{"id":75589,"date":"2025-07-31T11:06:53","date_gmt":"2025-07-31T09:06:53","guid":{"rendered":"https:\/\/www.embl.org\/news\/?p=75589"},"modified":"2025-11-11T12:56:30","modified_gmt":"2025-11-11T11:56:30","slug":"ai-in-the-life-sciences-philanthropy-fuels-embls-strategy","status":"publish","type":"post","link":"https:\/\/www.embl.org\/news\/connections\/ai-in-the-life-sciences-philanthropy-fuels-embls-strategy\/","title":{"rendered":"AI in the life sciences: philanthropy fuels EMBL\u2019s strategy"},"content":{"rendered":"\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n      <h3 class=\"vf-card__heading\">\n      Summary    <\/h3>\n                <p class=\"vf-card__text\"><ul>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">EMBL\u2019s AI Strategy aims to fundamentally transform life sciences research by comprehensively integrating artificial intelligence (AI).<\/span><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">AI applications in life sciences include large-scale data analysis, protein prediction, biomarker discovery, image processing, and drug development.\u00a0<\/span><\/li>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Funding from the German Hector Foundation will support key initiatives at EMBL, such as recruiting interdisciplinary talent, expanding AI infrastructure, and advancing training programmes.<\/span><\/li><\/ul><\/p>\n      <\/div>\n<\/article>\n\n\n\n\n<p>The European Molecular Biology Laboratory (EMBL) has long been a pioneer in developing and applying <a href=\"https:\/\/www.embl.org\/topics\/ai-at-embl\/\">Artificial Intelligence (AI)<\/a> to advance genomics, structural biology, and drug discovery. One of the standout examples is <a href=\"https:\/\/www.embl.org\/news\/science\/alphafold-using-open-data-and-ai-to-discover-the-3d-protein-universe\/\">AlphaFold<\/a> \u2013 developed by Google DeepMind and trained on data provided by EMBL-EBI and collaborators \u2013 which has revolutionised protein structure prediction. With EMBL-EBI\u2019s support, AlphaFold2 predictions were made freely available to researchers worldwide.&nbsp;<\/p>\n\n\n\n<p>Alongside its major contributions to AI in structural biology, EMBL is also leading the way in applying AI to all types of biological data analysis and scientific research, including new methods for cellular imaging, analysing patterns in health records, and combining different types of biological data like genomics and proteomics. <a href=\"https:\/\/www.embl.org\/editorhub\/wp-content\/uploads\/2025\/02\/EMBL_AI-Strategy_Feb2025_Accessible.pdf\">EMBL\u2019s comprehensive AI strategy<\/a> now reflects and builds on its proven track record of AI-driven innovation to present a broader, forward-looking vision: to harness the full potential of artificial intelligence for transformative scientific discovery.<\/p>\n\n\n\n<blockquote class=\"vf-blockquote | vf-u-margin__bottom--600 vf-u-margin__top--600\">\n  <div>\n    <div>\n      <span style=\"font-weight: 200;\">The AlphaFold Database is an extraordinary effort in making biological data open on such a massive scale. This extremely valuable resource for the research community would not have been possible without the deep collaboration with the world-class team at EMBL.    <\/span><\/div>\n    \n          <footer class=\"vf-u-margin__top--600\">\n      \n      <div class=\"vf-blockquote_author\">\n        Demis Hassabis, Co-Founder &#038; CEO of Google DeepMind and Nobel Laureate      <\/div>\n\n      \n      <div class=\"vf-blockquote_author__details\"><\/div>\n    <\/footer>\n      <\/div>\n<\/blockquote>\n\n\n\n<p>A major boost to this ambition comes from a visionary long-term donation by the German Hector Foundation. This funding will enable the creation of dedicated AI research groups, data engineering teams, and state-of-the-art infrastructure, along with fellowship and skills development programmes that bridge AI and life sciences. These initiatives aim to attract top talent, foster collaboration across academia and industry, and embed AI firmly in the delivery of research infrastructures.<\/p>\n\n\n\n<p>\u201cThe investment by the Hector Foundation is a testament to the critical role AI will play in shaping the future of life sciences and the role EMBL can play in this transformation,\u201d said <a href=\"https:\/\/www.embl.org\/people\/person\/oliver-stegle\">Oliver Stegle<\/a>, Acting Head of AI at EMBL. \u201cAI is already a game-changer for exploring huge amounts of biological data at incredible speed. But real transformation doesn\u2019t happen in isolation \u2013 it takes strong partnerships, teamwork across disciplines, and working together across borders as a community.\u201d<\/p>\n\n\n\n<blockquote class=\"vf-blockquote | vf-u-margin__bottom--600 vf-u-margin__top--600\">\n  <div>\n    <div>\n      <span style=\"font-weight: 200;\">This donation builds on two of EMBL\u2019s greatest assets: the excellence and recognition of its scientists, and the steadfast commitment of our member states. Support like this is deeply encouraging \u2013 it strengthens our resolve to continue exploring new paths in science and collaboration.    <\/span><\/div>\n    \n          <footer class=\"vf-u-margin__top--600\">\n      \n      <div class=\"vf-blockquote_author\">\n        Peter Becker, Chair of the EMBL Council and Chair of Biomedical Centre Munich, LMU      <\/div>\n\n      \n      <div class=\"vf-blockquote_author__details\"><\/div>\n    <\/footer>\n      <\/div>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>AI-powered science for the future<\/strong><\/h2>\n\n\n\n<p>EMBL\u2019s vision to transform multiple areas of biological and biomedical research is grounded in EMBL\u2019s long-standing expertise in technology development, open data, and its leadership in building curated biological data resources used worldwide to train AI models.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>In genomics and proteomics, machine learning models can help <a href=\"https:\/\/www.ebi.ac.uk\/about\/news\/perspectives\/leveraging-long-read-sequencing-for-cancer-genomics\/\">decode complex genetic sequences<\/a>, <a href=\"https:\/\/www.embl.org\/news\/science\/puzzling-out-the-structure-of-a-molecular-giant\/\">predict protein structures,<\/a> and <a href=\"https:\/\/www.embl.org\/news\/science\/charting-a-multi-omic-universe\/\">identify biomarkers for diseases<\/a>.&nbsp;<\/li>\n\n\n\n<li>AI-guided imaging and microscopy<a href=\"https:\/\/www.embl.org\/news\/science-technology\/follow-the-cellular-road\/\"> can enhance cellular and molecular observations<\/a>, further reducing manual approaches while improving accuracy in large-scale experiments.<\/li>\n\n\n\n<li>In drug discovery, expanded molecular simulations powered by AI can accelerate the <a href=\"https:\/\/www.embl.org\/news\/science\/machine-learning-to-identify-and-prioritise-drug-targets\/\">identification of potential drug candidates<\/a>, cutting research timelines significantly.