Model verification tools: a computational framework for verification assessment of mechanistic agent-based models

Viceconti M(2017)In silico assessment of biomedical products: the conundrum of rare but not so rare events in two case studies Proc Inst Mech Eng H 231 455-466

Cobelli C(2019)In silico clinical trials: concepts and early adoptions Brief Bioinform 20 1699-1708

Haddad T(1980)Establishing the credibility of simulations SIMULATION 34 101-105

Himes A(2017)A framework to establish credibility of computational models in biology Prog Biophys Mol Biol 129 13-19

Kovatchev B(2016)Promoting adoption of the 3Rs through regulatory qualification ILAR J 57 221-225

Palmer M(2016)Uncertainty and variability in computational and mathematical models of cardiac physiology J Physiol 594 6833-6847

Pappalardo F(2017)In silico adjuvant design and validation Methods Mol Biol 1494 107-125

Russo G(2020)Credibility of in silico trial technologies—a theoretical framing IEEE J Biomed Heal Inf 24 4-13

Tshinanu FM(2015)Agent based modeling of the effects of potential treatments over the blood–brain barrier in multiple sclerosis J Immunol Methods 427 6-12

Viceconti M(2017)Combining agent based-models and virtual screening techniques to predict the best citrus-derived vaccine adjuvants against human papilloma virus BMC Bioinf 18 544-16

Viceconti M(2017)In silico assessment of biomedical products: the conundrum of rare but not so rare events in two case studies Proc Inst Mech Eng H 231 455-466

Cobelli C(2019)In silico clinical trials: concepts and early adoptions Brief Bioinform 20 1699-1708

Haddad T(1980)Establishing the credibility of simulations SIMULATION 34 101-105

Himes A(2017)A framework to establish credibility of computational models in biology Prog Biophys Mol Biol 129 13-19

Kovatchev B(2016)Promoting adoption of the 3Rs through regulatory qualification ILAR J 57 221-225

Palmer M(2016)Uncertainty and variability in computational and mathematical models of cardiac physiology J Physiol 594 6833-6847

Pappalardo F(2017)In silico adjuvant design and validation Methods Mol Biol 1494 107-125

Russo G(2020)Credibility of in silico trial technologies—a theoretical framing IEEE J Biomed Heal Inf 24 4-13

Tshinanu FM(2015)Agent based modeling of the effects of potential treatments over the blood–brain barrier in multiple sclerosis J Immunol Methods 427 6-12

Viceconti M(2017)Combining agent based-models and virtual screening techniques to predict the best citrus-derived vaccine adjuvants against human papilloma virus BMC Bioinf 18 544-16