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View article: Optimizing Early Ophthalmology Clinical Trials: Home OCT and Modeling Can Reduce Sample Size by 20% to 40%
Optimizing Early Ophthalmology Clinical Trials: Home OCT and Modeling Can Reduce Sample Size by 20% to 40% Open
By reducing sample size requirements while maintaining statistical power, this approach can streamline clinical trials, expediting the development of new retinal therapies and improving patient access to treatment.
View article: Low‐dimensional neural ordinary differential equations accounting for inter‐individual variability implemented in Monolix and <scp>NONMEM</scp>
Low‐dimensional neural ordinary differential equations accounting for inter‐individual variability implemented in Monolix and <span>NONMEM</span> Open
Neural ordinary differential equations (NODEs) are an emerging machine learning (ML) method to model pharmacometric (PMX) data. Combining mechanism‐based components to describe “known parts” and neural networks to learn “unknown parts” is …
View article: Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models
Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models Open
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criteria and for assessing parameter and prediction uncertainties, e.g. using the profile likelihood. However, translating these likelihood ratio…
View article: Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models
Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models Open
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criteria and for assessing parameter and prediction uncertainties, e.g. using the profile likelihood. However, translating these likelihood ratio…
View article: Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models
Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models Open
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criteria and for assessing parameter and prediction uncertainties, e.g. using the profile likelihood. However, translating these likelihood ratio…
View article: Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models
Likelihood-ratio test statistic for the finite-sample case in nonlinear ordinary differential equation models Open
Likelihood ratios are frequently utilized as basis for statistical tests, for model selection criteria and for assessing parameter and prediction uncertainties, e.g. using the profile likelihood. However, translating these likelihood ratio…
View article: Introduction of an artificial neural network–based method for concentration‐time predictions
Introduction of an artificial neural network–based method for concentration‐time predictions Open
Pharmacometrics and the application of population pharmacokinetic (PK) modeling play a crucial role in clinical pharmacology. These methods, which describe data with well‐defined equations and estimate physiologically interpretable paramet…
View article: An Introduction to Machine Learning
An Introduction to Machine Learning Open
In the last few years, machine learning (ML) and artificial intelligence have seen a new wave of publicity fueled by the huge and ever‐increasing amount of data and computational power as well as the discovery of improved learning algorith…
View article: Models and Machines: How Deep Learning Will Take Clinical Pharmacology to the Next Level
Models and Machines: How Deep Learning Will Take Clinical Pharmacology to the Next Level Open
Recent advances in machine learning (ML) have led to enthusiasm about its use throughout the biopharmaceutical industry. The ML methods can be applied to a wide range of problems and have the potential to revolutionize aspects of drug deve…
View article: Raw data for fPCA and pulsing analysis in Fig.1-6 and S1-6
Raw data for fPCA and pulsing analysis in Fig.1-6 and S1-6 Open
Contents:These raw data files accompany the fPCA and pulsing analysis in Fig.1-6 and S1-6 in Sampattavanich et al., Cell Systems (2018). Refer to our Git repository for accompanying scripts.To use this data with our Git Repository:Placed t…
View article: Raw data for Fig.6B
Raw data for Fig.6B Open
Contents:These raw data files accompany Fig.6B of Sampattavanich et al., Cell Systems (2018). Refer to accompanying Git repository for scripts used for Fig.6B. To use this data with our Git Repository:Placed these in the /rawdata/dualsenso…
View article: Raw westernblot data for Fig.1C, S1G
Raw westernblot data for Fig.1C, S1G Open
Contents:These raw data files accompany Fig.1C and S1G of Sampattavanich et al., Cell Systems (2018). Refer to our Git repository for accompanying scripts. To use this data with our Git Repository:Placed these in the /rawdata/western folde…
View article: Raw data for fig.S1E
Raw data for fig.S1E Open
Contents:The two data files accompany Supplementary Fig.S1E of Sampattavanich et al., Cell Systems (2018). Complete raw images can be found in the HMS OMERO link below. Also refer to the accompanied video and platemap also in this collecti…
View article: Raw data for Fig.6
Raw data for Fig.6 Open
Contents:These raw data files accompany Fig.6B of Sampattavanich et al., Cell Systems (2018). Refer to accompanying Git repository for scripts used for Fig.6B. These data should be placed in the rawdata/dualsensors folder.Experimental Setu…
View article: Encoding growth factor identity in the temporal dynamics of FoxO3 under combinatorial regulation by ERK and Akt
Encoding growth factor identity in the temporal dynamics of FoxO3 under combinatorial regulation by ERK and Akt Open
Sampattavanich et al., Cell Systems (2018)This data repository provides raw datasets for accompanying the paper, "Encoding growth factor identity in the temporal dynamics of FoxO3 under combinatorial regulation by ERK and Akt" by…
View article: Raw data for Fig 7
Raw data for Fig 7 Open
Contents:These data relate to Fig.7 of Sampattavanich et al., Cell Systems (2018). Refer to accompanying Git repository for scripts used for Fig.7. To use this data with our Git Repository:Placed these in the /rawdata/fixedcell folder.Each…
View article: Timelapse videos of Fig.1D and 2A
Timelapse videos of Fig.1D and 2A Open
FoxO3a nuclear-cytoplasmic pulsing dynamics in 184A1 mammary epithelial cell line following growth-factor treatment with varying ERK/AKT activation loads. Assay DescriptionThe nuclear-cytoplasmic pulsing behavior of a FoxO3a fluorescent re…
View article: Driving the Model to Its Limit: Profile Likelihood Based Model Reduction
Driving the Model to Its Limit: Profile Likelihood Based Model Reduction Open
In systems biology, one of the major tasks is to tailor model complexity to information content of the data. A useful model should describe the data and produce well-determined parameter estimates and predictions. Too small of a model will…
View article: <i>L</i> 1 regularization facilitates detection of cell type-specific parameters in dynamical systems
<i>L</i> 1 regularization facilitates detection of cell type-specific parameters in dynamical systems Open
Motivation A major goal of drug development is to selectively target certain cell types. Cellular decisions influenced by drugs are often dependent on the dynamic processing of information. Selective responses can be achieved by difference…
View article: Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells
Identification of Cell Type-Specific Differences in Erythropoietin Receptor Signaling in Primary Erythroid and Lung Cancer Cells Open
Lung cancer, with its most prevalent form non-small-cell lung carcinoma (NSCLC), is one of the leading causes of cancer-related deaths worldwide, and is commonly treated with chemotherapeutic drugs such as cisplatin. Lung cancer patients f…