{"id":691,"date":"2023-04-28T17:33:48","date_gmt":"2023-04-28T17:33:48","guid":{"rendered":"https:\/\/bionanotec.eu\/?page_id=691"},"modified":"2023-04-28T17:48:00","modified_gmt":"2023-04-28T17:48:00","slug":"innovation-vouchers","status":"publish","type":"page","link":"https:\/\/bionanotec.eu\/index.php\/innovation-vouchers\/","title":{"rendered":"INNOVATION VOUCHERS"},"content":{"rendered":"\t\t
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AIMorphologyDiagnosis<\/u> INNOVOUCHER<\/b>\/0722\/0029<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Collection of morphological features of single cells for developing artificial intelligence methods for early cancer diagnosis<\/u> <\/b><\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Funding Scheme:<\/b> Restart Research 2016-2020<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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Programme:<\/strong> INNOVATION VOUCHERS <\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Funding Scheme:<\/b> Restart Research 2016-2020<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Project Title:<\/strong> Collection of morphological features of single cells for developing artificial intelligence methods for early cancer diagnosis\u00a0<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Acronym:<\/strong> AIMorphologyDiagnosis<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Duration:\u00a0 <\/strong>15\/12\/22-15\/5\/23<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Budget:<\/strong>\u00a0 5.000,00\u20ac<\/b><\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Partners:<\/strong><\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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BioNanoTec LTD (Host Organization)<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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EUC Research Centre<\/h4>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t
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General Objectives of the project<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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<\/span>In\n our fight against cancer the cancer diagnosis plays a crucial role. \nFailure of standard cancer\n therapies has dramatic effects on the health and quality of life of \ncancer patients and their families, both physically and emotionally. \nAlthough many of the current available anti-cancer therapeutic \napproaches may have significant results, they still may\n fail if cancer is not detected early and diagnosed appropriately. \nTherefore, from a societal point of view the benefit from the \ndevelopment of novel diagnostic tools\/biomarkers for early cancer \ndiagnosis can improve the efficacy of standard cancer therapies,\n leading to the desired outcome of prolonged disease-free survival. \nWorld Health Organization (WHO) launched the Global Action Plan for the \nPrevention and Control of Noncommunicable Diseases that aims to reduce \nby 25% premature mortality from cancer and other\n diseases (e.g. cardiovascular diseases, diabetes and chronic \nrespiratory) by 2025<\/span>[1]<\/span><\/span><\/span><\/span><\/span><\/a>.\n Cancer rates are set to increase at an alarming rate globally and \nimmediately actions should be taken. According to the WHO, among the \nareas where actions can make a difference to controlling cancer is the \nearly detection so as to help treatment and palliative\n care. Cancer mortality can be reduced if cases are detected early<\/span>[2]<\/span><\/span><\/span><\/span><\/span><\/a>.\n In absence of any early detection, diagnosis and treatment \nintervention, patients are diagnosed at very late stages when curative \ntreatment is no longer an option.<\/u> <\/u><\/span>\n<\/p>

\nSolution suggested by the Host Organization<\/span><\/u><\/b>:\n Cancer development and progression are closely\n associated with changes in cellular phenotype and cytoarchitecture, \nextracellular matrix (ECM) structure and in the mechanical properties of\n both ECM and cancer cells. Very recent work from different ranchers \nworldwide have demonstrated that AI can be used\n on morphological characteristics of the cells from optical\/fluorescence\n microscopy\n<\/span>[1]<\/span><\/span> or from\n<\/span>Atomic Force Microscopy (AFM)<\/span>\n<\/span>[2]<\/span><\/span>\n for cancer diagnosis. However, these techniques have\n not been combined. BioNanoTec aims to develop a novel user-friendly \nsoftware for cancer diagnosis based on microscopy characterization of \ncells. BioNanoTec will combine AI and machine learning techniques for \ncancer diagnosis based on optical microscopy images\n and AFM nanomechanical characterization of the cells. This will enable \novercoming the limitation of using data from only one technique (e.g., \nonly nanomechanical characterization with AFM).\nProblem that the Host Organization faces<\/u><\/b><\/span>:\n BioNanoTec members\n have a great experience on AFM characterization and have started \ndeveloping the software using data from AFM nanomechanical \ncharacterization of different cell lines. The preliminary data are very \nencouraging and promising. Furthermore, they have developed\n a new technique for 3D AFM characterization of the cells and have \nobtained funding from Cyprus Research and Innovation (CONCEPT\/0521\/0069)\n that will help the development of the relevant technique. However, \nBioNanoTec have no access to optical microscopy images.\n A small number of figures that have been obtained are not appropriate \nfor the development, training and testing of the software under \ndevelopment. BioNanoTech need a dataset with images and information from\n cells (of different cancer types) that will correlate\n their invasive properties with their morphological features. <\/u>\n <\/u><\/span><\/p>\nSolution\n through the Innovation Voucher<\/span><\/u><\/b>:\n This project will enable the HO collaborate with <\/span>E.U.C.\n Research Centre Ltd. (EUC-RC)<\/span><\/b>\n the Knowledge Intensive Organization. EUC RC will performed experiments\n so as to create an appropriate dataset that the HO needs for the \ndevelopment of the AI-based software for cancer diagnosis. The dataset \nwill include optical\/fluorescence microscopy images\n and single cell information. This information will correlate the \ninvasive properties of the cells with their morphological \ncharacteristics, including cell\u2019s shape and cytoskeleton characteristics\n (e.g., F-actin fibers content and orientation). The dataset\n will be used in a future step from the HO for both training the AI code\n and also testing it. The Innovation Voucher offers mutual benefits for \nboth the organizations. The research results from this project will be \nused not only for developing the software\n but also for future research proposals. Finally, this project will \nfurther promote the collaboration between the two organizations, create a\n new work position, help HO to be established in Cyprus Research and \nInnovation ecosystem and help the Knowledge Intensive\n Organization to be exposed to the needs of the industry. <\/span>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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References<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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[1] World Health Organization (2015), \u201cCancer\u201d, http:\/\/www.who.int\/mediacentre\/factsheets\/fs297\/en\/\u00a0
[2] World Health Organization (2015), \u201cCancer\u201d,\u00a0 Available from: http:\/\/www.who.int\/mediacentre\/factsheets\/fs297\/en\/\u00a0 <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

AIMorphologyDiagnosis INNOVOUCHER\/0722\/0029 Collection of morphological features of single cells for developing artificial intelligence methods for early cancer diagnosis  Funding Scheme: Restart Research 2016-2020 Programme: INNOVATION VOUCHERS Funding Scheme: Restart Research 2016-2020 Project Title: Collection of morphological features of single cells for developing artificial intelligence methods for early cancer diagnosis\u00a0 Acronym: AIMorphologyDiagnosis Duration:\u00a0 15\/12\/22-15\/5\/23 Budget:\u00a0 5.000,00\u20ac […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"no-sidebar","site-content-layout":"page-builder","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-691","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/pages\/691","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/comments?post=691"}],"version-history":[{"count":11,"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/pages\/691\/revisions"}],"predecessor-version":[{"id":703,"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/pages\/691\/revisions\/703"}],"wp:attachment":[{"href":"https:\/\/bionanotec.eu\/index.php\/wp-json\/wp\/v2\/media?parent=691"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}