CONCORD, Mass., Nov. 29, 2021 /PRNewswire/ -- 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), today announced their participation at the Cytokine-Based Cancer Immunotherapies Summit occurring November 30th to December 2nd, 2021 in Boston, MA.
Fei Hua, PhD, VP of Modeling and Simulation Services at Applied BioMath will present "Application of Quantitative Systems Pharmacology (QSP) Models in the Development of Immunocytokines" at the conference on Thursday, December 2nd at 3:00 p.m. In the presentation, Dr. Hua will discuss how QSP models can be used to help understand pharmacokinetic (PK) and pharmacodynamic (PD) complexities of immunocytokines and accelerate R&D.
"Understanding complex modalities such as immunocytokines is extremely resource intensive and difficult to do without the use of mathematical models," said John Burke, PhD, Co-founder, President and CEO of Applied BioMath. "Mechanistic modeling approaches help project teams more quickly understand these complexities to help accelerate therapeutic design, development, and better enable translation into the clinic and provide clinical support."
Applied BioMath's 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 all phases of clinical trials. Their approach involves working with clients to develop the appropriate mathematical strategy for each unique project, with common biosimulation software and services strategies including systems pharmacology, mechanistic modeling, PKPD, bioinformatics, and clinical pharmacology.
Founded in 2013, Applied BioMath's mission is to revolutionize drug invention. Applied BioMath applies biosimulation, including quantitative systems pharmacology, PKPD, bioinformatics, machine learning, clinical pharmacology, and software solutions to provide quantitative and predictive guidance to biotechnology and pharmaceutical companies to help accelerate and de-risk therapeutic research and development. Their approach employs proprietary algorithms and software to support groups worldwide in decision-making from early research through all phases of 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 therapeutic, its best-in-class parameters, competitive advantages, patients, and the best path forward into and in the clinic to increase likelihood of clinical concept and proof of mechanism, and decrease late stage attrition rates. For more information about Applied BioMath and its services and software, visit www.appliedbiomath.com.
Applied BioMath and the Applied BioMath logo are registered trademarks of Applied BioMath, LLC.