<\/li>\n\n\n\n<li>Additionally, AI-based data management systems will continue to streamline the <a href=\"https:\/\/www.embl.org\/news\/science\/ai-annotations-increase-patent-data-in-surechembl\/\">processing of vast biological datasets<\/a>, making them more accessible and actionable for researchers worldwide.<strong>&nbsp;<\/strong><\/li>\n<\/ul>\n\n\n\n<p>\u201cArtificial intelligence is transforming how we do biology,\u201d said Anna Kreshuk, Senior Scientist and expert in machine learning at EMBL. \u201cThis initiative will reshape the questions we ask, how we answer them, and how we connect theory with experiment.\u201d<\/p>\n\n\n\n<blockquote class=\"vf-blockquote | vf-u-margin__bottom--600 vf-u-margin__top--600\">\n  <div>\n    <div>\n      <span style=\"font-weight: 200;\">EMBL has been leading the development and use of artificial intelligence to advance life sciences in areas as diverse as protein structure prediction and microscopy image analysis. Through its dedication to public biological data archives, EMBL also provides the gold standard of curated datasets for machine learning in biology, making it a key enabler of AI research in the life sciences.    <\/span><\/div>\n    \n          <footer class=\"vf-u-margin__top--600\">\n      \n      <div class=\"vf-blockquote_author\">\n        Virginie Uhlmann, Director of the BioVisionCenter at the University of Zurich      <\/div>\n\n      \n      <div class=\"vf-blockquote_author__details\"><\/div>\n    <\/footer>\n      <\/div>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Interdisciplinary alliances: A vision for a European AI ecosystem<\/strong><\/h2>\n\n\n\n<p>To fully realise the transformative potential of artificial intelligence, EMBL is scaling up its AI infrastructure and expanding partnerships with academic, industrial, and regulatory stakeholders across Europe.&nbsp;<\/p>\n\n\n\n<blockquote class=\"vf-blockquote | vf-u-margin__bottom--600 vf-u-margin__top--600\">\n  <div>\n    <div>\n      <span style=\"font-weight: 200;\">By building advanced AI-based approaches to science and fostering collaboration across Europe, EMBL is paving the way for new discoveries. We look forward to deepening the partnership between EMBL and ELLIS and driving interdisciplinary research.    <\/span><\/div>\n    \n          <footer class=\"vf-u-margin__top--600\">\n      \n      <div class=\"vf-blockquote_author\">\n        Serge Belongie, President Elect, European Laboratory for Learning and Intelligent Systems (ELLIS)      <\/div>\n\n      \n      <div class=\"vf-blockquote_author__details\"><\/div>\n    <\/footer>\n      <\/div>\n<\/blockquote>\n\n\n\n<p>By attracting leading experts from around the globe and providing access to world-class facilities, EMBL fosters a dynamic scientific environment \u2013 one that ensures that the benefits of AI-driven discovery are broadly accessible and continue to propel interdisciplinary research forward. Recognising that cutting-edge tools are only as powerful as the people who wield them, EMBL places strong emphasis on training the next generation of interdisciplinary scientists in advanced computational research.<\/p>\n\n\n\n<blockquote class=\"vf-blockquote | vf-u-margin__bottom--600 vf-u-margin__top--600\">\n  <div>\n    <div>\n      <span style=\"font-weight: 200;\">EMBL is reshaping how we explore and interpret the complexity of life. Their commitment is crucial to nurturing a new generation of scientists who can bridge computational and experimental approaches.    <\/span><\/div>\n    \n          <footer class=\"vf-u-margin__top--600\">\n      \n      <div class=\"vf-blockquote_author\">\n        Caroline Uhler, Andrew (1956) and Erna Viterbi Professor of Engineering, MIT; Director, Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard      <\/div>\n\n      \n      <div class=\"vf-blockquote_author__details\"><\/div>\n    <\/footer>\n      <\/div>\n<\/blockquote>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Philanthropy with purpose: fueling EMBL\u2019s AI initiative<\/strong><\/h2>\n\n\n\n<p>EMBL\u2019s strategy integrates ethical standards, including privacy safeguards and reproducibility protocols to guide the responsible application of AI. These efforts reflect its broader commitment to shaping not just <em>what<\/em> computational life science can achieve, but <em>how<\/em> it should be applied for the benefit of science and society.<br \/><br \/>The Hector Foundation\u2019s visionary investment not only strengthens EMBL\u2019s capacity to lead in AI-based research approaches but also serves as a catalyst for attracting additional external funding and forging new partnerships across Europe. \u201cWe are at the beginning of a new scientific era in which artificial intelligence provides key impulses for gaining knowledge and driving innovation. With our long-term support, we aim to enable EMBL to further expand its leading role in AI-driven life science \u2013 for the benefit of research, medicine, and society as a whole,\u201d said Dr. h.c. Hans-Werner Hector, founder of the Hector Foundation.<\/p>\n\n\n\n<p>Through this support \u2013 combined with EMBL\u2019s scientific leadership and collaborative ethos \u2013 EMBL is setting a new global standard for AI-driven life science research and research infrastructures. By equipping scientists with advanced tools, interdisciplinary skills, and robust ethical frameworks, EMBL ensures that the benefits of AI are shared across borders and disciplines, accelerating discovery and shaping the future of biology.<\/p>\n\n\n\n<hr class=\"vf-divider\"\/>\n\n\n\n<h1 class=\"wp-block-heading\" id=\"Deutsch\"><strong>F\u00f6rderung f\u00fcr EMBLs KI-Initiative: Hector Stiftung unterst\u00fctzt Innovationen f\u00fcr die Zukunft der Forschung<\/strong><br \/><\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">Das EMBL erh\u00e4lt wegweisende philanthropische F\u00f6rderung von \u00fcber 40 Millionen Euro f\u00fcr seine Initiative, die Lebenswissenschaften durch die umfassende Integration K\u00fcnstlicher Intelligenz (KI) grundlegend zu transformieren &nbsp;\u2013 von der Molekularbiologie bis zur Medizinforschung<\/h2>\n\n\n\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n      <h3 class=\"vf-card__heading\">\n      Zusammenfassung    <\/h3>\n                <p class=\"vf-card__text\"><ul>\r\n \t<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Die KI-Initiative des EMBL zielt auf die Integration von KI in alle Forschungsbereiche der Lebenswissenschaften, um Forschung grundlegend zu transformieren und voranzutreiben.<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Das EMBL setzt bereits heute erfolgreich auf KI, unter anderem bei der Analyse gro\u00dfer biomedizinischer Datens\u00e4tze, der Vorhersage von Proteinstrukturen, der Identifikation von Biomarkern, der Verarbeitung von Mikroskopiebildern und der Wirkstoffentwicklung.\u00a0<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Eine transformative F\u00f6rderung durch die Hector Stiftung unterst\u00fctzt unter anderem den Ausbau der KI-Infrastruktur und erlaubt es dem EMBL, neue Talente im Fachbereich KI zu gewinnen und auszubilden.