Modelling patient drug exposure profiles in vitro to narrow the valley of death
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Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s44222-024-00160-x.pdf
Reference10 articles.
1. Chi, L. H., Burrows, A. D. & Anderson, R. L. Can preclinical drug development help to predict adverse events in clinical trials? Drug Discov. Today 27, 257–268 (2022).
2. Sun, D., Gao, W., Hu, H. & Zhou, S. Why 90% of clinical drug development fails and how to improve it? Acta Pharm. Sin. B 12, 3049–3062 (2022).
3. Guerrero, Y. A. et al. A microfluidic perfusion platform for in vitro analysis of drug pharmacokinetic-pharmacodynamic (PK-PD) relationships. AAPS J. 22, 53 (2020).
4. Singh, D. et al. A microfluidic system that replicates pharmacokinetic (PK) profiles in vitro improves prediction of in vivo efficacy in preclinical models. PLOS Biol. 20, e3001624–e3001624 (2022).
5. Thiemicke, A. & Neuert, G. Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments. Front. Cell Dev. Biol. 11, 1124874 (2023).
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