{"id":3618,"date":"2026-03-06T13:04:31","date_gmt":"2026-03-06T13:04:31","guid":{"rendered":"https:\/\/biodatup.com\/?page_id=3618"},"modified":"2026-03-10T09:48:16","modified_gmt":"2026-03-10T09:48:16","slug":"__trashed","status":"publish","type":"page","link":"https:\/\/biodatup.com\/?page_id=3618","title":{"rendered":"PINT-EC"},"content":{"rendered":"

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\n\t\tPINT-EC\n\t<\/h2>
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\n\t\tArtificial Intelligence to transform clinical trials\n\t<\/p><\/div>\n\t

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PINT-EC (Intelligent and Modular Platform for the Comprehensive Management of Clinical Trials) is an R&D project led by BIODATUP<\/strong><\/span>, developed in collaboration with BioBizkaia \u2013 Health Research Institute and co-funded by HAZITEK 2025.<\/span><\/strong>
\nThe project constitutes a key phase in BIODATUP’s roadmap, laying the foundations for an intelligent platform to optimize the management of clinical trials through Artificial Intelligence, with a modular, scalable, and evolutionary approach.<\/p>\n

PINT-EC is part of the Basque Health Cluster (BHC) strategy and contributes to the strengthening of the health innovation ecosystem in the Basque Country.<\/span><\/strong><\/p>\n

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\n\t\tIntelligence at the service of health\n\t<\/h2>
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\n\t\tInvisible and powerful technology that works so that researchers focus on what is important: curing.\n\t<\/p><\/div>[\/vc_column][\/vc_row][vc_row gap=\u00bb15″ equal_height=\u00bbyes\u00bb css=\u00bb.vc_custom_1773132866825{margin-bottom: 30px !important;padding-top: 20px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;}\u00bb][vc_column css_animation=\u00bbfadeIn\u00bb width=\u00bb1\/3″ css=\u00bb.vc_custom_1773132819502{background-color: rgba(0,98,191,0.06) !important;*background-color: rgb(0,98,191) !important;border-radius: 30px !important;}\u00bb el_class=\u00bbcard-ajustada\u00bb]\n\t

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\n\t\t\n\t\t\tMedical AI<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tAdvanced algorithms that analyze medical records, notes, and laboratory results with surgical precision.<\/span>\n\t<\/p><\/div>\n\t

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\n\t\t\n\t\t\tClinical LLMs<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tLanguage models trained to understand medical jargon, summarize findings, and support complex decisions.<\/span>\n\t<\/p><\/div>\n\t

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\n\t\t\n\t\t\tCloud & MLOps<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tSecure, scalable, and auditable AWS infrastructure. Total data traceability from source to analysis.<\/span>\n\t<\/p><\/div>\n\t

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\n\t\tObjectives and benefits\n\t<\/h2>
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\n\t\tReal impact on the healthcare ecosystem.\n\t<\/p><\/div>[\/vc_column][\/vc_row][vc_row gap=\u00bb35″ css=\u00bb.vc_custom_1773047139765{margin-right: 40px !important;margin-left: 40px !important;}\u00bb][vc_column css_animation=\u00bbfadeInLeft\u00bb width=\u00bb1\/2″ css=\u00bb.vc_custom_1773063804605{margin-top: 0px !important;margin-right: 0px !important;margin-bottom: 0px !important;margin-left: 0px !important;background-color: rgba(234,234,234,0.5) !important;*background-color: rgb(234,234,234) !important;border-radius: 20px !important;}\u00bb offset=\u00bbvc_col-xs-12″ el_class=\u00bbcard-ajustada\u00bb]

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\n\t\t\n\t\t\tTotal Digitalization<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tAutomation of all phases of the clinical trial.<\/span>\n\t<\/p><\/div>[\/vc_column][vc_column css_animation=\u00bbfadeInRight\u00bb width=\u00bb1\/2″ css=\u00bb.vc_custom_1773063816813{background-color: rgba(234,234,234,0.5) !important;*background-color: rgb(234,234,234) !important;border-radius: 20px !important;}\u00bb el_class=\u00bbcard-ajustada\u00bb]

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\n\t\t\n\t\t\tReal-Time Analysis<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tImmediate processing of complex clinical information.<\/span>\n\t<\/p><\/div>[\/vc_column][\/vc_row][vc_row][vc_column width=\u00bb1\/2″]\n\t

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\n\t\t\n\t\t\tPatient Safety<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tContinuous monitoring and preventive alerts.<\/span>\n\t<\/p><\/div>[\/vc_column][vc_column css_animation=\u00bbfadeInRight\u00bb width=\u00bb1\/2″ css=\u00bb.vc_custom_1773063834451{background-color: rgba(234,234,234,0.5) !important;*background-color: rgb(234,234,234) !important;border-radius: 20px !important;}\u00bb el_class=\u00bbcard-ajustada\u00bb]\n\t

