Bio
Dr. Lascelles is Professor in Small Animal Surgery and Professor of Comparative and Translational Pain Research at North Carolina State University. His research program (Translational Research in Pain [TRiP]) develops methods to measure pain associated with spontaneous disease in animals, and seeks to understand the underlying neurobiology. His work improves pain control in companion animals, and facilitates analgesic development in human medicine through proof of concept studies in companion animals, and discovery of relevant mechanisms involved in specific, naturally occurring painful disease states.
He is director of the Comparative Pain Research and Education Centre (CPREC). He has authored over 200 peer reviewed research papers and reviews, ~250 research abstracts, and ~ 30 book chapters. He consults for both human and veterinary pharmaceutical companies in relation to therapeutic development. Since ~2005 he has been working to better understand the measurement of activity using wearables, and interpretation of the data generated to improve pain healthcare delivery. He is co-founder of AniV8, a company dedicated to developing innovative methods of measuring pain through the use of sensors.
Abstract
The Future of Improved Diagnosis and Monitoring
The future of improved diagnosis and monitoring will be the integration and interpretation of varied and rich data sets in realtime. Wearable and implantable sensors have been garnering significant attention as they offer opportunities to access such continuous, real-time data across multiple varied dimensions. However, the high-frequency longitudinal data generated comes the challenge of managing those data, and interpreting the biological meaning. While some simple summary values may be of use in certain circumstances, the future lies in analyzing and interpreting patterns.
As an example of the challenges, opportunities and the future path forward, the measurement of pain in companion animals via monitoring activity will be discussed. The presentation will focus on the handling, analysis and interpretation of data to generate biologically useful information, and will explore how such streams of data can complement other clinical assessments and be used to change the way healthcare is delivered to companion animals. Such objective data collected in naturally occurring disease states in companion animals also offers a powerful comparative tool that can be leveraged to accelerate the development of analgesic therapies for human health.
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