Applied BioMath, LLC To Present and Lead Workshop at Drug Development Boot Camp 2016

LINCOLN, Mass., Nov. 15, 2016 /PRNewswire/ -- Applied BioMath (www.appliedbiomath.com), the industry-leader in applying mechanistic modeling to drug research and development, will present at Drug Development Boot Camp on November 16-17, 2016 at The Harvard Club in Boston, MA.  This intensive two-day program, organized by Harvard University and Speid & Associates, allows executive level biotech and pharmaceutical scientists to share successes and challenges of the drug development process.   To maintain an event of this caliber, speakers and participants are limited to those with proven track records of drug development experience. 

Dr. John Burke, PhD, Co-Founder, President, and CEO of Applied BioMath, will present a session on modeling and simulation and its application to drug development.  Dr. Burke will discuss how Applied BioMath's approaches to modeling better enabled the selection of a clinical candidate for a bispecific biologic targeting two immuno-modulation targets in immunology space, maximizing therapeutic window by tuning affinities and avidities, resulting in a better balance of efficacy and safety.  Attendees will have the opportunity to participate in a hands-on software exercise to simulate dosing and its effects in cyno monkey.  

"I am very excited to be a part of the Drug Development Boot Camp again this year, highlighting how our simulation approaches, when applied early, can determine optimal drug properties to enable lead generation and candidate selection. This results in accelerating the development of best in class drugs, saving time, money, and resources."

Dr. John Burke, PhD, Co-Founder, President, and CEO of Applied BioMath

About Applied BioMath

Applied BioMath (www.appliedbiomath.com), the industry-leader in applying mechanistic modeling to drug research and development, helps biotechnology and pharmaceutical companies answer complex, critical Go/No-go decisions in R&D.  Applied BioMath leverages biology, proprietary mathematical modeling and analysis technology, high-performance computing, and decades of industry experience to help groups better understand their candidate, its best-in-class parameters, competitive advantages, and the best path forward.  Our involvement shortens project timelines, lowers cost, and increases the likelihood of a best-in-class drug.  We provide clarity to complex situations, answer otherwise unanswerable questions, and our approach, when validated in the clinic, is 10x more accurate than traditional methodologies.

Applied BioMath and the Applied BioMath logo are trademarks of Applied BioMath, LLC.

Press contact:
Kristen Zannella
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SOURCE Applied BioMath

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http://www.appliedbiomath.com