SAS presentations at PHUSE EU Connect 2024
Please click on the title of each presentation to open or download the pdf-file.
Stream Application Development (AD)
11.11.2024 | 12:00-12:30 | Meeting Room Amsterdam
SAS Custom Step & R-Runner: Develop any application you can dream about 
Olivier Bouchard, SAS
Stream Application Development (AD)
11.11.2024 | 13:30-14:00 | Meeting Room Amsterdam
Advancing Kidney Assessments for Transplants with AI-driven Applications
Federica Citterio, SAS
Stream Standards Implementation (SI)
11.11.2024 | 14:30-15:00 | Meeting Room Rome
Navigating the Clinical Research Landscape: The Role of Regulatory Intelligence and LLMs
Soundarya Palanisamy, SAS
Federica Citterio, SAS
Stream Data Visualisation (DV)
11.11.2024 | 15:00-15:30 | Meeting Room Marie Curie A
Combining the power of RShiny and SAS Viya
David Weik, SAS
Stream Leadership Through Innovation (LI)
12.11.2024 | 11:30-12:00 | Meeting Room Marie Curie A
Trustworthy and responsible AI in health care and life sciences from a leadership perspective
Dr. Mark Lambrecht, SAS
Stream Professional Development (PD)
07.11.2023 | 11:00-12:30 | Hall 9
Panel Discussion: Let’s Discuss Open Source Openly: A New Path in Pharma
Moderation: GSK and J&J
Impressions from SAS at PHUSE EU Connect 2024
SAS Hands-on workshop
Enhancing Performance with In-Memory Enabled Statistical Processes
Join us for an immersive workshop focused on leveraging the powerful in-memory capabilities of SAS Viya Workbench to significantly enhance the performance of statistical processes. This workshop is designed to cater to SAS users, R users, and Python users, providing a comprehensive understanding of how to utilize multiple statistical languages within a unified workbench environment.
Objectives:
- Familiarization: Equip participants with the knowledge to navigate and utilize SAS Viya Workbench, exploring the diverse possibilities it offers for statistical analysis.
- Performance Improvement: Demonstrate how in-memory processing can drastically improve the efficiency and speed of handling big data and complex statistical procedures.
- Cross-Language Integration: Highlight the seamless integration and interoperability between SAS, R, and Python within the workbench, enabling a versatile and robust analytical workflow.
Target Audience:
This workshop is ideal for statistical programmers and data scientists with advanced statistical knowledge who are looking to optimize their analytical processes and enhance their performance when working with large datasets.
Benefits:
Participants will gain hands-on experience and insights into:
- Accelerating data processing and analysis through in-memory capabilities.
- Enhancing the performance of statistical procedures.
- Utilizing a multi-language workbench to streamline workflows and improve productivity.
By Daniel Christen, Soundarya Palanisamy and Jim Box
Date and time will follow.
Visit us at our SAS Zone
Meet our experts to hear the latest news about AI, Analytics, Automation and all innovation in Life Sciences etc.
Network with peers and Like-minded people
Watch our Live Demos
Try our grabber machine and win
We are looking forward to your visit!
You can find us in the exhibition area :
SAS Team
If you would like to connect with our SAS Team, please click on the name and you can get in contact directly via email or through LinkedIn
Dr. Mark Lambrecht
Director, EMEA & APAC Health and Life Sciences Practice at SAS
❭ LinkedIn | ❭ Email
Federica Citterio
Data Scientist – Global Technology Practice, Artificial Intelligence
❭ LinkedIn | ❭ Email
Soundarya Palanisamy
Sr Industry Advisor, EMEA & APAC Health and Life Sciences Practice
❭ LinkedIn | ❭ Email
Clinical operations are at an inflection point due to technology and analytics. Many organizations are now re-thinking their SCE strategy to embrace a new era of digital transformation. SAS is a long-standing supporter of the Phuse community, and we look forward to exchanging ideas with pharma experts on their vision of SCE of the future and how SAS can support them."
Dr. Mark Lambrecht
Director, EMEA & APAC Health and Life Sciences Practice at SAS
Kayt Leonard
Principal Product Marketing Manager at SAS
The future of life sciences is laser-focused on artificial intelligence, advanced analytics and machine learning. To stay ahead of the curve – and ensure your research stays relevant – your statistical computing environment needs to be built with the future in mind."
Additional Resources
