Professor of Health Informatics and AI @UofGlasgow, doing #MachineLearning, #NLP & #KnowledgeGraph for #healthcare

Edinburgh
Joined March 2009
Come and join us at @UofGlasgow on June 16-18th 2025 for the UK's annual text analytics conference. You will particularly hear about #multimodal #AI and #HumanAI collaborative work for #healthcare #LLM #GenAI #HEALTAC2025 , supported by @HDR_UK @UofGSHW @cogstack and more
Call for contributions for 8th annual UK healthcare text analytics conference (Glasgow, June 16-18, 2025): healtac2025.github.io/ #datasaveslives #NLProc #HEALTAC2025
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NEW Research: Prevalence and demographics of 331 rare diseases and associated #COVID-19-related mortality among 58 million individuals: a nationwide retrospective observational study. @johanhilge @hhwu Read it here: buff.ly/40QXkKS
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Great opportunity to join @AI4BI_CDT and work with @tisimpson & @hhwu
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Honghan Wu retweeted
Tutorial on "Healthcare Text Analytics in the Era of Large Language Models" by Yunsoo Kim, Jinge Wu and Honghan Wu (UCL) at #HealTAC2024 on June 12th. Register at healtac2024.github.io/ #LLM #NLProc #datasaveslives.
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Honghan Wu retweeted
Keynote on "Large Language Models in healthcare: should we care more?" by Suzan Verberne (Suzan Verberne (@suzan, healtac2024.github.io/keynot…) at #HealTAC2024 on June 13th. Register at healtac2024.github.io #LLM #NLProc #datasaveslives.
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We are organising a tutorial on "Healthcare Text Analytics in the Era of Large Language Models #LLMs" at Healthcare Text Analytics Conference (HealTAC) 2024 on the afternoon of 12th June #healtac2024 hosted by the beautiful @LancasterUni @UK_healtex healtac2024.github.io/progra…
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📢 Our Big Data for Complex Disease Driver Programme is offering up to 5 Fellowships to apply the potential of large-scale health data to better predict the development and impact of inequalities on cancer and cardiovascular disease. Learn more: hubs.li/Q02bPWb00
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One of the most important enabling functionalities to facilitate better integrated care across health services, for example with this we would have known better about who/where to discharge people in the #Covid pandemic #covidinquiryUK #carehomes @acrcedincare
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We are hiring a #postdoc in using #datascience and #clinical #AI to benefit everyone for #health and #care? come and join us to work at @UCL_IHI and with colleagues from @EdinUniUsher @BirminghamBRC @HDR_UK on gtr.ukri.org/projects?ref=MR… ucl.ac.uk/work-at-ucl/search…
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📢📢📢A great venue (special issue) for research papers on applications of #deeplearning #GenerativeAI #NLP #AI in facilitating better #healthcare @UCL_IHI @HDR_UK @cdt_ai_health @acrcedincare
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Honghan Wu retweeted
Goran Nenadic expresses his gratitude to all attendees @ #HealTAC2023 in the valedictory session bringing the highly engaging 2 days of excellent talks, thought-provoking discussions among other events to a glorious close Already looking forward to #HealTAC2024 #datasaveslives
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Honghan Wu retweeted
Joint workshop with @HDR_UK at #HealTAC2023 on meta data for clinical #NLProc l #datasaveslives
#HealTAC2023 pre conference workshop- heating up with annotation and #healthcare #nlp for clinical #KCL #UniManchester
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Honghan Wu retweeted
Thrilled that #HealTAC2023 is supported by @AkriviaHealth. We will work together to build robust #NLProc for #drugdiscovery & development for #mentalhealth. Register for the 6th healthcare text analytics conference. Manchester, UK on June 15-16, 2023 #HealTAC2023 #datasaveslives
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Honghan Wu retweeted
NEW DATE #CfP Call for papers for the 6th Knowledge Discovery in Healthcare Data (KDH) workshop 📢 closes 11 May 2023. 👉 sites.google.com/view/kdh-20… #healthcare #ArtificialIntelligence #Healthtech #Biostatistics
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Just a few days until our next Statistical Methods for Health Equity Series webinar! Join us with Dr Honghan Wu (UCL) to explore the topic of '"Fair" in the context of AI-enabled clinical decision making'. RSVP 👇 datascienceforhealthequity.c…
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Superb work @ClementDong and colleague, demonstrating how weak supervised #NLP + #Ontology techniques can greatly facilitating identifying #RareDisease from #EHR: >90% accuracy! bmcmedinformdecismak.biomedc… There's also a great error analysis 👇👇👇
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