<\/span><\/li><\/span><\/li><\/span><\/li><\/ul><\/p>\n      <\/div>\n<\/article>\n\n\n\n\n<p>Das Europ\u00e4ische Laboratorium f\u00fcr Molekularbiologie (EMBL) ist seit Langem ein Vorreiter in der Entwicklung und Anwendung <a href=\"https:\/\/www.embl.org\/topics\/ai-at-embl\/\">K\u00fcnstlicher Intelligenz (KI)<\/a>, um Fortschritte zum Beispiel in der Genomforschung, der Strukturbiologie und der Wirkstoffentwicklung zu erzielen. Ein herausragendes Beispiel daf\u00fcr ist <a href=\"https:\/\/www.embl.org\/news\/science\/alphafold-using-open-data-and-ai-to-discover-the-3d-protein-universe\/\">AlphaFold<\/a> \u2013 entwickelt von Google DeepMind und trainiert mit Daten des EMBL-EBI und seiner Partner \u2013, das die Vorhersage von Proteinstrukturen revolutioniert hat. Mit Unterst\u00fctzung des EMBL-EBI wurden die Vorhersagen von AlphaFold 2 f\u00fcr Forschende weltweit frei zug\u00e4nglich gemacht.&nbsp;<\/p>\n\n\n\n<p>Die neue <a href=\"https:\/\/www.embl.org\/editorhub\/wp-content\/uploads\/2025\/02\/EMBL_AI-Strategy_Feb2025_Accessible.pdf\">KI-Initiative des EMBL<\/a> kn\u00fcpft nun an solche Erfolgsgeschichten KI-getriebener Innovation an und entwickelt daraus eine umfassendere, zukunftsgerichtete Vision: das volle Potenzial K\u00fcnstlicher Intelligenz f\u00fcr wissenschaftliche Forschung zu nutzen.<\/p>\n\n\n\n<p>Dank einer gro\u00dfz\u00fcgigen mehrj\u00e4hrigen F\u00f6rderung durch die Hector Stiftung kann das EMBL gemeinsam mit Partnern seine KI-Initiative in Forschung, Service und Ausbildung deutlich st\u00e4rken und als Hub f\u00fcr die Verbindung von KI und den Lebenswissenschaften fungieren.&nbsp;<\/p>\n\n\n\n<p>\u201eDie Investition der Hector Stiftung zeigt, wie wichtig die KI bei der Gestaltung der Zukunft der Lebenswissenschaften ist \u2013 und wie wichtig die Rolle ist, die das EMBL in diesem Wandel spielen kann\u201c, sagte Oliver Stegle, kommissarischer Leiter f\u00fcr KI am EMBL. \u201eKI ist schon jetzt ein echter Game-Changer, wenn es darum geht, riesige Mengen biologischer Daten mit unglaublicher Geschwindigkeit zu analysieren. Doch wirkliche Transformation geschieht nicht im Alleingang \u2013 sie erfordert starke Partnerschaften, interdisziplin\u00e4re Zusammenarbeit und gemeinsames Handeln \u00fcber L\u00e4ndergrenzen hinweg.\u201c<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>KI-gest\u00fctzte Wissenschaft f\u00fcr eine interdisziplin\u00e4re Forschungsgemeinschaft&nbsp;<\/strong><\/h2>\n\n\n\n<p>Geplant sind unter anderem die Gewinnung von KI-Talenten, die k\u00fcnftig Forschungs- und Datenengineering-Teams am EMBL leiten sollen. Gleichzeitig sorgen Schulungen, F\u00f6rderprogramme und Vernetzungsangebote daf\u00fcr, dass sich KI-Expertise und molekularbiologische Forschung enger verzahnen und Spitzen-Talente aus Wissenschaft und Industrie angezogen werden. So wird KI qualifiziert, verantwortungsvoll und effektiv eingesetzt \u2013 und die interdisziplin\u00e4re, datengetriebene Forschung in Deutschland und Europa gezielt vorangebracht.<\/p>\n\n\n\n<p>Die Mittel der Hector Stiftung erm\u00f6glichen zudem den erg\u00e4nzenden Aufbau hochmoderner KI-Forschungsinfrastruktur, darunter ein neues KI-Labor und neue Interaktionsfl\u00e4chen, um KI-Expertinnen und &#8211; Experten mit der Biologie zu verbinden. \u201eWir stehen am Beginn einer neuen wissenschaftlichen \u00c4ra, in der K\u00fcnstliche Intelligenz zentrale Impulse f\u00fcr Erkenntnisgewinn und Innovation liefert. Mit unserer langfristigen F\u00f6rderung m\u00f6chten wir dazu beitragen, dass das EMBL seine Vorreiterrolle in der KI-gest\u00fctzten Lebenswissenschaft weiter ausbauen kann \u2013 zum Nutzen der Forschung, der Medizin und der Gesellschaft insgesamt,\u201c sagte Dr. h.c. Hans-Werner Hector, Stifter der Hector Stiftung.<\/p>\n\n\n\n<p>Die Vision des EMBL, zahlreiche Bereiche der biologischen und biomedizinischen Forschung grundlegend zu ver\u00e4ndern, basiert auf der langj\u00e4hrigen Expertise der Organisation in der Technologieentwicklung, dem offenen Umgang mit Forschungsdaten sowie seiner f\u00fchrenden Rolle beim Aufbau kuratierter biologischer Datenressourcen, die weltweit zur Schulung von KI-Modellen genutzt werden:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>In der Genomik und Proteomik helfen KI-Modelle, <a href=\"https:\/\/www.ebi.ac.uk\/about\/news\/perspectives\/leveraging-long-read-sequencing-for-cancer-genomics\/\">genetische Codes zu entschl\u00fcsseln<\/a>, <a href=\"https:\/\/www.embl.org\/news\/science\/puzzling-out-the-structure-of-a-molecular-giant\/\">Proteinstrukturen vorherzusagen<\/a> und <a href=\"https:\/\/www.embl.org\/news\/science\/charting-a-multi-omic-universe\/\">Biomarker zu identifizieren<\/a>.<\/li>\n\n\n\n<li>In der Mikroskopie und Bildgebung kann KI die<a href=\"https:\/\/www.embl.org\/news\/science-technology\/follow-the-cellular-road\/\"> Aufl\u00f6sung und Automatisierung gro\u00dfangelegter Experimente verbessern<\/a>.<\/li>\n\n\n\n<li>In der Medikamentenentwicklung hilft KI, die Simulation und <a href=\"https:\/\/www.embl.org\/news\/science\/machine-learning-to-identify-and-prioritise-drug-targets\/\">Bewertung potenzieller Wirkstoffe<\/a> zu beschleunigen.<\/li>\n\n\n\n<li>In der Datenverarbeitung sorgt KI f\u00fcr <a href=\"https:\/\/www.embl.org\/news\/science\/ai-annotations-increase-patent-data-in-surechembl\/\">effizienteres Datenmanagement<\/a> bei exponentiell wachsenden biologischen Datens\u00e4tzen.<\/li>\n<\/ul>\n\n\n\n<p>\u201eK\u00fcnstliche Intelligenz transformiert grundlegend, wie wir Biologie betreiben\u201c, sagt Anna Kreshuk, Gruppenleiterin und Expertin f\u00fcr Maschinelles Lernen am EMBL. \u201eDiese Initiative ver\u00e4ndert, welche Fragen wir stellen, wie wir sie beantworten und wie wir Theorie und Experiment miteinander verbinden.\u201c<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Strategischer Impuls mit europ\u00e4ischer Strahlkraft f\u00fcr Deutschland und die Region<\/strong><\/h2>\n\n\n\n<p>Mit dem Ziel, zu einem europ\u00e4ischen Zentrum f\u00fcr KI in den Lebenswissenschaften zu wachsen, st\u00e4rken das EMBL und seine Partner die technologische Zukunft Deutschlands im globalen Wettbewerb um Zukunftstechnologien. Gleichzeitig schafft das EMBL hochqualifizierte Arbeitspl\u00e4tze, zieht internationale Talente an und f\u00f6rdert den Wissenstransfer in Schl\u00fcsselbranchen wie Biotechnologie, Gesundheitsforschung und Datenwissenschaft.<\/p>\n\n\n\n<p>F\u00fcr die Metropolregion Rhein-Neckar bedeutet die Investition einen direkten Innovationsschub: Die geplanten KI-Labore und interdisziplin\u00e4ren Programme k\u00f6nnen sich noch enger mit regionalen Partnern aus Wissenschaft und Industrie vernetzen, um KI-getriebene Forschung in der Region f\u00fcr Europa und die Welt sichtbar zu machen.