{"id":971,"date":"2018-09-10T11:33:02","date_gmt":"2018-09-10T09:33:02","guid":{"rendered":"http:\/\/iict-space.heig-vd.ch\/cpn\/?page_id=971"},"modified":"2018-10-08T11:03:37","modified_gmt":"2018-10-08T09:03:37","slug":"biomedical-applications","status":"publish","type":"page","link":"http:\/\/iict-space.heig-vd.ch\/cpn\/research\/biomedical-applications\/","title":{"rendered":"Biomedical Applications"},"content":{"rendered":"<p><a name=\"top\"><\/a><\/p>\n<h6><a href=\"#1\">Description<\/a><\/h6>\n<h6><a href=\"#2\">Research projects<\/a><\/h6>\n<h6><a href=\"#3\">Related Publications<\/a><\/h6>\n<h6><a href=\"#4\">Invited lectures&amp;talks<\/a><\/h6>\n<h6><a href=\"#5\">Media<\/a><\/h6>\n<h6><a href=\"#6\">Student projects supervised<\/a><\/h6>\n<h4><\/h4>\n<h2 id=\"1\">Description<\/h2>\n<div>CI4CB research focuses on the development of new methods in computational intelligence (data analysis and\u00a0 predictive modeling based on supervised and unsupervised learning) and their application to life sciences\u00a0and\u00a0 biomedical engineering. CI4CB special interest is to give explanatory power to AI-based models, especially based\u00a0 on\u00a0fuzzy logic and supervised evolutionary algorithms to build grey-box predictive models.<\/div>\n<div><\/div>\n<h2 id=\"2\">Research projects<\/h2>\n<h4>Grants and external funding<\/h4>\n<ul>\n<li>MaLDIveS (Machine Learning DIagnostic Soil): S\u00e9quen\u00e7age \u00e0 ultra-haut d\u00e9bit, bioinformatique et Machine Learning comme outil de Diagnostic de la sant\u00e9 des Sols. 2017-2019. National funding: HES-SO. In collaboration with HES-SO Changins.<\/li>\n<li>INPHINITY: <em><i>In<\/i><\/em><em><i> silico<\/i><\/em> prediction of phage\u00ad-bacteria infection networks as a tool to implement personalized phage therapy. 2016-2019. National Funding: SNSF Project. In collaboration with the University of Lausanne and the Inselspital at Bern.<\/li>\n<li>BOSS Explorer: Development and integration of new methods for exploration, selection, and visualization of diagnostic signatures. 2016-2017. National Funding: CTI Agency. In collaboration with SimplicityBio SA, Monthey, Switzerland.<\/li>\n<li>FISHGUARD: Improving of fish viral diseases monitoring through the development of rapid diagnostic tests. 2015-2018. European Funding: Eurostars-Eureka Program. In collaboration with two SMEs from Poland and France.<\/li>\n<li>HP-FuzzyBio: High-peformance Pipeline for Fuzzy Modelling in Bioinformatics. 2013-2014. National Funding: RCSO. In collaboration with Hepia (Geneva University of Applied Sciences)<\/li>\n<li>DiagnoSuite: Suite of data analysis and data management tools for discovering, developing, deploying, and exploiting biomarker-based diagnostic screening tests. 2013-2014. National Funding: CTI Agency. In collaboration with Diagnoplex SA, Epalinges, Switzerland.<\/li>\n<li>nanoFUGE: FUzzy modelling Gene-Expression data from Nanostring technology. 2010-2014. National Funding: SNSF Project. In collaboration with the University of Geneva and the University Hospitals of Geneva. In the frame of the SNSF Project \u201cLeukaemia diagnosis using Nanotechnology\u201d.<\/li>\n<li>ISyPeM: Intelligent Integrated Systems for Personalized Medicine. 2010-2013. National Funding: Nano-Tera Initiative. Member of a large consortium of several Swiss universities.<\/li>\n<li>TIC4AGRO: Revealing new opportunities for small-scale fruit growers in Colombia by harnessing time in a collaborative site-specific agricultural setup. 2012. National funding: KFH Agency.<\/li>\n<li>PharMEA: Multi-Electrode Array technology based platform for industrial pharmacology and toxicology drug screening. 2009-2011. European Funding: FP7 European project, Research for SMEs instrument. In collaboration with a consortium of several European universities and SMEs.<\/li>\n<li>High-performance reconfigurable computing toolset and development methodology for bioinformatics and computational biology applications. 2009-2010. National funding: RCSO.