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\n\t\t\n\t\t\tCost Reduction<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tResource optimization between 20% and 40%.<\/span>\n\t<\/p><\/div>[\/vc_column][\/vc_row][vc_row][vc_column]\n\t

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\n\t\t\n\t\t\tCollaboration<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tFacilitates multicenter studies and data sharing.<\/span>\n\t<\/p><\/div>[\/vc_column][vc_column css_animation=\u00bbfadeInRight\u00bb width=\u00bb1\/2″ css=\u00bb.vc_custom_1773063846544{background-color: rgba(234,234,234,0.5) !important;*background-color: rgb(234,234,234) !important;border-radius: 20px !important;}\u00bb el_class=\u00bbcard-ajustada\u00bb]

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\n\t\t\n\t\t\tTraceable Data<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tGuaranteed GDPR and GCP regulatory compliance.<\/span>\n\t<\/p><\/div>[\/vc_column][\/vc_row][vc_row][vc_column]

\n\t\tScientific-Technological Alliance\n\t<\/h2>
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\n\t\t\n\t\t\tBIODATUP<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tLEAD ENTITY<\/span>\n\t<\/p><\/div>[vc_column_text css=\u00bb.vc_custom_1773131725552{padding-top: 30px !important;padding-bottom: 20px !important;padding-left: 5px !important;}\u00bb]Specialists in AI, data analysis, and digital solutions for health. We lead the technological development and the intelligent architecture of the platform.[\/vc_column_text]<\/p>\n\n\t\t<\/div>\n\t<\/div>[\/vc_column][vc_column css_animation=\u00bbbounceInUp\u00bb width=\u00bb1\/2″ css=\u00bb.vc_custom_1773065201036{background-color: rgba(0,98,191,0.06) !important;*background-color: rgb(0,98,191) !important;border-radius: 35px !important;}\u00bb el_class=\u00bbcard-ajustada\u00bb]

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\n\t\t\n\t\t\tBIOBIZKAIA<\/span>\n\t\t<\/a>\n\t<\/h3>

\n\t\tCLINICAL COLLABORATOR<\/span>\n\t<\/p><\/div>[vc_column_text css=\u00bb.vc_custom_1773131779278{padding-top: 30px !important;padding-bottom: 20px !important;padding-left: 15px !important;}\u00bb]<\/p>\n

Reference health research institute. Provides vital clinical knowledge, experimental validation, and access to real cases.<\/p>\n

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Estrategia alineada con Basque Health Cluster (BHC)<\/strong> y RIS3 Euskadi.<\/strong><\/p>\n

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\n \n <\/div>\n <\/div>\n <\/div>\n <\/div>[vc_column_text css=\u00bb.vc_custom_1773058243580{margin-top: -10px !important;}\u00bb]<\/p>\n

\u201cProyecto cofinanciado por el Programa HAZITEK COMPETITIVOS 2025 del Gobierno Vasco \u2013 SPRI.\u201d<\/p>\n

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<\/div>[\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text css_animation=\u00bbfadeIn\u00bb] PINT-EC (Intelligent and Modular Platform for the Comprehensive Management of Clinical Trials) is an R&D project led by BIODATUP, developed in collaboration with BioBizkaia \u2013 Health Research Institute and co-funded by HAZITEK 2025. The project constitutes a key phase in BIODATUP’s roadmap, laying the foundations for an intelligent platform to optimize the management of clinical trials through Artificial Intelligence, with a modular, scalable, and evolutionary approach. PINT-EC is part of the Basque Health Cluster (BHC) strategy and contributes to the strengthening of the health innovation ecosystem in the Basque Country.  [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][\/vc_column][\/vc_row][vc_row gap=\u00bb15″ equal_height=\u00bbyes\u00bb css=\u00bb.vc_custom_1773132866825{margin-bottom: 30px !important;padding-top: 20px !important;padding-right: 20px !important;padding-bottom: 20px !important;padding-left: 20px !important;}\u00bb][vc_column css_animation=\u00bbfadeIn\u00bb width=\u00bb1\/3″…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3618","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/biodatup.com\/index.php?rest_route=\/wp\/v2\/pages\/3618","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/biodatup.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/biodatup.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/biodatup.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/biodatup.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=3618"}],"version-history":[{"count":30,"href":"https:\/\/biodatup.com\/index.php?rest_route=\/wp\/v2\/pages\/3618\/revisions"}],"predecessor-version":[{"id":3659,"href":"https:\/\/biodatup.com\/index.php?rest_route=\/wp\/v2\/pages\/3618\/revisions\/3659"}],"wp:attachment":[{"href":"https:\/\/biodatup.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3618"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}