&nbsp;<\/p>\n\n\n\n<p>Die F\u00f6rderung durch die Hector Stiftung bildet dabei nicht nur einen zentralen Impuls, diesen Strukturwandel aktiv zu gestalten und den Forschungsstandort nachhaltig zu st\u00e4rken. Sie wirkt auch als starker Hebel, um weitere externe Finanzierungen und Partnerschaften in ganz Europa anzuziehen.<\/p>\n\n\n\n<hr class=\"vf-divider\"\/>\n\n\n\n<h1 class=\"wp-block-heading\" id=\"Italian\">AI nelle scienze della vita: una donazione filantropica sostiene la strategia dell&#8217;EMBL<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>L&#8217;EMBL riceve oltre 40 milioni di euro di finanziamenti filantropici per la sua iniziativa volta all\u2019integrazione dell\u2019intelligenza artificiale in tutte le aree di ricerca, dalla biologia molecolare alla ricerca medica.<\/strong><\/h2>\n\n\n\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n      <h3 class=\"vf-card__heading\">\n      Sintesi    <\/h3>\n                <p class=\"vf-card__text\"><ul>\r\n \t<li>La \u2018strategia AI\u2019 dell&#8217;EMBL mira a trasformare radicalmente la ricerca sulle scienze della vita integrando l&#8217;intelligenza artificiale (AI) in ogni suo ambito.<\/li>\r\n \t<li>Le applicazioni dell&#8217;AI nelle scienze della vita comprendono l&#8217;analisi dei dati su larga scala, la previsione della struttura delle proteine, la scoperta di marcatori biologici, l&#8217;elaborazione delle immagini e lo sviluppo di farmaci.<\/li>\r\n \t<li>Il finanziamento della Fondazione tedesca Hector sosterr\u00e0 le iniziative chiave dell&#8217;EMBL, come il reclutamento di talenti interdisciplinari, l&#8217;espansione dell&#8217;infrastruttura dedicata alla AI e l&#8217;avanzamento dei programmi di formazione.<\/li>\r\n<\/ul><\/p>\n      <\/div>\n<\/article>\n\n\n\n\n<p><br \/>Il Laboratorio europeo di biologia molecolare (EMBL) \u00e8 da tempo pioniere nello sviluppo e nell&#8217;applicazione <a href=\"https:\/\/www.embl.org\/topics\/ai-at-embl\/\">dell&#8217;intelligenza artificiale (AI)<\/a> per far progredire la genomica, la biologia strutturale e la scoperta di farmaci. Uno degli esempi pi\u00f9 significativi \u00e8 <a href=\"https:\/\/www.embl.org\/news\/science\/alphafold-using-open-data-and-ai-to-discover-the-3d-protein-universe\/\">AlphaFold<\/a> &#8211; sviluppato da Google DeepMind e addestrato sui dati forniti dall&#8217;EMBL-EBI e dai suoi collaboratori &#8211; che ha rivoluzionato la biologia strutturale per l\u2019elevata affidabilit\u00e0 nella previsione della struttura delle proteine. Con il supporto dell&#8217;EMBL-EBI, le previsioni di AlphaFold2 sono state rese liberamente disponibili ai ricercatori di tutto il mondo.<\/p>\n\n\n\n<p>Oltre ai suoi importanti contributi all&#8217;AI nella biologia strutturale, l&#8217;EMBL \u00e8 anche all&#8217;avanguardia nell&#8217;applicazione dell&#8217;AI a tutti i tipi di analisi dei dati biologici e alla ricerca scientifica &#8211; compresi i nuovi metodi per l&#8217;imaging cellulare, l&#8217;analisi dei modelli nelle cartelle cliniche e la combinazione di diversi tipi di dati biologici come la genomica e la proteomica.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.embl.org\/editorhub\/wp-content\/uploads\/2025\/02\/EMBL_AI-Strategy_Feb2025_Accessible.pdf\">La strategia globale dell&#8217;EMBL sull&#8217;intelligenza artificiale<\/a> riflette e si basa sulla sua comprovata esperienza di innovazione guidata dall&#8217;intelligenza artificiale per presentare una visione pi\u00f9 ampia e lungimirante: sfruttare tutto il potenziale dell&#8217;intelligenza artificiale per una ricerca scientifica trasformativa.<\/p>\n\n\n\n<p>Un significativo impulso a questa ambizione viene da una visionaria donazione a lungo termine da parte della Fondazione tedesca Hector. Questo finanziamento consentir\u00e0 la creazione di gruppi di ricerca dedicati all&#8217;AI, di team di ingegneria dei dati e di infrastrutture all&#8217;avanguardia, oltre a programmi di borse di studio e di sviluppo delle competenze che integrano l&#8217;AI nelle scienze della vita. Queste iniziative mirano ad attrarre i migliori talenti, a promuovere la collaborazione tra universit\u00e0 e industria e a integrare saldamente l&#8217;AI nelle infrastrutture di ricerca.<\/p>\n\n\n\n<p>\u201cL&#8217;investimento della Hector Foundation testimonia il ruolo cruciale che l&#8217;AI svolger\u00e0 nel plasmare il futuro delle scienze della vita e il ruolo che l&#8217;EMBL pu\u00f2 svolgere in questa trasformazione\u201d, ha dichiarato <a href=\"https:\/\/www.embl.org\/people\/person\/oliver-stegle\">Oliver Stegle<\/a>, a capo del dipartimento AI dell&#8217;EMBL. &#8220;L&#8217;AI sta gi\u00e0 rivoluzionando il campo delle scienze della vita, consentendo di analizzare enormi quantit\u00e0 di dati biologici a una velocit\u00e0 incredibile. Ma la vera trasformazione non avviene in modo isolato: occorrono partnership forti, lavoro di squadra tra le discipline e collaborazione a livello globale&#8221;.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">La scienza alimentata dall&#8217;intelligenza artificiale<\/h2>\n\n\n\n<p>La visione dell&#8217;EMBL di trasformare diverse aree della ricerca biologica e biomedica si basa su una lunga esperienza nello sviluppo tecnologico, sugli Open Data e sulla leadership nella creazione di risorse di dati biologici utilizzati in tutto il mondo per addestrare i modelli di AI.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Nella genomica e nella proteomica, i modelli di apprendimento automatico possono aiutare a <a href=\"https:\/\/www.ebi.ac.uk\/about\/news\/perspectives\/leveraging-long-read-sequencing-for-cancer-genomics\/\">decodificare le sequenze genetiche complesse, a prevedere le strutture delle proteine e a identificare i marcatori biologici delle malattie<\/a>.<\/li>\n\n\n\n<li>L&#8217;imaging e la microscopia guidati dall&#8217;intelligenza artificiale possono <a href=\"https:\/\/www.embl.org\/news\/science-technology\/follow-the-cellular-road\/\">migliorare le osservazioni cellulari e molecolari<\/a>, riducendo ulteriormente gli approcci manuali e migliorando l&#8217;accuratezza degli esperimenti su larga scala.<\/li>\n\n\n\n<li>Nella scoperta di farmaci, le simulazioni molecolari ampliate grazie all&#8217;AI possono accelerare <a href=\"https:\/\/www.embl.org\/news\/science\/machine-learning-to-identify-and-prioritise-drug-targets\/\">l&#8217;identificazione di potenziali candidati farmaci,<\/a> riducendo in modo significativo i tempi di ricerca.<\/li>\n\n\n\n<li>Inoltre, i sistemi di gestione dei dati basati sull&#8217;intelligenza artificiale continueranno a semplificare <a href=\"https:\/\/www.embl.org\/news\/science\/ai-annotations-increase-patent-data-in-surechembl\/\">l&#8217;elaborazione di un\u2019ampia gamma di dati biologici<\/a>, rendendoli pi\u00f9 accessibili e fruibili per i ricercatori di tutto il mondo.<\/li>\n<\/ul>\n\n\n\n<p>\u201cL&#8217;intelligenza artificiale sta trasformando il nostro modo di fare biologia\u201d, ha dichiarato Anna Kreshuk, scienziata ed esperta di apprendimento automatico presso l&#8217;EMBL. \u201cQuesta iniziativa rimodeller\u00e0 le domande che poniamo, il modo in cui rispondiamo e il modo in cui colleghiamo la teoria con l&#8217;esperimento\u201d.