Applied BioMath, LLC Announces a Continuation of their Collaboration with Celsius Therapeutics for Systems Pharmacology Modeling in Inflammatory Bowel Disease

On October 4, 2022 Applied BioMath (www.appliedbiomath.com), the industry-leader in providing model-informed drug discovery and development (MID3) support to help accelerate and de-risk therapeutic research and development (R&D), reported a continuation of their collaboration with Celsius Therapeutics for the development of a systems pharmacology model of a monoclonal antibody for the treatment of inflammatory bowel disease (IBD) (Press release, Applied BioMath, OCT 4, 2022, View Source [SID1234621698]).

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In this continued collaboration, Applied BioMath will develop an in vitro and human systems pharmacology model to support human dose predictions.

"We chose to continue our work with Applied BioMath due to the scientific excellence and collaborative approach we experienced in our previous project," said Jeanne Magram, PhD, CSO at Celsius Therapeutics. "The model results will provide critical insight as we prepare for IND filing."

Applied BioMath offers software and services to help de-risk and accelerate drug R&D. Their solutions, which focus on quantitatively integrating knowledge about therapeutics with an understanding of its mechanism of action in the context of human disease mechanisms, are leveraged across the entire R&D spectrum from early research through to clinical trials. Their approach involves working with clients to develop the appropriate mathematical strategy for each unique project, with common strategies encompassing systems pharmacology, mechanistic modeling, bioinformatics, biosimulation, and clinical pharmacology.

"We are proud to continue working with Celsius Therapeutics to provide support for their program," said John Burke, PhD, Co-founder, President and CEO at Applied BioMath. "MID3 helps define better human dose predictions by providing a holistic approach of integrating available knowledge, preclinical data, and competitor or comparator data."