<\/li>\n<\/ul>\n<h4>Private Research Agreements<\/h4>\n<ul>\n<li>FlouColoX:. Syst\u00e8mes flous pour le d\u00e9pistage du cancer colorectal (Fuzzy systems for colorectal cancer screening). 2010-2012. Research agreement with Diagnoplex SA, Epalinges, Switzerland.<\/li>\n<li>FUGE-LC: Fuzzy Modelling from Gene Expression Data &#8211; Lung Cancer. 2009-2011. Research agreement with Philip Morris International R&amp;D Division.<\/li>\n<\/ul>\n<h2 id=\"3\">Related Publications<\/h2>\n<h4>Peer reviewed conference<\/h4>\n<ol>\n<li>D. Leite, J. Fernando Lopez, X. Brochet, <a href=\"https:\/\/scholar.google.ch\/citations?user=GqnluRIAAAAJ\">M.-A. Barreto-Sanz<\/a>, Y. Que, G. Resch, and <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a<\/a>, &#8220;Exploration of multiclass and one-class learning methods for prediction of phage-bacteria interaction at strain level\u201d, Submitted for peer reviewing to the 2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018).<\/li>\n<li>Z. Mungloo-Dilmohamud, G. Marigliano, Y. Jaufeerally-Fakim, and <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a<\/a>, &#8220;A Comparative Study of Feature Selection Methods for Biomarker Discovery\u201d, Submitted for peer reviewing to the 2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018).<\/li>\n<li>D-V. Ram\u00edrez L\u00f3pez, C. Pe\u00f1a, and \u00c1-J. Rojas, &#8220;Agent-based modeling of mesenchymal stem cells on a 3D-printed bio-device for the regenerative treatment of the infarcted myocardium&#8221;, Submitted for peer reviewing to the 2018 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2018).<\/li>\n<li>D. Leite, X. Brochet, G. Resch, Y. Que, A. Neves, and <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a<\/a>, Computational Prediction of Host-Pathogen Interactions Through Omics Data Analysis and Machine Learning,IWBBIO 2017Bioinformatics and Biomedical Engineering pp 360-371, 2017. <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-319-56154-7_33\"><em>DOI<\/em> <\/a><\/li>\n<li>Z. Mungloo, Y. Jaufeerally, and <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a<\/a>, A Meta-Review of Feature Selection Techniques in the Context of Microarray Data,IWBBIO 2017. Bioinformatics and Biomedical Engineering pp 33-49, 2017. <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-319-12745-3_4\"><em>DOI<\/em> <\/a><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=GqnluRIAAAAJ\">M.-A. Barreto-Sanz<\/a>, A. Bujard and <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a<\/a>, Evolving very compact fuzzy systems for gene expression data analysis. Proceedings of the IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012, pp. 356-361, 2012. <em><a href=\"http:\/\/dx.doi.org\/10.1109\/bibe.2012.6399650\">DOI<\/a> \u2013 <a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=6399650\">PDF<\/a><\/em><\/li>\n<li>J. Rossier, <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a>, Extrinsic evolution of fuzzy systems applied to disease diagnosis, ICES 2010. Lecture Notes in Computer Science, Vol. 6274\/2010, 226-237, 2010. <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-642-15323-5_20\"><em>DOI<\/em> <\/a><\/li>\n<li><a href=\"https:\/\/scholar.google.com\/citations?user=5HggroQAAAAJ\">M.A. Melgarejo<\/a>, <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a>, <a href=\"https:\/\/scholar.google.ch\/citations?user=QZZZfKQAAAAJ\">E. Sanchez<\/a>. A genetic-fuzzy system approach to control a model of the HIV infection dynamics. Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 2323 \u2013 2330, 2006. <em><a href=\"http:\/\/dx.doi.org\/10.1109\/fuzzy.2006.1682023\">DOI<\/a> \u2013 <a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=1682023\">PDF<\/a><\/em><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a>, M. Sipper, and L. Prieto. Sensitive, specific, and interpretable: Evolving a fuzzy mammographic-interpretation assessment tool. 2002 IEEE International Fuzzy Systems Conference Proceedings, pages 837-842. IEEE Neural Network Society, 2002. <em><a href=\"http:\/\/dx.doi.org\/10.1109\/fuzz.2002.1006613\">DOI<\/a> \u2013 <a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=1006613\">PDF<\/a><\/em><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a> and M. Sipper. Applying Fuzzy CoCo to breast cancer diagnosis. Proceedings of the 2000 Congress on Evolutionary Computation (CEC00), volume 2, pages 1168-1175. IEEE Press, Piscataway, NJ, USA, 2000. <em><a href=\"http:\/\/dx.doi.org\/10.1109\/cec.2000.870780\">DOI<\/a> \u2013 <a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=870780\">PDF<\/a><\/em><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a> and M. Sipper. Designing breast cancer diagnostic systems via a hybrid fuzzy-genetic methodology.<br \/>\nIEEE International Fuzzy Systems Conference Proceedings, volume 1, pages 135-139. IEEE Neural Network Council, 1999. <em><a href=\"http:\/\/dx.doi.org\/10.1109\/fuzzy.1999.793220\">DOI<\/a> \u2013 <a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=793220\">PDF<\/a><\/em><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a> and M. Sipper. Evolving fuzzy rules for breast cancer diagnosis. Proceedings of 1998 International Symposium on Nonlinear Theory and Applications (NOLTA\u201998), volume 2, pages 369-372. Presses Polytechniques et Universitaires Romandes, Lausanne, 1998.<\/li>\n<\/ol>\n<h4>Journal Papers<\/h4>\n<ol>\n<li>N. Grandjean, B. Charpiot, <a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a<\/a>, <a href=\"https:\/\/scholar.google.com\/citations?user=M6yiiNEAAAAJ&amp;hl=en\">M. C. Peitsch<\/a>.Competitive Intelligence and Patent Analysis in Drug Discovery. Mining the competitive knowledge bases and patents. Drug Discovery Today: Technologies. 3:211-215, 2005. <a href=\"http:\/\/dx.doi.org\/10.1016\/j.ddtec.2005.08.007\"><em>DOI<\/em> <\/a><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a>. Evolutionary fuzzy modelling human diagnostic decisions. Annals of the New York Academy of Sciences, pages 190-211, May 2004. <em><a href=\"http:\/\/dx.doi.org\/10.1196\/annals.1310.017\">DOI <\/a>\u2013<\/em> <a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1196\/annals.1310.017\/epdf\"><em>PDF<\/em> <\/a><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a> and M. Sipper. Evolutionary computation in medicine: An overview. Artificial Intelligence in Medicine, 19(1):1-23, May 2000. <em><a href=\"http:\/\/dx.doi.org\/10.1016\/s0933-3657(99)00047-0\">DOI<\/a><\/em><\/li>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a> and M. Sipper. A fuzzy-genetic approach to breast cancer diagnosis. Artificial Intelligence in Medicine, 17(2):131-155, October 1999. <em><a href=\"http:\/\/dx.doi.org\/10.1109\/cec.2000.870780\">DOI<\/a> \u2013<\/em> <em><a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=870780\">PDF<\/a><\/em><\/li>\n<\/ol>\n<h4>Book chapters<\/h4>\n<ul>\n<li><a href=\"https:\/\/scholar.google.ch\/citations?user=hpj7NoEAAAAJ\">C.A. Pe\u00f1a-Reyes<\/a> and M. Sipper. Combining evolutionary and fuzzy techniques in medical diagnosis.<br \/>\nM. Schmitt, H. N. Teodorescu, A. Jain, A. Jain, S. Jain, and L. C. Jain, editors, Computational Intelligence Techniques in Medical Diagnosis and Prognosis, volume 96 of Studies in Fuzziness and Soft Computing, chapter 14, pages 391-426. Springer-Verlag, Heidelberg, 2002. <a href=\"http:\/\/dx.doi.org\/10.1007\/978-3-7908-1788-1_14\"><em>DOI<\/em> <\/a><\/li>\n<\/ul>\n<h2 id=\"4\">Invited lectures&amp;talks<\/h2>\n<h2 id=\"5\">Media<\/h2>\n<h4>Gallery<\/h4>\n<p><iframe loading=\"lazy\" width=\"530\" height=\"398\" src=\"https:\/\/www.youtube.com\/embed\/oa9bAMJxJGs?feature=oembed\" frameborder=\"0\" allow=\"autoplay; encrypted-media\" allowfullscreen><\/iframe><\/p>\n<h4>Tools<\/h4>\n<ul>\n<li>WeStBESel :Webserver for Sequential B-cell Epitope Selection (<a href=\"http:\/\/westbesel.iict.ch\/\">http:\/\/westbesel.iict.ch\/<\/a>)<\/li>\n<\/ul>\n<h4>Posters<\/h4>\n<ul>\n<li><a