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Alleanze interdisciplinari: una visione per un ecosistema europeo dell&#8217;AI<\/strong><\/h2>\n\n\n\n<p>Per realizzare appieno il potenziale trasformativo dell&#8217;intelligenza artificiale, l&#8217;EMBL sta potenziando la sua infrastruttura di AI e ampliando le partnership con il mondo accademico, industriale e regolamentativo in tutta Europa.<\/p>\n\n\n\n<p>Attirando esperti di spicco da tutto il mondo e garantendo l&#8217;accesso ad infrastrutture di livello avanzato, l&#8217;EMBL promuove un ambiente scientifico dinamico, mettendo a disposizione della comunit\u00e0 scientifica globale i vantaggi delle scoperte guidate dall&#8217;intelligenza artificiale. L\u2019EMBL pone inoltre una forte enfasi sulla formazione della prossima generazione di scienziati interdisciplinari nella ricerca computazionale avanzata, riconoscendo che gli strumenti all&#8217;avanguardia sono tanto potenti quanto le persone che li utilizzano.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Filantropia con uno scopo: alimentare l&#8217;iniziativa dell&#8217;EMBL sull&#8217;AI<\/strong><\/h2>\n\n\n\n<p>La strategia dell&#8217;EMBL integra standard etici, tra cui salvaguardia della privacy e protocolli di riproducibilit\u00e0 per guidare l&#8217;applicazione responsabile dell&#8217;AI. Questi sforzi riflettono un impegno pi\u00f9 ampio nel dare forma non solo a al potenziale dell\u2019utilizzo dell\u2019AI nelle scienze della vita, ma anche a come questa dovrebbe essere applicata a beneficio della scienza e della societ\u00e0.<\/p>\n\n\n\n<p>L&#8217;investimento visionario della Fondazione Hector non solo rafforza la capacit\u00e0 dell&#8217;EMBL di essere all&#8217;avanguardia negli approcci di ricerca basati sull&#8217;AI, ma funge anche da catalizzatore per attrarre ulteriori finanziamenti esterni e creare nuove partnerships in tutta Europa. &#8220;Siamo all&#8217;inizio di una nuova era scientifica in cui l&#8217;intelligenza artificiale fornisce impulsi fondamentali per acquisire conoscenze e guidare l&#8217;innovazione. Con il nostro sostegno a lungo termine, intendiamo consentire all&#8217;EMBL di espandere ulteriormente il suo ruolo di leader nelle scienze della vita guidate dall&#8217;intelligenza artificiale, a beneficio della ricerca, della medicina e della societ\u00e0 nel suo complesso&#8221;, ha dichiarato il Dr. h.c. Hans-Werner Hector, fondatore della Fondazione Hector.<\/p>\n\n\n\n<p>Grazie a questo sostegno, unito alla leadership scientifica e all&#8217;etica collaborativa che lo caratterizzano, l\u2019EMBL sta definendo un nuovo standard globale per la ricerca sulle scienze della vita e le infrastrutture di ricerca basate sull&#8217;AI. Dotando gli scienziati di strumenti avanzati, competenze interdisciplinari e solide basi etiche, l&#8217;EMBL garantisce che i vantaggi dell&#8217;AI siano condivisi al di l\u00e0 dei confini e delle discipline, accelerando la scoperta e plasmando il futuro della biologia.<\/p>\n\n\n\n<hr class=\"vf-divider\"\/>\n\n\n\n<h1 class=\"wp-block-heading\" id=\"Spanish\">La IA en las ciencias de la vida: la filantrop\u00eda impulsa la estrategia del EMBL<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">El EMBL recibe m\u00e1s de 40 millones de euros en financiaci\u00f3n filantr\u00f3pica para integrar la inteligencia artificial en todas las \u00e1reas de la investigaci\u00f3n en ciencias de la vida \u2013 desde la biolog\u00eda molecular hasta la investigaci\u00f3n m\u00e9dica<\/h2>\n\n\n\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n      <h3 class=\"vf-card__heading\">\n      Resumen    <\/h3>\n                <p class=\"vf-card__text\"><ul>\r\n \t<li>La estrategia de IA del EMBL tiene como objetivo transformar profundamente la investi-gaci\u00f3n en ciencias de la vida mediante la integraci\u00f3n completa de la inteligencia artificial (IA).<\/li>\r\n \t<li>Las aplicaciones de la IA en este campo incluyen el an\u00e1lisis de datos a gran escala, la predicci\u00f3n de prote\u00ednas, el descubrimiento de biomarcadores, el procesamiento de im\u00e1-genes y el desarrollo de medicamentos.<\/li>\r\n \t<li>La financiaci\u00f3n de la Fundaci\u00f3n Hector (Alemania) apoyar\u00e1 iniciativas clave del EMBL, como la contrataci\u00f3n de talento interdisciplinar, la expansi\u00f3n de la infraestructura de IA y la consolidaci\u00f3n de los programas de formaci\u00f3n.<\/li>\r\n<\/ul><\/p>\n      <\/div>\n<\/article>\n\n\n\n\n<p>El Laboratorio Europeo de Biolog\u00eda Molecular (EMBL) es desde hace tiempo uno de los pioneros en el desarrollo y la aplicaci\u00f3n de la <a href=\"https:\/\/www.embl.org\/topics\/ai-at-embl\/\">inteligencia artificial<\/a> (IA) para avanzar en los campos de la gen\u00f3mica, la biolog\u00eda estructural y el descubrimiento de f\u00e1rmacos. Uno de los ejemplos m\u00e1s destacados es <a href=\"https:\/\/www.embl.org\/news\/science\/alphafold-using-open-data-and-ai-to-discover-the-3d-protein-universe\/\">AlphaFold<\/a> \u2013 desarrollado por Google DeepMind y entrenado con datos proporcionados por EMBL-EBI y sus colaboradores \u2013 que ha revolucionado la predicci\u00f3n de estructuras proteicas. Con el apoyo de EMBL-EBI, las predicciones de AlphaFold2 se han puesto a disposici\u00f3n de la comunidad investigadora global de forma gratuita. Adem\u00e1s de sus importantes contribuciones a la IA en biolog\u00eda estructural, el EMBL tambi\u00e9n lidera la aplicaci\u00f3n de la IA al an\u00e1lisis de todo tipo de datos biol\u00f3gicos y a la investigaci\u00f3n cient\u00edfica, incluyendo nuevos m\u00e9todos para la imagen celular, el an\u00e1lisis de patrones en historiales cl\u00ednicos y la integraci\u00f3n de datos biol\u00f3gicos como gen\u00f3mica y prote\u00f3mica. <a href=\"https:\/\/www.embl.org\/editorhub\/wp-content\/uploads\/2025\/02\/EMBL_AI-Strategy_Feb2025_Accessible.pdf\">La estrategia integral<\/a> de IA del EMBL presenta una visi\u00f3n m\u00e1s amplia y orientada al futuro: aprovechar todo el potencial de la IA para lograr descubrimientos cient\u00edficos transformadores.<\/p>\n\n\n\n<p>Este ambicioso objetivo recibe un gran impulso gracias a una donaci\u00f3n visionaria y a largo plazo de la Fundaci\u00f3n Hector (Alemania). Esta financiaci\u00f3n permitir\u00e1 la creaci\u00f3n de grupos de investigaci\u00f3n especializados en IA, equipos de ingenier\u00eda de datos e infraestructuras punteras, as\u00ed como programas de formaci\u00f3n y becas que conecten la IA con las ciencias de la vida. Estas iniciativas pretenden atraer a talento de alto nivel, fomentar la colaboraci\u00f3n entre el mundo acad\u00e9mico y la industria, y consolidar la IA en el n\u00facleo de las infraestructuras cient\u00edficas.