{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,29]],"date-time":"2026-09-29T03:11:40Z","timestamp":1790651500517,"version":"4.1.0"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,2,26]],"date-time":"2024-02-26T00:00:00Z","timestamp":1708905600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","award":["RGPIN-2020-05522"],"award-info":[{"award-number":["RGPIN-2020-05522"]}],"id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000196","name":"Canada Foundation for Innovation","doi-asserted-by":"publisher","award":["38964"],"award-info":[{"award-number":["38964"]}],"id":[{"id":"10.13039\/501100000196","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021202","name":"Alliance de recherche num\u00e9rique du Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100021202","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Journal of the Mechanical Behavior of Biomedical Materials"],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1016\/j.jmbbm.2024.106478","type":"journal-article","created":{"date-parts":[[2024,2,27]],"date-time":"2024-02-27T02:38:36Z","timestamp":1709001516000},"page":"106478","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":9,"special_numbering":"C","title":["Material characterization of human middle ear using machine-learning-based surrogate models"],"prefix":"10.1016","volume":"153","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4571-9177","authenticated-orcid":false,"given":"Arash","family":"Ebrahimian","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9073-1004","authenticated-orcid":false,"given":"Hossein","family":"Mohammadi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0853-996X","authenticated-orcid":false,"given":"Nima","family":"Maftoon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.jmbbm.2024.106478_bib1","doi-asserted-by":"crossref","DOI":"10.1088\/1742-6596\/1397\/1\/012073","article-title":"A comparison of extreme gradient boosting, SARIMA, exponential smoothing, and neural network models for forecasting rainfall data","volume":"1397","author":"Agata","year":"2019","journal-title":"J. Phys. Conf. Ser."},{"key":"10.1016\/j.jmbbm.2024.106478_bib2","doi-asserted-by":"crossref","first-page":"127","DOI":"10.1016\/j.clinbiomech.2019.07.016","article-title":"Engineering approaches for characterizing soft tissue mechanical properties: a review","volume":"69","author":"Alekya","year":"2019","journal-title":"Clin. Biomech."},{"key":"10.1016\/j.jmbbm.2024.106478_bib3","series-title":"BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization","author":"Balandat","year":"2020"},{"key":"10.1016\/j.jmbbm.2024.106478_bib4","doi-asserted-by":"crossref","DOI":"10.1098\/rsos.201121","article-title":"Surrogate models based on machine learning methods for parameter estimation of left ventricular myocardium","volume":"8","author":"Cai","year":"2021","journal-title":"R. Soc. Open Sci."},{"key":"10.1016\/j.jmbbm.2024.106478_bib5","doi-asserted-by":"crossref","first-page":"178","DOI":"10.3390\/diagnostics9040178","article-title":"A machine-learning-based prediction method for hypertension outcomes based on medical data","volume":"9","author":"Chang","year":"2019","journal-title":"Diagnostics"},{"key":"10.1016\/j.jmbbm.2024.106478_bib6","series-title":"Proc. 22nd ACM SIGKDD Int. Conf. Knowl. Discov. Data Min","first-page":"785","article-title":"XGBoost: a scalable tree boosting system","author":"Chen","year":"2016"},{"key":"10.1016\/j.jmbbm.2024.106478_bib7","doi-asserted-by":"crossref","first-page":"13149","DOI":"10.1109\/ACCESS.2019.2893448","article-title":"XGBoost-based algorithm interpretation and application on post-fault transient stability status prediction of power system","volume":"7","author":"Chen","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.jmbbm.2024.106478_bib8","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1121\/1.5087134","article-title":"Tympanic membrane surface motions in forward and reverse middle ear transmissions","volume":"145","author":"Cheng","year":"2019","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.jmbbm.2024.106478_bib9","doi-asserted-by":"crossref","first-page":"117","DOI":"10.3389\/fphy.2019.00117","article-title":"Prediction of left ventricular mechanics using machine learning","volume":"7","author":"Dabiri","year":"2019","journal-title":"Front. Physiol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-020-79191-4","article-title":"Application of feed forward and recurrent neural networks in simulation of left ventricular mechanics","volume":"10","author":"Dabiri","year":"2020","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jmbbm.2024.106478_bib11","doi-asserted-by":"crossref","DOI":"10.3390\/su132112071","article-title":"PM2. 