href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-content\/uploads\/sites\/19\/2018\/06\/poster-SIB-DAYS-2018-V2-Diogo-1.pdf\">Poster SIB Days 2018 &#8211; Exploration of a large spectrum of machine-learning techniques to predict phage-bacterium interactions<\/a><\/li>\n<li><a href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-content\/uploads\/sites\/19\/2018\/06\/posterSIB2018-Juan-2.pdf\">Poster SIB Days 2018 &#8211; Applying one-class learning algorithms for predicting phage-bacteria interactions <\/a><\/li>\n<li><a href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-content\/uploads\/sites\/19\/2017\/05\/poster-SSM-2017-V3.pdf\">Poster SSM 2017 &#8211; Machine-learning models able to predict phage-bacteria interactions<\/a><\/li>\n<li><a href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-content\/uploads\/sites\/19\/2017\/10\/poster-TD17-2017-V4-1.pdf\">Computational models able to predict phage-bacteria relationships through genomics data analysis<\/a><\/li>\n<li><a href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-content\/uploads\/sites\/19\/2018\/09\/Poster.pdf\">Poster ICCMg 2016 &#8211;\u00a0Computational prediction of inter-species relationships through omics\u00a0data analysis and machine learning<\/a><\/li>\n<li><a href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-content\/uploads\/sites\/19\/2016\/07\/INPHINITY_SIB-Days-Poster-final.pdf\">Poster SIB Days 2016 &#8211; In silico prediction of phage-bacteria infection networks as a tool to implement personalized phage therapy (INPHINITY)<\/a><\/li>\n<\/ul>\n<h2 id=\"6\">Student projects supervised<\/h2>\n<h4>Co-supervision of PHD Thesis<\/h4>\n<ul>\n<li>In Sillico prediction of phage-bacteria infection networks as a tool to implement personalized phage therapy\u2028 (In course), Diogo Carvalho Leite, University of Lausanne, 2016 (In progress)<\/li>\n<li>Computational methods for robust feature selection in the context of gene-expression profiling and biomarker discovery: robust and novel methods for feature selection (In course), Zahra Mungloo-Dilmohamud, University of Mauritius, 2014 (In progress)<\/li>\n<\/ul>\n<h4>Master Theses and Bachelor projects<\/h4>\n<ul>\n<li><span lang=\"en-US\">Deep learning applied to retina images, Mar\u00eda Camila Alvarez Trivi\u00f1o\u2028<\/span><span lang=\"en-US\">, 2016, In collaboration with University \u201cAutonoma de Occidente\u201d, Cali, Colombia.<\/span><\/li>\n<li><span lang=\"fr-CH\">Dockerisation d&#8217;environement pour les projets de bioinformatique (Dockerization of computational tools for bioinformatics), Vincent Deruaz, HES-SO, 2016<\/span><\/li>\n<li><span lang=\"fr-CH\">Mod\u00e9lisation pr\u00e9dictive des interactions entre bact\u00e9ries et virus bacteriophages (Predictive modeling of interactions between bacteria and bacteriophages), Diogo Leite, HES-SO and ISEP (Portugal), 2015-16. <\/span><span lang=\"en-US\">In collaboration with CHUV and UNIL.<\/span><\/li>\n<li><span lang=\"en-US\">Predictive Modelling for NMR metabolic profiles, Rui Reis, HEIG-VD, 2015. In collaboration with University del Valle, Cali, Colombia.<\/span><\/li>\n<li><span lang=\"en-US\">InSilico Gene Designer. Hadrien Froger, HEIG-VD, 2014. In collaboration with Recombina SA. Pamplona, Spain.<\/span><\/li>\n<li><span lang=\"en-US\">Producing more and better tropical crops by means of bio-inspired models. Alexandre Grillon. HEIG-VD, 2014. In collaboration with CIAT &#8211; International Center for Tropical Agriculture, Cali, Colombia.<\/span><\/li>\n<li><span lang=\"en-US\">Integrating Categorical Variables in Fuzzy Modelling for Biomarker Selection. Diogo Leite. HEIG-VD and ISEP (Portugal), 2014. In collaboration with SimplicityBio, Monthey, Switzerland.<\/span><\/li>\n<li><span lang=\"fr-CH\">SMPL-GRAPH: Environnement graphique pour le d\u00e9veloppement de workflows en bioinformatique. <\/span><span lang=\"en-US\">(Graphic environment for the development of bioinformatics workflows). Virgile Rumo, HES-SO, 2014. <\/span><span lang=\"fr-CH\">In collaboration with SimplicityBio, Monthey, Switzerland.