From Biology to Modeling
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At a glance: TCEs outside blood, key hurdles: target choice, immune access, and spatial activation
- Reduced need for extensive animal testing
- Earlier identification of potential drug candidates
- More accurate prediction of drug efficacy and safety in humans
- Optimization of dosing regimens
- Better understanding of drug-drug interactions
Why TCEs struggle outside the blood
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Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium. Lorem ipsum dolor sit amet, consectetur adipiscing elit.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed ut perspiciatis unde omnis iste natus error sit voluptatem accusantium doloremque laudantium. Lorem ipsum dolor sit amet, consectetur adipiscing elit.
References
- Peterson, M.C., Riggs, M.M. (2010). Applications of quantitative systems pharmacology in model-informed drug development. Clinical Pharmacology & Therapeutics, 93(5), 426–435.
- Zhang, L., Pfister, M., Meibohm, B. (2021). Concepts and challenges in quantitative pharmacology and model-based drug development. AAPS Journal, 23(2), 77.
- Johnson, T.N., Rostami-Hodjegan, A. (2020). Physiologically based pharmacokinetic modeling in drug development and regulatory science.Clinical Pharmacology & Therapeutics, 107(1), 40–47.
- Liu, A., Bassingthwaighte, J., Sorensen, A. (2020). Integrating artificial intelligence with QSP models: Current status and future directions. CPT: Pharmacometrics & Systems Pharmacology, 10(7), 654–666.
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Meet Dr. Bhairaj Paleja, PhD
