Applied BioMath (www.appliedbiomath.com), the industry-leader in applying mechanistic modeling, simulation, and analysis to accelerate and de-risk drug research and development, today announced the speaker for the QSP Industry & Academia Symposium occurring Thursday, October 25, 2018 from 5:45-8:00 p.m. at the Cambridge Innovation Center, 101 Main Street location, in Cambridge, MA.
The QSP Industry & Academia Symposium will feature a presentation from Birgit Schoeberl, PhD, Global Head Modeling and Simulation, PK Sciences at Novartis Institutes for BioMedical Research (NIBR) with a networking reception to follow. Dr. Schoeberl will present a talk titled "Quantitative Drug Discovery – Opportunities for QSP in the Age of Machine Learning."
Applied BioMath hosts multiple QSP Industry & Academia Symposia throughout the year with the goal of fostering an active community of industry and academic participants interested in topics relevant to QSP and creating a forum for sharing successes and challenges.
"The QSP Industry & Academia Symposia remain a focus for Applied BioMath due to the nature of this growing field and the importance of bringing academia and industry together to share discoveries," said John Burke, PhD, Co-Founder, President and CEO, Applied BioMath.
To register for this event or to learn more, visit https://www.appliedbiomath.com/news-resources/events/quantitative-systems-pharmacology-qsp-industry-academia-symposium.
For more information about all Applied BioMath events, visit www.appliedbiomath.com/news-resources/events.
About Applied BioMath
Founded in 2013, Applied BioMath uses mathematical modeling and simulation to provide quantitative and predictive guidance to biotechnology and pharmaceutical companies to help accelerate and de-risk drug research and development. Their Model-Aided Drug Invention (MADI) approach employs proprietary algorithms and software to support groups worldwide in decision-making from early research through clinical trials. The Applied BioMath team leverages their decades of expertise in biology, mathematical modeling and analysis, high-performance computing, and industry experience to help groups better understand their candidate, its best-in-class parameters, competitive advantages, patients, and the best path forward into and in the clinic. For more information about Applied BioMath and its services, visit www.appliedbiomath.com.
Applied BioMath and the Applied BioMath logo are registered trademarks of Applied BioMath, LLC.