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  1. Innovative Science News

  2. Oct 24, 2025

Predicting Complex Drug Behavior Without Animal Testing

Study in a Sentence: Scientists showed that computer models using human data can accurately replace animal studies for finding safe and effective doses of antibody drug conjugates (ADCs), a cutting-edge class of cancer medicines.

Healthy for Humans: ADCs deliver chemotherapy directly to cancer cells, making treatment more precise and reducing harmful side effects compared to traditional chemotherapy. By modeling how these drugs move and act in “virtual patients,” researchers can estimate drug levels in the body, predict safety concerns, and choose better dosing strategies, without relying on animal experiments.

Redefining Research: This study demonstrates that computational platforms can predict both dosing needs and potential adverse reactions. Such studies have traditionally relied on animal experiments, which fail to predict important human side effects such as allergic reactions against drugs. This exciting research builds on earlier studies to show that avoiding animal experiments supports better medical development.

References

Zunino C, Wang S, Zhang Y, et al. Prediction of a CLDN18.2 Targeted Antibody Drug Conjugate Pharmacokinetics in Cancer Patients Using PBPK Modeling and Simulation. CPT Pharmacometrics Syst Pharmacol. 2025;14(9):1494-1503. doi:10.1002/psp4.70071

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