3 papers
stat.ME2025
Think before you fit: parameter identifiability, sensitivity and uncertainty in systems biology models
Simon P. Preston, Richard D. Wilkinson, Richard H. Clayton +2
Reliable predictions from systems biology models require knowing whether parameters can be estimated from available data, and with what certainty. Identifiability analysis reveals…
q-bio.CB2025
Using mathematical models of heart cells to assess the safety of new pharmaceutical drugs
Gary R. Mirams
Many drugs have been withdrawn from the market worldwide, at a cost of billions of dollars, because of patient fatalities due to them unexpectedly disturbing heart rhythm. Even dru…
q-bio.QM2025
Continuation methods as a tool for parameter inference in electrophysiology modeling
Matt J Owen, Gary R Mirams
Parameterizing mathematical models of biological systems often requires fitting to stable periodic data. In cardiac electrophysiology this typically requires converging to a stable…