EMRLab

Predicting Inter-individual Variability During Lipid Resuscitation of Bupivacaine Cardiotoxicity in Rats: A Virtual Population Modeling Study
Matthew McDaniel, Kevin Flores, Belinda Akpa

“Using the exemplar of bupivacaine systemic toxicity and a PBPK-PD model in rats, we have demonstrated how limited physiological data can inform a model that predicts population outcomes of lipid therapy.” 

In this paper, we combined mechanistic modeling, machine learning, and causal analysis to predict resuscitation outcomes across a virtual population and characterize the relative contributions of pharmacokinetic and pharmacodynamic mechanisms to improved survival outcomes. 

We’re thrilled to welcome Mustafa Farahat to our team! Mustafa has just finished his first year in the Chemical & Biomolecular Engineering PhD Program at UT-Knoxville. Building on his undergraduate training and research experience in Chemical and Biomedical Engineering at Iowa State University, he will be developing quantitative systems pharmacology models in support of our drug discovery interests.

“Belinda Akpa applies her diverse expertise and high-performance computing to accelerate the drug discovery process and increase the chances of success when candidate molecules go to clinical trials.” Read more

“ORNL will integrate data about relevant biological processes into the ATOM workflow to increase the chances of success when molecules go to clinical trials.” Read more

Join us for FYIM IV (Finding Your Inner Modeler), a collaborative project incubator for quantitative cell biologists and computational modelers. To be 1 of 200 interactive participants, apply by May 31 to join this interdisciplinary community in a Knowinnovation
powered experience.

Come join our team and contribute to the ATOM consortium as a computational systems biology postdoc at Oak Ridge National Laboratory!

“Purpose: The Biosciences Division of Oak Ridge National Laboratory invites qualified persons to apply for the position of Postdoctoral Research Associate in the area of computational systems physiology and molecular design.

Major Duties/Responsibilities: The position requires collaboration within a multi-disciplinary research environment consisting of experimental biologists, computer scientists, engineers, and mathematicians for a project encompassing multiscale modeling, high performance computing, machine learning, and artificial intelligence in support of molecular design. The skill set of a qualified applicant will be utilized to develop mechanistic systems models for integration with the Accelerating Therapeutics for Opportunities in Medicine (ATOM) platform for drug discovery and in support of the Laboratory’s missions.”
APPLY HERE