5 concentration prediction based on spatiotemporal feature selection using XGBoost-MSCNN-GA-LSTM","volume":"13","author":"Dai","year":"2021","journal-title":"Sustainability"},{"key":"10.1016\/j.jmbbm.2024.106478_bib12","doi-asserted-by":"crossref","first-page":"1555","DOI":"10.1111\/rssc.12374","article-title":"Fast parameter inference in a biomechanical model of the left ventricle by using statistical emulation","volume":"68","author":"Davies","year":"2019","journal-title":"J. R. Stat. Soc. Ser. C Appl. Stat."},{"key":"10.1016\/j.jmbbm.2024.106478_bib13","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/j.heares.2016.11.011","article-title":"Effects of model definitions and parameter values in finite element modeling of human middle ear mechanics","volume":"344","author":"De Greef","year":"2017","journal-title":"Hear. Res."},{"key":"10.1016\/j.jmbbm.2024.106478_bib14","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1007\/s10162-008-0115-1","article-title":"Simultaneous measurements of ossicular velocity and intracochlear pressure leading to the cochlear input impedance in gerbil","volume":"9","author":"de La Rochefoucauld","year":"2008","journal-title":"J. Assoc. Res. Otolaryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib15","series-title":"2nd Int. Symp. Middle Ear Mech. Res. Otosurgery Oct 21-24 1999 Boston Mass","first-page":"23","article-title":"New insights into vibration of the middle ear","author":"Decraemer","year":"2000"},{"key":"10.1016\/j.jmbbm.2024.106478_bib16","doi-asserted-by":"crossref","first-page":"2774","DOI":"10.1121\/1.2709843","article-title":"Scala vestibuli pressure and three-dimensional stapes velocity measured in direct succession in gerbil","volume":"121","author":"Decraemer","year":"2007","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.jmbbm.2024.106478_bib17","first-page":"483","article-title":"Three-dimensional vibration of the malleus and incus in the living gerbil","volume":"15","author":"Decraemer","year":"2014","journal-title":"J. Assoc. Res. Otolaryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib18","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1039\/D1ME00154J","article-title":"Bayesian optimization for material discovery processes with noise","volume":"7","author":"Diwale","year":"2022","journal-title":"Mol. Syst. Des. Eng."},{"key":"10.1016\/j.jmbbm.2024.106478_bib19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1038\/s41598-018-26514-1","article-title":"In vivo detection of nanometer-scale structural changes of the human tympanic membrane in otitis media","volume":"8","author":"Dsouza","year":"2018","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jmbbm.2024.106478_bib20","series-title":"Stochastic Finite Element Modelling of Human Middle-Ear","author":"Ebrahimian","year":"2021"},{"key":"10.1016\/j.jmbbm.2024.106478_bib24","unstructured":"Ebrahimian, A., Mohammadi, H., Maftoon, N., Mechanical effects of medical device attachment to human tympanic membrane, J. Assoc. Res. Otolaryngol. doi:10.1007\/s10162-024-009. 42-5. (Accepted for Publication)."},{"key":"10.1016\/j.jmbbm.2024.106478_bib23","doi-asserted-by":"crossref","DOI":"10.1038\/s41598-023-34018-w","article-title":"Inaccuracies of deterministic finite-element models of human middle ear revealed by stochastic modelling","volume":"13","author":"Ebrahimian","year":"2023","journal-title":"Sci. Rep."},{"key":"10.1016\/j.jmbbm.2024.106478_bib22","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1121\/10.0020273","article-title":"Relative importance and interactions of parameters of finite-element models of human middle ear","volume":"154","author":"Ebrahimian","year":"2023","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.jmbbm.2024.106478_bib21","doi-asserted-by":"crossref","DOI":"10.1016\/j.ijmecsci.2021.106390","article-title":"Material characterization of thin planar structures using full-field harmonic vibration response measured with stroboscopic holography","volume":"198","author":"Ebrahimian","year":"2021","journal-title":"Int. J. Mech. Sci."