In this session Sylvain Demanze will discuss automating analytical data driven decision making, focusing on:

• Why Automation is an absolute MUST in the pharma industry
• Initiatives for dealing with the ever-increasing volumes of analytical data generated in the labs
• Addressing the human-review bottlenecks in our processes by either adopting a facilitated, review-by-exception approach or even through complete removal of the required human input steps
• Concrete examples of lab efficiency gains, as well as of “Augmented Analysis” via modern visualisation tools and data-mining enablement 

Sylvain Demanze

Senior Analytical Scientist
AstraZeneca

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During this session we will discuss:

- With the LANEXO® System, lab staff can manage your entire lab inventory and collaborate from anywhere.

·      The system’s Smart RFID labels and its user-friendly mobile and web apps help you keep your consumables in stock, unexpired and stored properly and safely.

·      This enhanced traceability of consumables data, plus quick matching of reagents with a full audit report, make your lab audit ready and GxP/regulation compliant

Aurélie Chambon

Connected Lab | Business Development Manager | Western Europe
Merck

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Poorly developed data models are enemy #1 to the widespread, profitable use of machine learning and advanced analytics.  Even at the earliest stages of working with a data set, establishing quality checks and ensuring that you are collecting appropriate data to inform future decisions are critical elements of any product or project roadmap.

In this session join Clark Leininger in discussing how to capture and access relevant data to build the lab of the future. 

The session will discuss: 

·  The move from functionally designed software to strategically designed software products 

·  The importance of thinking beyond immediate concerns when evaluating data 

·  Exploring mechanisms for reducing or eliminating data extraction, transformation, and cleansing

Clark Leininger

Digital Process Development
Moderna

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ML & AI within the laboratory removes manual processes and decision making. This is an opportunity not to simply replace legacy technology but to enable the next level of integrated innovation to truly transform the way you work & make decisions. Despite the increasing adoption of lab automation in the sciences awareness about what it can truly do still remains limited. 

In this session we discuss: 

• Transforming the labs of the past to the labs of the future by developing talent and fostering a digital mindset.  
• Guiding stakeholders through cultural change, and transition towards digitally optimized lab processes and tools. 
•  Setting up the lab standards by transforming legacy equipment & exploring strategies, best practices, and approaches to develop the paperless lab. 

Christos Varsakelis

Team Lead AI/ML
The Janssen Pharmaceutical Companies of Johnson & Johnson

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