Applied BioMath, an expert in applying systems pharmacology and mechanistic modeling, simulation and analysis to de-risk drug research and development, has formed a collaboration with Xilio Therapeutics.
 
“We previously collaborated with Applied BioMath to develop our in vitro and in vivo systems math models,” said Jennifer O’Neil, vice president, translational oncology at Xilio Therapeutics. “We look forward to extending this collaboration to utilizing these systems pharmacology models for FIH dose predictions and IND support.”
 
Applied BioMath employs a fit-for-purpose model development process which aims to quantitatively integrate knowledge about therapeutics with an understanding of its mechanism of action in the context of human disease mechanisms. Their approach employs proprietary algorithms and software that were designed specifically for systems pharmacology model development, simulation and analysis.
 
“The mechanistic nature of our systems modeling makes it ideal for translating from in vitro to in vivo and human models, and for aiding in critical thinking,” said John Burke, co-founder, president, and CEO of Applied BioMath. “We often work with our collaborators to help them predict FIH starting dose and efficacious dose and to prepare the PK section of their IND filing.”
 
Applied BioMath will continue work on semi-mechanistic pharmacokinetic/pharmacodynamic models to support Xilio development programs.