TY - JOUR A1 - Cogno, Nicolò A1 - Axenie, Cristian A1 - Bauer, Roman A1 - Vavourakis, Vasileios T1 - Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation JF - Cancer Biology & Therapy N2 - Computational models are not just appealing because they can simulate and predict the development of biological phenomena across multiple spatial and temporal scales, but also because they can integrate information from well-established in vitro and in vivo models and test new hypotheses in cancer biomedicine. Agent-based models and simulations are especially interesting candidates among computational modeling procedures in cancer research due to the capability to, for instance, recapitulate the dynamics of neoplasia and tumor – host interactions. Yet, the absence of methods to validate the consistency of the results across scales can hinder adoption by turning fine-tuned models into black boxes. This review compiles relevant literature that explores strategies to leverage high-fidelity simulations of multi-scale, or multi-level, cancer models with a focus on verification approached as simulation calibration. KW - Agent-based modeling; multi-scale; multi-level; calibration; validation; optimization; biomechanics; biophysics; cancer simulation; precision oncolog Y1 - 2024 U6 - https://doi.org/10.1080/15384047.2024.2344600 SN - 1538-4047 VL - 25 IS - 1 PB - Informa UK Limited ER -