{"id":24029,"date":"2026-11-11T19:08:48","date_gmt":"2026-11-11T17:08:48","guid":{"rendered":"https:\/\/grnet.gr\/?p=24029"},"modified":"2026-11-11T19:08:48","modified_gmt":"2026-11-11T17:08:48","slug":"s-kollias-at-miohr-2026","status":"publish","type":"post","link":"https:\/\/grnet.gr\/en\/2026\/11\/11\/s-kollias-at-miohr-2026\/","title":{"rendered":"GRNET Chairman S.Kollias delivers keynote speech at MIOHR 2026 on Artificial Intelligence"},"content":{"rendered":"

Stefanos Kollias, Chairman of the Board at GRNET and Professor Emeritus at the National Technical University of Athens (NTUA), <\/span>participated as a Keynote Speaker at the 11th international conference \u201cMethodological Issues in Oral Health Research\u201d (MIOHR 2026), which took place in Athens, Greece, from 5 to 7 November 2026, under the central theme \u201cArtificial Intelligence in Oral Health\u201d.<\/span><\/p>\n

As part of the conference, Mr. Kollias delivered a keynote speech entitled \u201cArtificial Intelligence: New Challenges and Approaches\u201d. <\/span>In his speech, the GRNET Chairman addressed recent developments in the European Union’s AI strategy and Greece’s contribution to this evolving landscape through the new <\/span>DAEDALUS supercomputer<\/span><\/a>, implemented by GRNET, and the <\/span>PHAROS AI Factory<\/span><\/a> project, coordinated by GRNET.<\/span><\/p>\n

Mr. Kollias highlighted that these infrastructures aim to strengthen access to advanced computing resources and support researchers, start-ups and SMEs in developing and deploying innovative generative and agentic AI solutions. Particular emphasis was placed on the healthcare sector, examining the opportunities and challenges of AI applications in medical and dental diagnostics, including accuracy, validation, data quality, bias and explainability, in alignment with the evolving European Health Data Space.<\/span><\/p>\n

MIOHR 2026 focused on how Artificial Intelligence is opening up new possibilities for dental science, bringing innovative tools and data-driven approaches to research, diagnosis and the delivery of oral healthcare.<\/span><\/p>\n

The conference brought together distinguished scientists and researchers from the international academic and scientific community, addressing the intersection of Artificial Intelligence with dental research, health data analytics and modern clinical applications. Its programme included keynote lectures, scientific presentations and workshops, featuring experts from leading universities and research institutions.<\/span><\/p>\n

The participation of GRNET in MIOHR 2026 highlighted the importance of interdisciplinary collaboration and the use of Artificial Intelligence technologies in scientific research and healthcare, while showcasing the contribution of the Greek scientific community to shaping emerging technological developments.<\/span><\/p>\n

More information and event agenda can be found <\/span>here<\/span><\/a>.<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Stefanos Kollias, Chairman of the Board at GRNET and Professor Emeritus at the National Technical University of Athens (NTUA), participated as a Keynote Speaker at the 11th international conference \u201cMethodological Issues in Oral Health Research\u201d (MIOHR 2026), which took place in Athens, Greece, from 5 to 7 November 2026, under the central theme \u201cArtificial Intelligence […]<\/p>\n","protected":false},"author":10,"featured_media":24025,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[294,355,490],"tags":[934,1005,517,349,1321,933],"class_list":["post-24029","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-events-en","category-news-en","category-news_en-en","tag-ai-factory-pharos","tag-artificialintelligence","tag-conference","tag-grnet-en","tag-miohr","tag-new-national-supercomputer-daedalus"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t