},{"key":"10.1016\/j.jmbbm.2024.106478_bib25","doi-asserted-by":"crossref","first-page":"1428","DOI":"10.1016\/j.jrmge.2021.09.003","article-title":"Data-driven estimation of joint roughness coefficient","volume":"13","author":"Fathipour-Azar","year":"2021","journal-title":"J. Rock Mech. Geotech. Eng."},{"key":"10.1016\/j.jmbbm.2024.106478_bib26","doi-asserted-by":"crossref","first-page":"33","DOI":"10.1007\/s10237-004-0044-9","article-title":"Lumped parametric model of the human ear for sound transmission","volume":"3","author":"Feng","year":"2004","journal-title":"Biomech. Model. Mechanobiol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib27","doi-asserted-by":"crossref","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: a gradient boosting machine","volume":"29","author":"Friedman","year":"2001","journal-title":"Ann. Stat."},{"key":"10.1016\/j.jmbbm.2024.106478_bib28","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/S0167-9473(01)00065-2","article-title":"Stochastic gradient boosting","volume":"38","author":"Friedman","year":"2002","journal-title":"Comput. Stat. Data Anal."},{"key":"10.1016\/j.jmbbm.2024.106478_bib29","series-title":"Middle Ear Sci. Otosurgery Technol","first-page":"171","article-title":"Modeling of middle ear mechanics","author":"Funnell","year":"2013"},{"key":"10.1016\/j.jmbbm.2024.106478_bib30","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1097\/00129492-200205000-00008","article-title":"Three-dimensional modeling of middle ear biomechanics and its applications","volume":"23","author":"Gan","year":"2002","journal-title":"Otol. Neurotol. Off. Publ. Am. Otol. Soc. Am. Neurotol. Soc. Eur. Acad. Otol. Neurotol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib31","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1023\/B:ABME.0000030260.22737.53","article-title":"Three-Dimensional finite element modeling of human ear for sound transmission","volume":"32","author":"Gan","year":"2004","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.jmbbm.2024.106478_bib32","doi-asserted-by":"crossref","first-page":"351","DOI":"10.1038\/s41578-019-0169-1","article-title":"The stiffness of living tissues and its implications for tissue engineering","volume":"5","author":"Guimar\u00e3es","year":"2020","journal-title":"Nat. Rev. Mater."},{"key":"10.1016\/j.jmbbm.2024.106478_bib33","series-title":"Comput. Psychom. New Methodol. New Gener. Digit. Learn. Assess","first-page":"159","article-title":"Supervised machine learning","author":"Hao","year":"2021"},{"key":"10.1016\/j.jmbbm.2024.106478_bib34","doi-asserted-by":"crossref","first-page":"348","DOI":"10.1177\/000348940311200409","article-title":"Fixation of the anterior mallear ligament: diagnosis and consequences for hearing results in stapes surgery","volume":"112","author":"Huber","year":"2003","journal-title":"Ann. Otol. Rhinol. Laryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib35","first-page":"69","article-title":"Real-time automated thickness measurement of the in vivo human tympanic membrane using optical coherence tomography","volume":"5","author":"Hubler","year":"2015","journal-title":"Quant. Imaging Med. Surg."},{"key":"10.1016\/j.jmbbm.2024.106478_bib36","doi-asserted-by":"crossref","first-page":"455","DOI":"10.1023\/A:1008306431147","article-title":"Efficient global optimization of expensive black-box functions","volume":"13","author":"Jones","year":"1998","journal-title":"J. Global Optim."},{"key":"10.1016\/j.jmbbm.2024.106478_bib37","doi-asserted-by":"crossref","first-page":"4305","DOI":"10.1007\/s00405-020-06571-x","article-title":"Wideband absorbance tympanometry: a novel method in identifying otosclerosis","volume":"278","author":"Karuppannan","year":"2021","journal-title":"Eur. Arch. Oto-Rhino-Laryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib38","first-page":"1","article-title":"Recent advances and applications of surrogate models for finite element method computations: a review","author":"Kudela","year":"2022","journal-title":"Soft Comput."