2 papers
q-bio.QM2025
Consensus statement on the credibility assessment of ML predictors
Alessandra Aldieri, Thiranja Prasad Babarenda Gamage, Antonino Amedeo La Mattina +4
The rapid integration of machine learning (ML) predictors into in silico medicine has revolutionized the estimation of quantities of interest (QIs) that are otherwise challenging t…
q-bio.QM2025
Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century
Axel Loewe, Peter J. Hunter, Peter Kohl
Since the turn of the millennium, computational modelling of biological systems has evolved remarkably and sees matured use spanning basic and clinical research. While the topic of…