Parameter Estimation of Platelets Deposition: Approximate Bayesian Computation With High Performance Computing

  title={Parameter Estimation of Platelets Deposition: Approximate Bayesian Computation With High Performance Computing},
  author={Ritabrata Dutta and Bastien Chopard and Jonas L{\"a}tt and Frank Dubois and Karim Zouaoui Boudjeltia and Antonietta Mira},
  journal={Frontiers in Physiology},
Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. Recent studies show the existing clinical tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions. Further they are also incapable to consider inter-individual variability. A physical description of platelets deposition was introduced recently in Chopard et al. (2017), by integrating fundamental… 

Figures from this paper

Interpretable pathological test for Cardio-vascular disease: Approximate Bayesian computation with distance learning
This work proposes a stochastic platelet deposition model and an inferential scheme for uncertainty quantification of these parameters using Approximate Bayesian Computation and distance learning and shows that the methodology can learn biologically meaningful parameters, which are the specific dysfunctioning parameters in each type of patients, from data collected from healthy volunteers and patients.
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning
A stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients are proposed.
Calibrating models of cancer invasion: parameter estimation using approximate Bayesian computation and gradient matching
Two different methods to estimate parameters within a partial differential equation model of cancer invasion are presented, a likelihood-free approach associated with approximate Bayesian computation and a two-stage gradient matching method based on smoothing the data with a generalized additive model and matching gradients from the GAM to those from the model.
Anomalous Platelet Transport & Fat-Tailed Distributions
The transport of platelets in blood is commonly assumed to obey an advection-diffusion equation. Here we propose a disruptive view, by showing that the random part of their velocity is governed by a
Score Matched Conditional Exponential Families for Likelihood-Free Inference∗
This work generates parameter-simulation pairs from the model independently on the observation, and uses them to learn a conditional exponential family likelihood approximation, which can be used as summaries in ABC, and applies this method to a challenging model from meteorology.
Score Matched Neural Exponential Families for Likelihood-Free Inference
This work introduces a new way to learn ABC statistics: first, parameter-simulation pairs from the model independently on the observation are generated; then, Score Matching is used to train a neural conditional exponential family to approximate the likelihood, the largest class of distributions with fixed-size sufficient statistics.
Global ensemble of temperatures over 1850–2018: quantification of uncertainties in observations, coverage, and spatial modeling (GETQUOCS)
Abstract. Instrumental global temperature records are derived from the network of in situ measurements of land and sea surface temperatures. This observational evidence is seen as being fundamental
Global Ensemble of Temperatures over 1850–2018: Quantification of Uncertainties in Observations, Coverage, and Spatial modelling (GETQUOCS)
Instrumental temperature records are derived from the network of in situ measurements of land and sea surface temperatures. This observational evidence is seen as fundamental to climate science.
Approximate Bayesian Computation for Biological Science
  • Ritabrata Dutta
  • Computer Science
    Biostatistics and Biometrics Open Access Journal
  • 2018
A short introduction to ABC is given, focusing on applications in biological science, and a Python suite implementing ABC algorithms is introduced, with optimal use of high performance computing facilities.
D2.3 Report on Extreme Scaling of and Porting of Exemplar Applications to Novel Architectures_v1.0
  • Computer Science
  • 2018
Disclaimer This document’s contents are not intended to replace consultation of any applicable legal sources or the necessary advice of a legal expert, where appropriate. All information in this


Platelet Aggregometry Testing: Molecular Mechanisms, Techniques and Clinical Implications
Recent large scale randomized, controlled trials have consistently failed to demonstrate a benefit of personalised antiplatelet therapy based on platelet function testing.
Assessment of erythrocyte shape by flow cytometry techniques
RBCs are characterised by an increased spherical shape in many disease states, and the measure of the second PCD in flow cytometry is a new, easy method to investigate RBC shape in various diseases.
Assessment of platelet function in the laboratory.
It is encouraging that a number of standardization committees are now beginning to produce new platelet function testing guidelines and this will hopefully improve clinical practice, quality assurance and result in less variability between different laboratories.
In-vitro assessment of platelet function.
  • S. Picker
  • Medicine, Biology
    Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis
  • 2011
A physical description of the adhesion and aggregation of platelets
It is revealed that blood albumin is a major parameter limiting platelet aggregate formation in the authors' experiment, and a numerical model is developed that provides quantitative estimates of the adhesion and aggregation rates that are hard to measure experimentally.
The aggregation of blood platelets
A method by which the aggregation of platelets may be followed quantitatively is described, and results obtained with the method are described.
Comparison of platelet function tests in predicting clinical outcome in patients undergoing coronary stent implantation.
Of the platelet function tests assessed, light transmittance aggregometry, Verify Now, Platelet works, and Innovance PFA P2Y were significantly associated with the primary end point, however, the predictive accuracy of these 4 tests was only modest.
Platelet reactivity in patients and recurrent events post-stenting: results of the PREPARE POST-STENTING Study.
Determination of Critical Parameters in Platelet Margination
An investigation of margination dependence on hematocrit, platelet shape, and viscosity ratio of plasma to cytoplasm is presented and the results emphasize that an increase in hematOCrit increases the rate of Margination.
Prognostic significance of post-clopidogrel platelet reactivity assessed by a point-of-care assay on thrombotic events after drug-eluting stent implantation.
High post-treatment platelet reactivity measured with a point-of-care platelet function assay is associated with post-discharge events after PCI with DES, including stent thrombosis, and investigation of alternative clopidogrel dosing regimens to reduce ischaemic events in high-risk patients identified by this assay is warranted.