<\/p>\n\n\n\n<p>\u201cLa inversi\u00f3n de la Fundaci\u00f3n Hector es un testimonio del papel fundamental que la IA desempe\u00f1ar\u00e1 en el futuro de las ciencias de la vida y del papel que el EMBL puede jugar en esta transformaci\u00f3n\u201d, apunta Oliver Stegle,director Interino de IA en EMBL. \u201cLa IA ya est\u00e1 cambiando radicalmente la forma en que tratamos enormes vol\u00famenes de datos biol\u00f3gicos a una velocidad sin precedentes. Pero la verdadera transformaci\u00f3n no ocurre en solitario: necesitamos asociarnos, trabajar en equipo con otras disciplinas y colaboraci\u00f3n internacional.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">La ciencia del futuro<\/h2>\n\n\n\n<p>La visi\u00f3n del EMBL de transformar m\u00faltiples \u00e1reas de la investigaci\u00f3n biol\u00f3gica y biom\u00e9dica se basa en su larga experiencia en el desarrollo tecnol\u00f3gico, los datos abiertos y su liderazgo en la creaci\u00f3n y conservaci\u00f3n de recursos biol\u00f3gicos utilizados en todo el mundo para entrenar modelos de IA.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>En gen\u00f3mica y prote\u00f3mica, los modelos de aprendizaje autom\u00e1tico pueden ayudar a <a href=\"https:\/\/www.ebi.ac.uk\/about\/news\/perspectives\/leveraging-long-read-sequencing-for-cancer-genomics\/\">descifrar secuencias gen\u00e9ticas complejas<\/a>, <a href=\"https:\/\/www.embl.org\/news\/science\/puzzling-out-the-structure-of-a-molecular-giant\/\">predecir estructuras de prote\u00ednas<\/a> e <a href=\"https:\/\/www.embl.org\/news\/science\/charting-a-multi-omic-universe\/\">identificar biomarcadores de enfermedades<\/a>.<\/li>\n\n\n\n<li>La imagen y microscop\u00eda guiadas por IA pueden <a href=\"https:\/\/www.embl.org\/news\/science\/machine-learning-to-identify-and-prioritise-drug-targets\/\">mejorar las observaciones celulares y moleculares<\/a>, reduciendo el trabajo manual y aumentando la precisi\u00f3n en experimentos a gran escala.<\/li>\n\n\n\n<li>En el descubrimiento de f\u00e1rmacos, las simulaciones moleculares potenciadas por IA pueden acelerar la <a href=\"https:\/\/www.embl.org\/news\/science\/machine-learning-to-identify-and-prioritise-drug-targets\/\">identificaci\u00f3n de posibles candidatos<\/a>, acortando significativamente los plazos de investigaci\u00f3n.<\/li>\n\n\n\n<li>Adem\u00e1s, los sistemas de gesti\u00f3n de datos basados en IA continuar\u00e1n optimizando el <a href=\"https:\/\/www.embl.org\/news\/science\/ai-annotations-increase-patent-data-in-surechembl\/\">procesamiento de enormes conjuntos de datos biol\u00f3gicos<\/a>, haci\u00e9ndolos m\u00e1s accesibles y \u00fatiles para investigadores de todo el mundo.<\/li>\n<\/ul>\n\n\n\n<p>\u201cLa inteligencia artificial est\u00e1 transformando la manera en que hacemos biolog\u00eda\u201d, asegura Anna Kreshuk, Cient\u00edfica Senior y experta en aprendizaje autom\u00e1tico del EMBL. \u201cEsta iniciativa redefinir\u00e1 las preguntas que formulamos, c\u00f3mo las respondemos y c\u00f3mo conectamos la teor\u00eda con el experimento.\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Una visi\u00f3n para un ecosistema europeo de IA<\/h2>\n\n\n\n<p>EMBL est\u00e1 ampliando su infraestructura de IA y expandiendo asociaciones con instituciones acad\u00e9micas, industriales y reguladoras en toda Europa para aprovechar plenamente el potencial transformador de la inteligencia artificial.<\/p>\n\n\n\n<p>Atrayendo a expertos de primer nivel de todo el mundo y proporcionando acceso a instalaciones cient\u00edficas de excelencia, EMBL construye un entorno din\u00e1mico que garantiza que los beneficios del descubrimiento impulsado por IA sean ampliamente accesibles y contin\u00faen impulsando la investigaci\u00f3n interdisciplinaria. Conscientes de que las herramientas m\u00e1s avanzadas s\u00f3lo son tan eficaces como las personas que las usan, el EMBL otorga gran importancia a la formaci\u00f3n de la pr\u00f3xima generaci\u00f3n de cient\u00edficos interdisciplinarios en investigaci\u00f3n computacional avanzada.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Filantrop\u00eda con prop\u00f3sito: impulsando la iniciativa de IA del EMBL<\/strong><\/h2>\n\n\n\n<p>La estrategia del EMBL integra est\u00e1ndares \u00e9ticos, incluyendo medidas de privacidad y protocolos de reproducibilidad, para guiar la aplicaci\u00f3n responsable de la IA. Estos esfuerzos reflejan su compromiso m\u00e1s amplio no solo con lo que la ciencia computacional puede lograr, sino tambi\u00e9n con c\u00f3mo debe aplicarse para beneficiar tanto a la ciencia como a la sociedad.<\/p>\n\n\n\n<p>La inversi\u00f3n visionaria de la Fundaci\u00f3n Hector no solo refuerza la capacidad del EMBL para liderar en enfoques de investigaci\u00f3n basados en IA, sino que tambi\u00e9n act\u00faa como catalizador para atraer m\u00e1s financiaci\u00f3n externa y establecer nuevas alianzas en toda Europa.<\/p>\n\n\n\n<p>\u201cEstamos en el comienzo de una nueva era cient\u00edfica en la que la inteligencia artificial proporciona impulsos clave para generar conocimiento e impulsar la innovaci\u00f3n. Con nuestro apoyo a largo plazo, queremos permitir que el EMBL siga expandiendo su papel l\u00edder en las ciencias de la vida impulsadas por IA \u2013 en beneficio de la investigaci\u00f3n, la medicina y la sociedad en su conjunto.\u201d Asegura Dr. Hans-Werner Hector, fundador de la Fundaci\u00f3n Hector.<br \/>Gracias a este apoyo \u2013 combinado con el liderazgo cient\u00edfico y el esp\u00edritu colaborativo del EMBL \u2013 la organizaci\u00f3n est\u00e1 estableciendo un nuevo est\u00e1ndar global para la investigaci\u00f3n en ciencias de la vida y las infraestructuras cient\u00edficas impulsadas por IA. Al dotar a los cient\u00edficos de herramientas avanzadas, habilidades interdisciplinarias y marcos \u00e9ticos s\u00f3lidos, el EMBL asegura que los beneficios de la IA se compartan m\u00e1s all\u00e1 de fronteras y disciplinas, acelerando el descubrimiento y moldeando el futuro de la biolog\u00eda.<\/p>\n\n\n\n<hr class=\"vf-divider\"\/>\n\n\n\n<h1 class=\"wp-block-heading\" id=\"French\">L\u2019IA au coeur des sciences de la vie : un acte philanthropique vient booster la strat\u00e9gie de l\u2019EMBL<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">L&#8217;EMBL re\u00e7oit plus de 40 millions d&#8217;euros de financement philanthropique, essentiel pour son initiative visant \u00e0 faire progresser les sciences de la vie en int\u00e9grant strat\u00e9giquement l&#8217;intelligence artificielle dans tous ses domaines de recherche, de la biologie mol\u00e9culaire \u00e0 la recherche m\u00e9dicale<\/h2>\n\n\n\n<article class=\"vf-card vf-card--brand vf-card--bordered vf-u-margin__bottom--800\" default>\n  <div class=\"vf-card__content | vf-stack vf-stack--400\">\n      <h3 class=\"vf-card__heading\">\n      R\u00e9sum\u00e9    <\/h3>\n                <p class=\"vf-card__text\"><ul>\r\n \t<li>La strat\u00e9gie de l&#8217;EMBL en mati\u00e8re d&#8217;IA vise \u00e0 transformer fondamentalement la recherche en sciences de la vie en int\u00e9grant de mani\u00e8re globale l&#8217;intelligence artificielle (IA).