},{"key":"10.1016\/j.jmbbm.2024.106478_bib39","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2021.104794","article-title":"Computation of a probabilistic and anisotropic failure metric on the aortic wall using a machine learning-based surrogate model","volume":"137","author":"Liu","year":"2021","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.jmbbm.2024.106478_bib40","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.eswa.2016.11.037","article-title":"A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning","volume":"71","author":"Lorente","year":"2017","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.jmbbm.2024.106478_bib41","doi-asserted-by":"crossref","DOI":"10.1115\/1.4043290","article-title":"Bridging finite element and machine learning modeling: stress prediction of arterial walls in atherosclerosis","volume":"141","author":"Madani","year":"2019","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.jmbbm.2024.106478_bib42","doi-asserted-by":"crossref","first-page":"547","DOI":"10.1007\/s10162-015-0531-y","article-title":"Finite-element modelling of the response of the gerbil middle ear to sound","volume":"16","author":"Maftoon","year":"2015","journal-title":"J. Assoc. Res. Otolaryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib43","doi-asserted-by":"crossref","first-page":"2363","DOI":"10.1007\/s11837-020-04155-y","article-title":"Machine learning in additive manufacturing: a review","volume":"72","author":"Meng","year":"2020","journal-title":"Jom"},{"key":"10.1016\/j.jmbbm.2024.106478_bib44","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1002\/env.1133","article-title":"Circular conditional autoregressive modeling of vector fields","volume":"23","author":"Modlin","year":"2012","journal-title":"Environmetrics"},{"key":"10.1016\/j.jmbbm.2024.106478_bib45","doi-asserted-by":"crossref","first-page":"671","DOI":"10.1007\/s10162-017-0630-z","article-title":"Fluid-structure finite-element modelling and clinical measurement of the wideband acoustic input admittance of the newborn ear canal and middle ear","volume":"18","author":"Motallebzadeh","year":"2017","journal-title":"J. Assoc. Res. Otolaryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib46","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1007\/s10162-016-0587-3","article-title":"Finite-element modelling of the acoustic input admittance of the newborn ear canal and middle ear","volume":"18","author":"Motallebzadeh","year":"2017","journal-title":"J. Assoc. Res. Otolaryngol."},{"key":"10.1016\/j.jmbbm.2024.106478_bib47","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1061\/JMCEA3.0000098","article-title":"A method of computation for structural dynamics","volume":"85","author":"Newmark","year":"1959","journal-title":"J. Eng. Mech. Div."},{"key":"10.1016\/j.jmbbm.2024.106478_bib48","doi-asserted-by":"crossref","DOI":"10.1098\/rsif.2019.0114","article-title":"Gaussian process emulation to accelerate parameter estimation in a mechanical model of the left ventricle: a critical step towards clinical end-user relevance","volume":"16","author":"No\u00e8","year":"2019","journal-title":"J. R. Soc. Interface"},{"key":"10.1016\/j.jmbbm.2024.106478_bib49","doi-asserted-by":"crossref","first-page":"2836","DOI":"10.1121\/1.5008741","article-title":"The effects of varying tympanic-membrane material properties on human middle-ear sound transmission in a three-dimensional finite-element model","volume":"142","author":"O\u2019Connor","year":"2017","journal-title":"J. Acoust. Soc. Am."},{"key":"10.1016\/j.jmbbm.2024.106478_bib50","unstructured":"F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, Scikit-learn: Machine Learning in Python, Mach. Learn. PYTHON (n.d.) 6.."