MSD - Merck Sharp & Dohme
Our vision and why SAS® is the perfect choice for life science analytics and AI?
Dear MSD customer,
As you probably know, Merck / MSD and SAS have partnered for several decades. We support MSD across the value chain, as well as the analysis of pooled project data with SAS for drug submissions to the authorities, like FDA and EMA. SAS is proud to support our partner in development of new drugs to help save patient lives.
SAS as a company is more than 45 years on the market and invests more than 20% every year of their revenue in R&D, a similar investment as Life Sciences companies make for the development of new drugs. We have developed an innovative SAS Viya Platform for our customers, for example to enable analytics in the cloud and for an easy integration with open-source languages. In addition, SAS Viya allows many other advanced analytical methods, such as artificial intelligence for the analysis of CT scan images.
We are here to support Merck / MSD in all areas where AI and analytics play a role. See a few examples of our work below. We are happy to share further details. Have requests on other topics? Email me or schedule a 15 minute briefing session.
Infopaket:
REPORT:
Chartis positioned SAS as a Leader in RiskTech Quadrant 2019 - Model Risk Governance Solutions
SURVEY:
Model Risk Management: Today's Governance and Future Directions (GARP & SAS)
WHITEPAPER:
Machine Learning Model Governance
Go for it! - Take opportunity now
- Life Sciences expert Heidi Ulzenheimer and colleagues share their market experiences.
- How can SAS support so you can focus on your core business?
- Best practices, requirements, recommendations for action
Values
- Verbesserte Compliance durch Model Governance
- KI Modelle werden transparent und erklärbar
- Modellvalidierung zur Vermeidung von Fehlinterpretationen
I am Heidi Ulzenheimer, Account Executive for MSD (Merck Sharp & Dohme) and part of the SAS team supporting our partner Merck & Co. globally.
SAS is here to help MSD bridge the gap between vast amounts of available data and impactful decisions.
I exclusively support SAS Life Science customers and have been doing so for 20 years. Prior to joining SAS, I worked in BioPharma R&D with focus on the coordination and analysis of clinical submission projects.