[Webinar] How pharmaceutical companies and biotechs can accelerate translational medicine with virtualized search and analytics

Find out how one large pharma company is utilizing LeapAnalysis to cut data integration time, improve data quality and drive results directly to end users

Learn how a leading pharma company accelerated their data integration with virtualized semantics and advanced data science


This webinar will take place on:
July 15, 2020
03:00 PM - 04:00 PM GMT

Semantic technologies are playing an increasing role in enriching data in pharma research through the use of better metadata. This approach makes data Findable, Accessible, Interoperable and Reusable, thereby giving it higher value and usability. At the same time, machine learning provides a powerful mechanism for statistically parsing and manipulating data using automation.

In this webinar, Dr. Eric Little, CEO of LeapAnalysis, and Dr. Tom Plasterer, Senior Director of Oncology Translational Medicine at AstraZeneca, will share their insights and experiences of working together to implement virtualized semantics with machine learning for advanced analysis of complex data in translational medicine applications.

Dr. Little will delve into how LeapAnalysis can drive advanced data connectors alongside machine learning and semantic tech that automatically reads data schemas at the source.

These industry experts will also describe some of the traditional challenges facing researchers in the translational medicine space and how connecting data virtually from multiple sources (extract, transform and load pipelines) can be used to find real-world patterns that can accelerate research dramatically in the future.

Attend this webinar to learn how to:

  • Establish virtualized web-based data integration and interoperability without copying, moving or migrating data into a new system or master data source.
  • Search across and analyze disparate sources directly, even when they contain inconsistent labels, terminologies or schemas.
  • Utilize a wide range of data sources outside the data lake environment for search and analytics.
  • Drive results to user groups with no additional training, by implementing business intelligence tools and user interfaces that lab teams are already familiar with.
  • Get tangible business answers out of your data using the scientists you already have, instead of requiring highly specialized data scientists to connect data and run analyses.

Sign up today to secure your free seat.

Presenters:

   

Dr. Eric Little, CEO of LeapAnalysis

Dr. Little is the Co-Founder and CEO of LeapAnalysis. He received his PhD in Philosophy and Cognitive Science in 2002 from the University of Buffalo, State University of New York. He has worked in academia and held multiple management positions in the software development industry. Dr. Little is a recognized expert in semantic technology, Big Data, analytics applications and formal ontology. Dr. Little has designed and helped to implement semantic technologies and analytics for use in various applied domains including: biomedicine, medical device manufacturing, medical fraud, waste and abuse detection, pharmaceuticals, medical management, threat prediction/mitigation, disaster management, national defense/intelligence, steel production and petrochemicals. 

Dr. Tom Plasterer, PhD, Senior Director of Oncology Translational Medicine at AstraZeneca

Dr. Plasterer has pursued interests in bioinformatics, clinical informatics, systems biology and biomarker discovery over the last 20 years in both industry and academia. He co-founded PanGenX (a personalized medicine/pharmacogenetics knowledge-based start-up), directed the project planning and data interpretation group at BG Medicine and held an adjunct professor position in the department of Chemistry and Chemical Biology at Northeastern University. He now leads translational science data strategy and FAIR data initiatives at AstraZeneca.

The webinar will take place at: 

  • 8am PDT
  • 11am EDT
  • 4pm BST
  • 5pm CET