Submission Form

Prove the value of attending the 2019 Lab Informatics Summit! Download and customize dear boss letter to show your boss why you can't afford to miss out on this event. Our justification letter also includes a customizable tool for calculating the cost to attend.

Our counterparts at Pharma IQ surveyed industry professionals from the pharma, biotech and agricultural sector, to understand the current and future trends as well as pain points and challenges being faced by these industries when it comes to lab informatics. This report explores how R&D informatics leaders are:

• Using data in the lab to boost R&D objectives
• Selecting & leveraging cutting-edge informatics solutions such as LIMS, plug and play, cloud-based solutions, IoT, etc.
• The costs of poor information exchange 
• Drivers behind their informatics investments 
• Top strategic as well as performance-related lab informatics priorities for 2019

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

Technology and automation can be used to drive quality and efficiency in manufacturing processes, improving drug development through data analysis, process monitoring, and continuous feedback. Big data, paperless processes, automation and cloud technologies are driving the laboratory informatics industry forward, creating smarter research environments which can optimise and ensure the quality and integrity of data. Through the use of automation, and smart technology, R&D experts can alleviate the burden of many of the time and labour intensive tasks such as manual data entry and retrieval. Their time can then be used to focus on activities that leverage their expertise.

Last year, Pharma IQ spoke with Benjamin Schulz, Project Lead , Fraunhofer Institute for Manufacturing Engineering and Automation IPA and Jonas Angstenberger, Head of Process Automation & Data Science, AbbVie in order to hear their thoughts on how automation and connected devices can assist with ensuring data integrity and shape the future of the R&D environment. Topics of conversation include:

Benefits of automating pharmaceutical research environments

• Industry 4.0 & lab informatics
• Cost vs Benefits
• Using automation to ensure data integrity
• Security risks with IoT devices
• Integrating Automated Systems
• Future digital transformation

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

Pharma and biotech laboratories need to verify the integrity and security of their data to avoid regulatory action. Data hosted in digital systems is more vulnerable to corruption and unauthorised amends if not safeguarded by relevant procedures, password access and audit trails. Therefore, the computerized systems selected by labs need to be qualified to ensure that data integrity and security is preserved. This 2 in one report will show you how to do just that.

In part 1 of this report, we'll provide you with industry-wide stats on the current state of cyber security in life sciences. What are the biggest risks and how are organizations confronting them.

Part 2 is specifically focused on data security for lab informatics and will cover:

• Data Governance & Informatics System Design
• Are You Inspection Ready?
• Using LIMS systems to enhance data security in R&D environments

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

• How a good, user-friendly UX enables informatics to work better at every data creation and access point
• What comprises good UX
• How to roll out UX changes for better data tools
• Cut down on inefficiencies due to user misunderstanding
• Increase the accuracy of user-generated data
• Streamline your access to data, decreasing the turnaround for generating usable information from data

Presentation by:

Patrick Keller, Global Head of User Experience, Novartis Institutes for BioMedical Research

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

• Role of data visualization in creating an ‘integrated compound design cycle’
• Use of data visualization to facilitate medicinal chemistry teams to analyze weekly experimental data collaboratively as a team resulting in action
• Multi-parameter visualization of virtual libraries to enable a streamlined approach to iterative collaborative drug design

Presentation by:

Anthony Donofrio, Senior Scientist, Merck


Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

• Practical approaches to modernize medicine through integration of health care and research
• Realizing the Power and Opportunity of Big Data 
• Bridging Silos through Technology and Collaboration

Presentation by Robert E. Stewart Sr., CTO and Board Member, Alliance for Clinical Research Excellence and Safety


Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

Effective data management and integration is an integral yet challenging component of establishing, expanding and optimizing  pharma lab informatics capabilities. Ahead of the 2019 Lab informatics summit, we sat down with 2 of our speakers to discuss the trials and business benefits associated with data integration: 

Download this article to get to know and read case studies from:

• John Oh, Senior Manager, Application Development, Pfizer Vaccine Research, Pfizer
• Jarrod Medeiros, Director of Informatics and IT, Casma Therapeutics

Learn more about:

• How to get started on your own data integration journey
• Overcoming challenges such as time constraints, legacy system complexity and project prioritization
• Fully capitalizing on the business value data and systems integration brings to the table

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

Due to the emergence and growing sophistication of LIMs, laboratory IoT and other automated systems, R&D labs are producing more data than ever. And not just any data, but critical intelligence that supports almost all aspects of the drug development and manufacturing process. From smart R&D decision making to regulatory compliance to long-term strategic planning, robust, reliable, R&D data is the engine that drives innovation, operational excellence and growth. Ensuring that this data is of the highest quality possible and easily accessible throughout the organization is one of the most important as well as most challenging responsibilities of lab informatics leaders. 

That’s where data standardization comes in. In a nutshell, data standardization is the systematic process of consolidating data into a common format that allows for collaborative research, large-scale analytics, and sharing of sophisticated tools and methodologies. As standardization enables data to seamlessly flow from system to system, it’s the first step in achieving full, end-to-end interoperability and delivering advanced, integrated R&D insights.  

In this article we outline:

• How data standardization drives better R&D decision making, increased efficiency and improved collaboration
• The 6 steps for implementing data standardization
• Data standardization resources, tools and methodologies

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.

Take a look at who you can expect to network with at this year's summit!

To have a copy of the content piece sent directly to you, please email sponsor@iqpc.com.

Interested in learning more? Email us to request a copy of the 2019 Agenda to send directly to you to see related sessions.