},{"key":"10.1016\/j.jmbbm.2024.106478_bib51","doi-asserted-by":"crossref","first-page":"93131","DOI":"10.1109\/ACCESS.2019.2927488","article-title":"A data-driven health prognostics approach for steam turbines based on XGBoost and DTW","volume":"7","author":"Que","year":"2019","journal-title":"IEEE Access"},{"key":"10.1016\/j.jmbbm.2024.106478_bib52","doi-asserted-by":"crossref","DOI":"10.1016\/j.cma.2022.115594","article-title":"Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder\u2013decoder surrogate","volume":"401","author":"Ranftl","year":"2022","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"10.1016\/j.jmbbm.2024.106478_bib53","doi-asserted-by":"crossref","DOI":"10.1016\/j.heares.2020.108056","article-title":"Optical coherence tomographic measurements of the sound-induced motion of the ossicular chain in chinchillas: additional modes of ossicular motion enhance the mechanical response of the chinchilla middle ear at higher frequencies","volume":"396","author":"Rosowski","year":"2020","journal-title":"Hear. Res."},{"key":"10.1016\/j.jmbbm.2024.106478_bib54","doi-asserted-by":"crossref","DOI":"10.1115\/1.4052371","article-title":"Parameter identification from normal and pathological middle ears using a tailored parameter identification algorithm","volume":"144","author":"Sackmann","year":"2022","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.jmbbm.2024.106478_bib55","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1109\/JPROC.2015.2494218","article-title":"Taking the human out of the loop: a review of bayesian optimization","volume":"104","author":"Shahriari","year":"2016","journal-title":"Proc. IEEE"},{"key":"10.1016\/j.jmbbm.2024.106478_bib56","series-title":"Engineering Design via Surrogate Modelling: a Practical Guide","author":"Sobester","year":"2008"},{"key":"10.1016\/j.jmbbm.2024.106478_bib57","doi-asserted-by":"crossref","first-page":"2809","DOI":"10.3390\/app9142809","article-title":"High-speed holographic shape and full-field displacement measurements of the tympanic membrane in normal and experimentally simulated pathological ears","volume":"9","author":"Tang","year":"2019","journal-title":"Appl. Sci."},{"key":"10.1016\/j.jmbbm.2024.106478_bib58","doi-asserted-by":"crossref","DOI":"10.1016\/j.compbiomed.2023.106747","article-title":"Finite element modelling of the human middle ear using synchrotron-radiation phase-contrast imaging","volume":"157","author":"Thompson","year":"2023","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.jmbbm.2024.106478_bib59","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1007\/s10162-013-0394-z","article-title":"Full-field thickness distribution of human tympanic membrane obtained with optical coherence tomography","volume":"14","author":"Van der Jeught","year":"2013","journal-title":"J. Assoc. Res. Otolaryngol. JARO"},{"key":"10.1016\/j.jmbbm.2024.106478_bib60","doi-asserted-by":"crossref","DOI":"10.1002\/adts.201900110","article-title":"Influence of algorithm parameters of bayesian optimization, genetic algorithm, and particle swarm optimization on their optimization performance","volume":"2","author":"Wang","year":"2019","journal-title":"Adv. Theory Simul."},{"key":"10.1016\/j.jmbbm.2024.106478_bib61","doi-asserted-by":"crossref","first-page":"4924","DOI":"10.1038\/s41598-020-60652-9","article-title":"Bayesian optimization for materials design with mixed quantitative and qualitative variables","volume":"10","author":"Zhang","year":"2020","journal-title":"Sci. Rep."}],"container-title":["Journal of the Mechanical Behavior of Biomedical Materials"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1751616124001103?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1751616124001103?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T22:57:02Z","timestamp":1761692222000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1751616124001103"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":61,"alternative-id":["S1751616124001103"],"URL":"https:\/\/doi.org\/10.1016\/j.jmbbm.2024.106478","relation":{},"ISSN":["1751-6161"],"issn-type":[{"value":"1751-6161","type":"print"}],"subject":[],"published":{"date-parts":[[2024,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Material characterization of human middle ear using machine-learning-based surrogate models","name":"articletitle","label":"Article Title"},{"value":"Journal of the Mechanical Behavior of Biomedical Materials","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jmbbm.2024.106478","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier Ltd.","name":"copyright","label":"Copyright"}],"article-number":"106478"}}