<\/li>\r\n \t<li>Les applications de l&#8217;IA dans les sciences de la vie comprennent l&#8217;analyse de donn\u00e9es \u00e0 grande \u00e9chelle, la pr\u00e9diction des prot\u00e9ines, la d\u00e9couverte de nouveaux biomarqueurs, le traitement d&#8217;images et le d\u00e9veloppement de m\u00e9dicaments.<\/li>\r\n \t<li>Le financement de la fondation allemande Hector soutiendra des initiatives cl\u00e9s de l&#8217;EMBL, telles que le recrutement de talents interdisciplinaires, l&#8217;expansion de l&#8217;infrastructure IA et l&#8217;am\u00e9lioration des programmes de formation.<\/li>\r\n<\/ul><\/p>\n      <\/div>\n<\/article>\n\n\n\n\n<p>Le Laboratoire europ\u00e9en de biologie mol\u00e9culaire (EMBL) est depuis longtemps un pionnier dans le d\u00e9veloppement et l&#8217;application de <a href=\"https:\/\/www.embl.org\/topics\/ai-at-embl\/\">l&#8217;intelligence artificielle (IA)<\/a> pour faire progresser la g\u00e9nomique, la biologie structurale et la d\u00e9couverte de m\u00e9dicaments. L&#8217;un des exemples les plus marquants est <a href=\"https:\/\/www.embl.org\/news\/science\/alphafold-using-open-data-and-ai-to-discover-the-3d-protein-universe\/\">AlphaFold<\/a>, d\u00e9velopp\u00e9 par Google DeepMind et form\u00e9 \u00e0 partir de donn\u00e9es fournies par l&#8217;EMBL-EBI et ses collaborateurs, qui a r\u00e9volutionn\u00e9 la pr\u00e9diction de la structure des prot\u00e9ines. Avec le soutien de l&#8217;<a href=\"https:\/\/www.ebi.ac.uk\/about\/\">EMBL-EBI<\/a>, les pr\u00e9dictions d&#8217;AlphaFold2 ont \u00e9t\u00e9 mises gratuitement \u00e0 la disposition des chercheurs du monde entier. <\/p>\n\n\n\n<p>Outre ses contributions majeures \u00e0 l&#8217;IA dans le domaine de la biologie structurale, l&#8217;EMBL est \u00e9galement \u00e0 la pointe de ses applications \u00e0 tous les types d&#8217;analyse de donn\u00e9es biologiques et de recherche scientifique, y compris les nouvelles m\u00e9thodes d&#8217;imagerie cellulaire, l&#8217;analyse des tendances dans les dossiers m\u00e9dicaux et la combinaison de diff\u00e9rents types de donn\u00e9es biologiques telles que la g\u00e9nomique et la prot\u00e9omique. La <a href=\"https:\/\/www.embl.org\/editorhub\/wp-content\/uploads\/2025\/02\/EMBL_AI-Strategy_Feb2025_Accessible.pdf\">strat\u00e9gie IA de l&#8217;EMBL<\/a> refl\u00e8te et s&#8217;appuie d\u00e9sormais sur ses ant\u00e9c\u00e9dents \u00e9prouv\u00e9s en mati\u00e8re d&#8217;innovation ax\u00e9e sur l&#8217;IA pour pr\u00e9senter une vision plus large et tourn\u00e9e vers l&#8217;avenir : exploiter tout le potentiel de l&#8217;intelligence artificielle pour des d\u00e9couvertes scientifiques \u00e0 fort impact pour la soci\u00e9t\u00e9. <\/p>\n\n\n\n<p>Cette ambition est fortement soutenue par un don visionnaire \u00e0 long terme de la <a href=\"https:\/\/hector-stiftung.com\/\">Fondation Allemande Hector<\/a>. Ce financement permettra la cr\u00e9ation de groupes de recherche d\u00e9di\u00e9s \u00e0 l&#8217;IA, d&#8217;\u00e9quipes d&#8217;ing\u00e9nierie des donn\u00e9es et d&#8217;infrastructures de pointe, ainsi que de programmes de bourses et de d\u00e9veloppement des comp\u00e9tences qui font le lien entre l&#8217;IA et les sciences de la vie. Ces initiatives visent \u00e0 attirer les meilleurs talents, \u00e0 favoriser la collaboration entre le monde universitaire et l&#8217;industrie, et \u00e0 ancrer fermement l&#8217;IA dans la mise en place d&#8217;infrastructures de recherche.<\/p>\n\n\n\n<p>\u201cL\u2019investissement r\u00e9alis\u00e9 par la Fondation Hector t\u00e9moigne du r\u00f4le crucial de l\u2019IA dans les transformations \u00e0 venir des m\u00e9tiers des sciences de la vie et du r\u00f4le que l\u2019EMBL peut y jouer,\u201d ajoute <a href=\"https:\/\/www.embl.org\/people\/person\/oliver-stegle\">Oliver Stegle<\/a>, Responsable par int\u00e9rim de la strat\u00e9gie IA \u00e0 l&#8217;EMBL. \u201cL&#8217;IA est d\u00e9j\u00e0 en train de transformer radicalement la mani\u00e8re dont nous explorons des quantit\u00e9s astronomiques de donn\u00e9es biologiques et ce \u00e0 une vitesse incroyable. Mais une v\u00e9ritable transformation ne peut se faire de mani\u00e8re isol\u00e9e : elle n\u00e9cessite des partenariats solides, un travail d&#8217;\u00e9quipe interdisciplinaire et une collaboration transfrontali\u00e8re au sein de la communaut\u00e9 scientifique. <\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Un futur o\u00f9 l\u2019IA accompagne les sciences de la vie<\/h2>\n\n\n\n<p>La vision de l&#8217;EMBL visant \u00e0 transformer plusieurs domaines de la recherche biologique et biom\u00e9dicale repose sur son expertise de longue date en mati\u00e8re de d\u00e9veloppement technologique, de donn\u00e9es ouvertes et son leadership dans la cr\u00e9ation de ressources de donn\u00e9es biologiques de qualit\u00e9 utilis\u00e9es dans le monde entier pour former des mod\u00e8les d&#8217;IA.<\/p>\n\n\n\n<p>De plus, les syst\u00e8mes de gestion des donn\u00e9es bas\u00e9s sur l&#8217;IA continueront \u00e0 rationaliser <a href=\"https:\/\/www.embl.org\/news\/science\/ai-annotations-increase-patent-data-in-surechembl\/\">le traitement de vastes ensembles de donn\u00e9es biologiques<\/a>, les rendant plus accessibles et exploitables pour les chercheurs du monde entier.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>En g\u00e9nomique et en prot\u00e9omique, les mod\u00e8les d&#8217;apprentissage automatique peuvent aider \u00e0 <a href=\"https:\/\/www.ebi.ac.uk\/about\/news\/perspectives\/leveraging-long-read-sequencing-for-cancer-genomics\/\">d\u00e9coder des s\u00e9quences g\u00e9n\u00e9tiques complexes<\/a>, \u00e0 <a href=\"https:\/\/www.embl.org\/news\/science\/puzzling-out-the-structure-of-a-molecular-giant\/\">pr\u00e9dire les structures prot\u00e9iques<\/a> et \u00e0 identifier des <a href=\"https:\/\/www.embl.org\/news\/science\/charting-a-multi-omic-universe\/\">biomarqueurs de certaines maladies<\/a>.&nbsp;<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>L&#8217;imagerie et la microscopie guid\u00e9es par l&#8217;IA peuvent <a href=\"https:\/\/www.embl.org\/news\/science-technology\/follow-the-cellular-road\/\">am\u00e9liorer les observations cellulaires et mol\u00e9culaires<\/a>, r\u00e9duisant encore davantage les approches manuelles tout en am\u00e9liorant la pr\u00e9cision des exp\u00e9riences \u00e0 grande \u00e9chelle.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Dans le d\u00e9veloppement de nouveaux m\u00e9dicaments, les simulations mol\u00e9culaires \u00e9tendues aliment\u00e9es par l&#8217;IA peuvent <a href=\"https:\/\/www.embl.org\/news\/science\/machine-learning-to-identify-and-prioritise-drug-targets\/\">acc\u00e9l\u00e9rer l&#8217;identification de candidats potentiels<\/a>, r\u00e9duisant ainsi consid\u00e9rablement les d\u00e9lais de recherche.<\/li>\n\n\n\n<li>De plus, les syst\u00e8mes de gestion des donn\u00e9es bas\u00e9s sur l&#8217;IA continueront \u00e0 rationaliser <a href=\"https:\/\/www.embl.org\/news\/science\/ai-annotations-increase-patent-data-in-surechembl\/\">le traitement de vastes ensembles de donn\u00e9es biologiques<\/a>, les rendant plus accessibles et exploitables pour les chercheurs du monde entier.