We discuss issues of structural and practical identifiability of partially observed differential
equations which are often applied in systems biology. The development of mathematical …

COVID-19 pandemic has underlined the impact of emergent pathogens as a major threat to
human health. The development of quantitative approaches to advance comprehension of …

Since the COVID-19 outbreak in Wuhan City in December of 2019, numerous model
predictions on the COVID-19 epidemics in Wuhan and other parts of China have been …

Severe acute respiratory syndrome coronavirus 2 is the causative agent of the ongoing
coronavirus disease pandemic. Initial estimates of the early dynamics of the outbreak in …

Background: Mammography screening can lead to overdiagnosis—that is, screen-detected
breast cancer that would not have caused symptoms or signs in the remaining lifetime …

Mathematical models of biological reactions at the system-level lead to a set of ordinary
differential equations with many unknown parameters that need to be inferred using …

Mathematical models provide a quantitative framework with which scientists can assess
hypotheses on the potential underlying mechanisms that explain patterns in observed data …

Uncertainty quantification serves a central role for simulation-based analysis of physical,
engineering, and biological applications using mechanistic models. From a broad …

Single-cell RNA sequencing studies have suggested that total mRNA content correlates with
tumor phenotypes. Technical and analytical challenges, however, have so far impeded at …

Ecological systems can often be characterised by changes among a finite set of underlying
states pertaining to individuals, populations, communities or entire ecosystems through time …