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Predicting Drug Exposure During Pregnancy Using PBPK Models

Moms want the best for their kids even before they’re born. When I was pregnant with my son and daughter, I watched my diet and tried to stay active. During both of my pregnancies, I had to take medications several times. And I was always concerned about whether the medications could impact my unborn children. … Continued

Mechanistic Modeling of Genome Scale Molecular Interaction Networks

The scope of PBPK modeling can be expanded by assimilating mechanistic models of intracellular processes from the Systems Biology field. Genome scale metabolic networks (GSMNs) represent whole sets of metabolic enzymes expressed in human tissues. Dynamic models of the gene regulation of key drug metabolism enzymes are also available. Here, we introduce GSMNs and review ongoing work on integrating PBPK, GSMNs and metabolic gene regulation. We demonstrate example models.

How AI Tech Is Changing Regulatory Writing

Did you know that you’re likely using artificial intelligence (AI) in your everyday life? For example, the digital music service, Spotify, creates “mood-based” playlists that are curated to users’ musical preferences. Spotify generates these customized play lists using a machine learning algorithm that has learned your unique musical preferences based on your previous interactions with … Continued

New Tools Support Developing Better TB Drugs

Tuberculosis (TB)—caused by infection with the mycobacterium Mycobacterium tuberculosis—is one of the top 10 leading causes of death worldwide with a total of 1.8 million people dying from the disease in 2015. TB is also the leading cause of death in HIV-infected individuals. TB usually attacks the lungs but can infect any part of the … Continued

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