<\/li>\n<\/ul>\n\n\n\n<p>\u201cL\u2019intelligence Artificiel a le potentiel de transformer la mani\u00e8re dont nous faisons de la biologie.\u201d commente Anna Kreshuk, Chercheuse confirm\u00e9e et experte en machine learning \u00e0 l&#8217;EMBL. \u201cCette initiative vient remodeler les questions que l\u2019on se pose, comment y r\u00e9pondre et la fa\u00e7on dont nous allons lier th\u00e9orie et exp\u00e9rimentations\u201d<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Collaboration interdisciplinaire : nouvelle vision pour l\u2019\u00e9cosyst\u00e8me europ\u00e9en sur l\u2019IA<\/strong><\/h2>\n\n\n\n<p>Afin de tirer pleinement parti du potentiel transformateur de l&#8217;intelligence artificielle, l&#8217;EMBL renforce son infrastructure IA et d\u00e9veloppe des partenariats avec des acteurs universitaires, industriels et r\u00e9glementaires \u00e0 travers l&#8217;Europe.<\/p>\n\n\n\n<p>En attirant des experts de renom du monde entier et en leur donnant acc\u00e8s \u00e0 des installations de classe mondiale, l&#8217;EMBL favorise un environnement scientifique dynamique, qui garantit que les avantages des d\u00e9couvertes issues de l&#8217;IA sont largement accessibles et continuent \u00e0 faire progresser une recherche interdisciplinaire. Conscient que la puissance des outils de pointe d\u00e9pend de celle des personnes qui les utilisent, l&#8217;EMBL met fortement l&#8217;accent sur la formation de la prochaine g\u00e9n\u00e9ration de scientifiques interdisciplinaires \u00e0 la recherche computationnelle avanc\u00e9e.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Un don participant au d\u00e9veloppement de la strat\u00e9gie IA de l\u2019EMBL<\/strong><\/h2>\n\n\n\n<p>La strat\u00e9gie de l&#8217;EMBL int\u00e8gre des standards \u00e9thiques, notamment des mesures de protection de la vie priv\u00e9e et des protocoles de reproductibilit\u00e9, afin de favoriser une utilisation responsable de l&#8217;IA. Ces efforts refl\u00e8tent son engagement plus large \u00e0 fa\u00e7onner non seulement ce que les sciences computationnelles de la vie peuvent accomplir, mais aussi la mani\u00e8re dont elles doivent \u00eatre appliqu\u00e9es au profit de la science et de la soci\u00e9t\u00e9.<\/p>\n\n\n\n<p>L&#8217;investissement visionnaire de la Fondation Hector renforce non seulement la capacit\u00e9 de l&#8217;EMBL \u00e0 jouer un r\u00f4le de premier plan dans les techniques de recherche bas\u00e9es sur l&#8217;IA, mais sert \u00e9galement de catalyseur pour attirer des financements externes suppl\u00e9mentaires et forger de nouveaux partenariats \u00e0 travers l&#8217;Europe. \u00ab Nous sommes \u00e0 l&#8217;aube d&#8217;une nouvelle \u00e8re scientifique dans laquelle l&#8217;intelligence artificielle fournit des impulsions cl\u00e9s pour acqu\u00e9rir des connaissances et stimuler l&#8217;innovation. Gr\u00e2ce \u00e0 notre soutien \u00e0 long terme, nous souhaitons permettre \u00e0 l&#8217;EMBL de renforcer son r\u00f4le de leader dans le domaine des sciences de la vie,\u00a0bas\u00e9es sur l&#8217;IA, au profit de la recherche, de la m\u00e9decine et de la soci\u00e9t\u00e9 dans son ensemble \u00bb, a d\u00e9clar\u00e9 le Dr h.c. Hans-Werner Hector, fondateur de la Fondation Hector.<\/p>\n\n\n\n<p>Gr\u00e2ce \u00e0 ce soutien, combin\u00e9 au leadership scientifique et \u00e0 l&#8217;esprit de collaboration de l&#8217;EMBL, l&#8217;EMBL \u00e9tablit une nouvelle norme mondiale en mati\u00e8re de recherche et d&#8217;infrastructures de recherche dans le domaine des sciences de la vie bas\u00e9es sur l&#8217;IA. En dotant les scientifiques d&#8217;outils avanc\u00e9s, de comp\u00e9tences interdisciplinaires et de cadres \u00e9thiques solides, l&#8217;EMBL veille \u00e0 ce que les avantages de l&#8217;IA soient partag\u00e9s au-del\u00e0 des fronti\u00e8res et des disciplines, acc\u00e9l\u00e9rant ainsi les d\u00e9couvertes et fa\u00e7onnant l&#8217;avenir de la biologie.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>EMBL\u2019s new AI strategy, backed by the German Hector Foundation, integrates AI across all areas of the life sciences to drive breakthroughs and innovation.<\/p>\n","protected":false},"author":114,"featured_media":75651,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[17595],"tags":[4718,796,1748],"embl_taxonomy":[3722,2870,5802],"class_list":["post-75589","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-connections","tag-artificial-intelligence","tag-ord","tag-press-release","embl_taxonomy-about-embl","embl_taxonomy-all-embl-sites","embl_taxonomy-support-embl"],"acf":{"vfwp-news_embl_taxonomy":[3722,2870,5802],"featured":true,"show_featured_image":false,"field_target_display":"embl","field_article_language":{"value":"english","label":"English"},"article_intro":"<p>EMBL receives over \u20ac40 million in pivotal philanthropic funding for its initiative to advance life sciences by deeply integrating artificial intelligence across all areas of research \u2013 from molecular biology to medical research<\/p>\n","related_links":[{"link_description":"AI at EMBL","link_url":"https:\/\/www.embl.org\/topics\/ai-at-embl\/"},{"link_description":"EMBL\u2019s AI strategy\r\n","link_url":"https:\/\/www.embl.org\/editorhub\/wp-content\/uploads\/2025\/02\/EMBL_AI-Strategy_Feb2025_Accessible.pdf"}],"source_article":false,"in_this_article":false,"press_contact":"EMBL Generic","article_translations":[{"translation_language":"Italiano","translation_anchor":"#Italian"},{"translation_language":"Deutsch","translation_anchor":"#Deutsch"},{"translation_language":"Espa\u00f1ol","translation_anchor":"#Spanish"},{"translation_language":"Fran\u00e7ais","translation_anchor":"#French"}],"languages":""},"embl_taxonomy_terms":[{"uuid":"a:2:{i:0;s:36:\"302cfdf7-365b-462a-be65-82c7b783ebf7\";i:1;s:36:\"bc1eaadd-1f50-4140-8e9b-e58fc33a39fc\";}","parents":[],"name":["About EMBL"],"slug":"about-embl","description":"What &gt; About EMBL"},{"uuid":"a:2:{i:0;s:36:\"b14d3f13-5670-44fb-8970-e54dfd9c921a\";i:1;s:36:\"89e00fee-87f4-482e-a801-4c3548bb6a58\";}","parents":[],"name":["All EMBL sites"],"slug":"all-embl-sites","description":"Where &gt; All EMBL sites"},{"uuid":"a:3:{i:0;s:36:\"302cfdf7-365b-462a-be65-82c7b783ebf7\";i:1;s:36:\"bc1eaadd-1f50-4140-8e9b-e58fc33a39fc\";i:2;s:36:\"69e1d012-360d-4754-bf0f-9e1185643e9f\";}","parents":[],"name":["Support EMBL"],"slug":"support-embl","description":"What &gt; About EMBL &gt; Support EMBL"}],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>AI in the life sciences: philanthropy fuels EMBL\u2019s strategy | EMBL<\/title>\n<meta name=\"description\" content=\"EMBL\u2019s new AI strategy, backed by the German Hector Foundation, integrates AI across all areas of the life sciences to drive breakthroughs and innovation.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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