… a novel—to the best of our knowledge—Bayesian method that … the time of clinical presentation
t 0 every time the method is … the clinical outputs at a specific prediction time t p (see Fig. 2). …

… long time to complete [37,38]. … study introduces a sophisticated computational approach to
cancer drug discovery by leveraging an XGBoost model enhanced with Bayesian Optimization …

… in this study the benefits of using Bayesian approaches in … a combined experimental-computational
approach to quantify … action potential duration, rather than measures of viability such …

… In this study, we explored cell morphology descriptors and … cytotoxicity assay of APR at the
24 h and 72 h time points … the best BA and AUC-ROC in 8 out of 12 assays and the best MCC …

… We examine the practical identifiability of parameters in a … probes to show real-time
progression through the cell cycle [4]. … using an optimization-based, profile likelihood approach. In …

… , each computational method has different considerations which will be discussed in this
review such as the type of input data required, computational time … This study revealed a novel …

… Additionally, we explore how computational approaches help … ancestor at time zero, which
lives for a certain period before … best fit of an Erlang distribution to the experimental cell cycle …

… graphs, and either return the best one found (a point estimate), or … Our computational approach
reveals the importance of … In the present study we employed time series microarray gene …

… The administration time can be best coordinated to the daily … as an effective treatment
optimization tool, which could increase … For time-domain approaches, the time series is explored …

… We review computational approaches used to understand and … first time in the seminal study
of the complex of the human … to carry out systematic analysis of optimal sequence design to …