<\/span><\/li>\n<li><span lang=\"fr-CH\">Outil de diagnostique automatis\u00e9 en milieu hospitalier (Automation of a diagnostic tool in a hospital milieu). <\/span><span lang=\"en-US\">Hans Wilhelm Schwendimann, HES-SO, 2013-14. In collaboration with University Hospital of Lausanne.<\/span><\/li>\n<li>PersoMed: Architecture d\u2019un syst\u00e8me de calcul de dosage de m\u00e9dicaments personnalis\u00e9 et adaptatif (PersoMed\u00a0: Architecture of a personalized and adaptive drug dose-computing system), Jean-Philippe Meylan, HES-SO, 2011<\/li>\n<li>Librairie graphique d\u00e9di\u00e9e \u00e0 l\u2019interpr\u00e9tation de mod\u00e8les bio-inspir\u00e9s (Graphic library for interpreting bio-inspired models), Pascal Berberat, HEIG-VD, 2011<\/li>\n<li>Syst\u00e8me bio-inspir\u00e9 pour le diagnostique de cancer\u00a0: analyse de strat\u00e9gies de diagnostique multi-classes (Bioinspired system for cancer diagnostics\u00a0: analysis of strategies for multi-class diagnostics), Direma Martea, HEIG-VD, 2011<\/li>\n<li>Applications en bioinformatique bioinspir\u00e9e\u00a0: m\u00e9thodes pour l\u2019analyse et la mod\u00e9lisation de donn\u00e9es m\u00e9tabolomiques (Applied bioinspired bioinformatics\u00a0: methods for analysing and modeling metabolomics data), Alexandre Bujard, HEIG-VD, 2010<\/li>\n<li>Syst\u00e8me bio-inspir\u00e9 pour l\u2019analyse de donn\u00e9es biom\u00e9dicales, application au diagnostique de cancer gyn\u00e9cologique (Bioinspired system for biomedical data analysis, application to gynecological cancer diagnosis), Joao Dos Santos, HEIG-VD, 2009<\/li>\n<li><span lang=\"en-US\">Computational Systems Biology (Modelling biological networks with Probabilistic Boolean Networks), Debasree Banerjee, EPFL-Novartis, 2007<\/span><\/li>\n<li>ODE-like fuzzy modeling of biological networks, Stephane Schnyder, EPFL-Novartis, 2007<\/li>\n<li>Evolutionary fuzzy modeling of biological networks, Thibaut Christe, EPFL-Novartis, 2006<\/li>\n<li>Coevolutionary fuzzy systems for solving the protein location problem, Yves Pessina, EPFL, 2004<\/li>\n<li>Evolving finite state machines for protein location modeling, Julien Nicolas, EPFL, 2004<\/li>\n<li>Computational model for simulating morphogenesis in living tissues, Jer\u00f4me Guerra and Marc-Antoine Nuesli, EPFL, 2004<\/li>\n<li>A fuzzy logic-based tool for computer-assisted breast cancer diagnosis, Richard Greset, EPFL, 2001.<\/li>\n<li>Hybrid learning (neural-evolutionary) of a fuzzy system for breast cancer diagnosis, Jean-Francois Philagor (in cooperation with M. Sipper), EPFL, 1999.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Description Research projects Related Publications Invited lectures&amp;talks Media Student projects supervised Description CI4CB research focuses on the development of new methods in computational intelligence (data analysis and\u00a0 predictive modeling based on supervised and unsupervised learning) and their application to life <a class=\"more-link\" href=\"http:\/\/iict-space.heig-vd.ch\/cpn\/research\/biomedical-applications\/\">Continue reading <span class=\"screen-reader-text\">  Biomedical Applications<\/span><span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":13,"featured_media":0,"parent":69,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"page-disable-sidebar.php","meta":[],"_links":{"self":[{"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/pages\/971"}],"collection":[{"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/comments?post=971"}],"version-history":[{"count":33,"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/pages\/971\/revisions"}],"predecessor-version":[{"id":1151,"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/pages\/971\/revisions\/1151"}],"up":[{"embeddable":true,"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/pages\/69"}],"wp:attachment":[{"href":"http:\/\/iict-space.heig-vd.ch\/cpn\/wp-json\/wp\/v2\/media?parent=971"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}