24 citations · 41 across the 5 of their papers we have counts for
5 papers
Learning dynamical systems with biochemically informed neural ordinary differential equations
Luis L. Fonseca, Reinhard C. Laubenbacher, Lucas Böttcher
Ordinary differential equation models of biochemical reactions are often formulated as stoichiometric systems in which the dynamics arise from a collection of interacting processes…
EFECT: A Method to Quantify the Reproducibility of Stochastic Simulations
T. J. Sego, Matthias König, Luis L. Fonseca +13
Reproducibility is a fundamental requirement for validating scientific claims in computational research. Stochastic computational models are widely used in fields such as systems b…
Control of Medical Digital Twins with Artificial Neural Networks
Lucas Böttcher, Luis L. Fonseca, Reinhard C. Laubenbacher
The objective of personalized medicine is to tailor interventions to an individual patient's unique characteristics. A key technology for this purpose involves medical digital twin…
Surrogate Modeling and Control of Medical Digital Twins
Luis L. Fonseca, Lucas Böttcher, Borna Mehrad +1
The vision of personalized medicine is to identify interventions that maintain or restore a person's health based on their individual biology. Medical digital twins, computational…
Forum on immune digital twins: a meeting report
Reinhard Laubenbacher, Fred Adler, Gary An +16
Medical digital twins are computational models of human biology relevant to a given medical condition, which can be tailored to an individual patient, thereby predicting the course…