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SAS at PHUSE EU Connect
The SCE of The Future

16-19th November 2025
Hamburg, Germany

2024 PHUSE GMD linear data with blue background

SAS at PHUSE EU Connect

When it comes to the analysis of clinical trial data for regulatory submission, selecting a statistical computing environment (SCE) that is secure, reliable and trusted is paramount. It’s also important to have an eye on the future and select a SCE that is scalable, cloud native and open.

SAS brings the best of both worlds. From improving open-source capabilities, to ensuring compliance and accuracy, SAS continues to work with organizations just like yours to enable stronger, better outcomes in pharma data and analytics.

Stop by the SAS booth at PHUSE EU Connect to learn more about SAS’ SCE solution and how we can help you implement AI and GenAI, machine learning, cloud computing, simulation and more advanced analytics techniques that let you:

  • Modernize clinical trials and improve operational efficiency
  • Enable valid, robust strategies across both open and proprietary language systems
  • Take your analytics to the cloud and scale for complex simulations and big data computations
  • Democratize access to data and analytics within your organization
  • Drive value from real-world data and improve patient lives

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

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.


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

David Weik
Senior Solutions Architect

❭ LinkedIn    |    ❭ Email

Olivier Bouchard
Industry Expert; Customer Advisory Life Sciences

❭ LinkedIn    |    ❭ Email

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

Fadi Glor ​
Industry Expert Life Sciences

❭ LinkedIn    |    ❭ Email

Soundarya Palanisamy
Sr Industry Advisor, EMEA & APAC Health and Life Sciences Practice

❭ LinkedIn    |    ❭ Email

Heidi Ulzenheimer
Account Executive Life Sciences

❭ LinkedIn    |    ❭ Email

Mathieu Lemaire
Associate Account Executive

❭ LinkedIn    |    ❭ Email

Harj Sidhu
Sr Customer Success Manager

❭ Email

Pippa White
Senior Global Account Director

❭ LinkedIn    |    ❭ Email

Daniel Christen
Industry Expert Life Sciences

❭ LinkedIn    |    ❭ Email

Jonathan Riches ​
EMEA Director Life Science

❭ LinkedIn    |    ❭ Email

Samuel Dorrell
Account Executive

❭ LinkedIn    |    ❭ Email

Andras Salanki
Associate Customer Success Manager

❭ 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

Additional Resources

INDUSTRY OVERVIEW

Analytics for life sciences
Accelerate breakthroughs in life sciences with a faster, more productive data and AI platform.

EBOOK

Accelerating Clinical Trials Innovation
Supporting the evolution of clinical trials

EBOOK

Automatic Efficiency for Innovation
How an intelligent approach to automation can help life sciences companies evolve to push the boundaries of medical science

BLOG

5 tips for choosing a statistical computing environment

When you think about life-saving technology, does a statistical computing environment come to mind?

ARTICLE

The bigger picture

Understanding the value of statistical computing environments

SOFTWARE

SAS® Life Science Analytics Framework
Drive speed to market with more efficient clinical trials.

SOLUTION

SAS® for Transforming Clinical Trial Analysis & Submission
SAS & Microsoft Azure

BLOG

SAS and PHUSE: How it started, and how it’s going

INDUSTRY

Life Sciences Analytics Software & Solutions
When it comes to the science of life, SAS cares.