{"id":674,"date":"2021-04-21T22:47:29","date_gmt":"2021-04-21T20:47:29","guid":{"rendered":"https:\/\/www.healthtriage.ai\/chi-siamo\/"},"modified":"2026-06-26T11:27:19","modified_gmt":"2026-06-26T09:27:19","slug":"about-us","status":"publish","type":"page","link":"https:\/\/healthtriage.ai\/en\/about-us\/","title":{"rendered":"ABOUT US"},"content":{"rendered":"

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SOMETHING ABOUT US<\/h1><\/div>
Health Triage is a start-up born in Turin with the ambition to innovate the sector of technologies for cancer prevention, exploiting the extraordinary potential of Artificial Intelligence (AI).<\/div><\/div>[vc_empty_space][vc_column_text css=””]<\/p>\n

Health Triage is an Italian deep tech company that develops artificial intelligence solutions to make cancer prevention more timely, accessible and precise. Founded in 2020<\/strong>, it works to support physicians and healthcare facilities with reliable technologies capable of improving clinical decisions at the most critical moments. Through proprietary deep learning algorithms<\/strong> and an interdisciplinary approach<\/strong> that integrates clinical, technical and scientific expertise, Health Triage designs devices capable of automating part of the diagnostic process, reducing workloads and improving the quality of diagnoses.<\/p>\n

The strength of Health Triage lies in its authoritative and global governance. The company is part of the Fin Posillipo S.p.A.<\/strong> group, an industrial organisation that oversees the entire clinical research supply chain with a widespread presence across five continents, over 800 employees and a turnover of 800 million euros in the healthcare sector. Further reinforcing this profile of excellence is the participation of Fondazione ENEA Tech & Biomedical<\/strong>, which certifies its strategic value in the national technology transfer landscape.<\/p>\n

Health Triage is currently focused on two main projects:<\/p>\n

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  • BreastNegative<\/strong>, a medical device that automatically identifies negative mammograms in screening programmes;<\/li>\n
  • Prostate V-Bio<\/strong>, a non-invasive MRI-based system capable of classifying prostate cancer according to the Gleason Grade.<\/li>\n<\/ul>\n

    Ethics, scientific rigour and clinical validation are the foundation of every choice we make.<\/p>\n

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    SOMETHING ABOUT US<\/h1><\/div>
    Health Triage is a start-up born in Turin with the ambition to innovate the sector of technologies for cancer prevention, exploiting the extraordinary potential of Artificial Intelligence (AI).<\/div><\/div>[vc_empty_space][vc_column_text]It wants to position itself at the epicenter of the data revolution in the medical sector. Today an impressive amount of data is generated, in the order of zettabytes (1 zettabyte corresponds to a trillion bytes), relating to diagnoses, therapeutic paths, drugs, medical devices, digital images, results of laboratory analyzes and much more. Research activities focus on the development of new screening protocols and innovative diagnosis processes, exploiting Deep Learning to facilitate the acquisition of knowledge by new technologies through data, algorithms and artificial neural networks.<\/p>\n

    The use of digital Health Triage systems in healthcare allows you to completely innovate diagnostic processes with the aim of supporting medical staff and healthcare facilities with technological tools, capable of increasing quality, precision medicine and efficiency. Current research activities mainly concern the development of new automatic diagnosis technologies for oncology with a particular focus on the prevention of breast and prostate cancer.<\/p>\n

    Health Triage intends to accelerate innovation through the use of new AI models that need a lot of data and, for this reason, is promoting the creation of one of the first Data Lakes for the collection of health data, anonymized and pseudonymized, to make them available, through interconnected and integrated systems, facilitating the continuous improvement of the capabilities of their technologies.[\/vc_column_text][vc_single_image image=”273″ img_size=”full” alignment=”right” css=”.vc_custom_1619382197267{margin-top: -20px !important;margin-right: -20px !important;padding-right: 0px !important;}”][\/vc_column][\/vc_row][vc_row bg_type=”image” parallax_style=”vcpb-default” bg_image_new=”id^166|url^https:\/\/healthtriage.ai\/wp-content\/uploads\/2021\/04\/bg-about-us.jpg|caption^null|alt^null|title^bg-about-us|description^null” bg_image_repeat=”no-repeat” bg_override=”ex-full” css=”.vc_custom_1626296032634{padding-top: 80px !important;padding-bottom: 350px !important;}” el_id=”societa-en”][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″ css=”.vc_custom_1623011121517{padding-top: 50px !important;padding-right: 50px !important;padding-bottom: 50px !important;padding-left: 50px !important;background-color: rgba(255,255,255,0.85) !important;*background-color: rgb(255,255,255) !important;}”][vc_empty_space][vc_column_text css=””]<\/p>\n

    OUR MISSION<\/strong><\/h3>\n

    We develop technologies for cancer prevention that is timely, precise and accessible to all. Because diagnosis must be early but highly accurate \u2014 and it can change the course of a life.<\/p>\n

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    OUR VISION<\/strong><\/h3>\n

    We want to make access to care pathways a reality for everyone, with the same quality, anywhere in the world.<\/p>\n

    For this reason, we imagine and design technologies for oncological diagnosis, based on Artificial Intelligence models: solutions capable of supporting physicians in the most complex clinical decisions.<\/p>\n

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    OUR METHOD<\/strong><\/h3>\n

    Scientific, validated, interdisciplinary. We integrate clinical, technical, research and design expertise. We contribute to building a more effective healthcare ecosystem, at the service of people. Ethics and rigour are non-negotiable.<\/p>\n

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    TEAM<\/h1><\/div><\/div>[vc_empty_space height=”42px”][vc_row_inner gap=”15″ css=”.vc_custom_1626269428084{padding-right: 50px !important;padding-left: 50px !important;}”][vc_column_inner width=”1\/5″][vc_single_image image=”1008″ img_size=”300×311″ alignment=”center” style=”vc_box_circle_2″ css=””]
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    Daniele Regge<\/h3><\/div><\/div>[vc_column_text css=””]<\/p>\n

    CHIEF MEDICAL OFFICER<\/p>\n

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