Every scientific biomedical sector is now witnessing rapidly increasing computing power
capacity, thus allowing the simulation and modeling of complex biological processes.
Machine learning (ML) and mechanistic modeling consist of different but complementary
approaches of mathematical and computational modeling. They now offer the required
computational capacity for the simulation of biological and physiologic processes for
research efforts that may be translated to therapeutics and the clinical setting. ML algorithms …