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But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose 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. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment.<\/jats:p>","DOI":"10.1371\/journal.pcbi.1009910","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T13:59:31Z","timestamp":1646920771000},"page":"e1009910","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":5,"title":["Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8209-7747","authenticated-orcid":true,"given":"Ritabrata","family":"Dutta","sequence":"first","affiliation":[]},{"given":"Karim","family":"Zouaoui Boudjeltia","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4323-0087","authenticated-orcid":true,"given":"Christos","family":"Kotsalos","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0228-9237","authenticated-orcid":true,"given":"Alexandre","family":"Rousseau","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4608-3625","authenticated-orcid":true,"given":"Daniel","family":"Ribeiro de Sousa","sequence":"additional","affiliation":[]},{"given":"Jean-Marc","family":"Desmet","sequence":"additional","affiliation":[]},{"given":"Alain","family":"Van Meerhaeghe","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5609-7935","authenticated-orcid":true,"given":"Antonietta","family":"Mira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6638-0945","authenticated-orcid":true,"given":"Bastien","family":"Chopard","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2022,3,10]]},"reference":[{"key":"pcbi.1009910.ref001","unstructured":"Organization WH; 2015. http:\/\/www.who.int\/mediacentre\/factsheets\/fs317\/en\/."},{"issue":"8","key":"pcbi.1009910.ref002","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1001\/jama.2010.181","article-title":"Comparison of platelet function tests in predicting clinical outcome in patients undergoing coronary stent implantation","volume":"303","author":"NJ Breet","year":"2010","journal-title":"Jama"},{"key":"pcbi.1009910.ref003","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.transci.2011.03.006","article-title":"In-vitro assessment of platelet function","volume":"44","author":"SM Picker","year":"2011","journal-title":"Transfus Apher Sci"},{"issue":"8","key":"pcbi.1009910.ref004","doi-asserted-by":"crossref","first-page":"1803","DOI":"10.3390\/ijms18081803","article-title":"Platelet aggregometry testing: Molecular mechanisms, techniques and clinical implications","volume":"18","author":"K Koltai","year":"2017","journal-title":"International journal of molecular sciences"},{"issue":"4","key":"pcbi.1009910.ref005","doi-asserted-by":"crossref","first-page":"170219","DOI":"10.1098\/rsos.170219","article-title":"A physical description of the adhesion and aggregation of platelets","volume":"4","author":"B Chopard","year":"2017","journal-title":"Royal Society open science"},{"issue":"6","key":"pcbi.1009910.ref006","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1080\/09537100802082256","article-title":"Testing agonist-induced platelet aggregation by the Impact-R [Cone and plate (let) analyzer (CPA)]","volume":"19","author":"B Shenkman","year":"2008","journal-title":"Platelets"},{"issue":"1","key":"pcbi.1009910.ref007","first-page":"e66","article-title":"Fundamentals and recent developments in approximate Bayesian computation","volume":"66","author":"J Lintusaari","year":"2017","journal-title":"Systematic biology"},{"key":"pcbi.1009910.ref008","doi-asserted-by":"crossref","first-page":"1128","DOI":"10.3389\/fphys.2018.01128","article-title":"Parameter estimation of platelets deposition: Approximate Bayesian computation with high performance computing","volume":"9","author":"R Dutta","year":"2018","journal-title":"Frontiers in physiology"},{"key":"pcbi.1009910.ref009","unstructured":"Su\u00e1rez JL, Garc\u00eda S, Herrera F. 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