discussion topics and demos will include:

  • Analytics workbench.
  • SAS® Clinical Trial Enrollment Simulator.
  • Battling the opioid epidemic.
  • Real-world evidence.
  • SAS® Visual Investigator.
  • SAS® Viya®.
  • Cloud deployment.

SAS Innovation Theater Presentation

Monday, June 25 | 2:15 - 2:45 p.m. | Theater 2 Exhibit Hall


Real-World Evidence: Better, Faster, More!
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.
 

Meet the SAS Expert:

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.


Wednesay, June 27 | 9:45 - 10:15 a.m. | Theater 2 Exhibit Hall


RECIST Criteria and Their Impact on Safety and Efficacy Reporting in Oncology Studies  
Response evaluation criteria in solid tumors (RECIST) define whether patients in oncology studies are improving, stable or worsening during treatment. These criteria have a direct impact on visualizations such as swimmer plots, spider plots and progression free survival. Additionally, they create complexity when creating serious adverse event narratives. Join us and learn how JMP® Clinical handles all of these issues and more.
 

Meet the SAS Expert:
 

Speaker 2

Geoff Mann , JMP Product Manager for Health and Life Sciences, SAS

In his role, 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 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 Booth 1927.

Stop by Booth 1600 for a Chance to Win

Super Nintendo giveaway

Chat with our analytics experts and enter for a chance to win a Nintendo Entertainment System.

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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