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UID:512@inflames.utu.fi
DTSTART;TZID=Europe/Helsinki:20261102T083000
DTEND;TZID=Europe/Helsinki:20261102T160000
DTSTAMP:20261002T062234Z
URL:https://inflames.utu.fi/events/ai-empowered-multiomics-for-precision-m
 edicine/
SUMMARY:AI-empowered multiomics for precision medicine
DESCRIPTION:2nd November at 08:30-16:00\nOnsite event\nin Cal1 auditorium\,
  Calonia\nFlyer\n\nModern medicine is increasingly driven by large and div
 erse datasets. Genomics\, transcriptomics\, proteomics\, radiomics\, patho
 mics and other omics technologies provide unprecedented opportunities to u
 nderstand disease at the individual level — but their true clinical valu
 e depends on our ability to integrate\, interpret and translate these data
  into meaningful decisions.\n\nThis is a one-day multidisciplinary lecture
  course bringing together internationally recognized experts in AI\, genom
 ics\, transcriptomics\, metagenomics\, radiomics\, digital pathology and m
 edical digital twins. We will explore how artificial intelligence can inte
 grate complex multimodal biological and medical data to advance disease di
 agnosis\, treatment prediction\, personalized therapy and clinical decisio
 n-making.\n\nThe 100 lunch seats got already filled\, but we will offer yo
 u morning and afternoon coffee during the day.\n\nThe event is free of cha
 rge\, welcome everyone!\n\n \n\nRegister to the event at latest on Monday
  26 October 2026:\nhttps://link.webropolsurveys.com/S/FFDC939EAD87C951\n\n
  \n\nProgram\n\n8:30–9:00 | Morning coffee\n\n9:00–9:10 | Welcome and
  opening words\n\n9:10–10:10 | Lecture 1\n   Connecting the dots: From
  radiomics and multiomics to patient digital twins\n   Prof. Philippe La
 mbin\, Maastricht University\, The Netherlands\n\n10:10–10:55 | Lecture 
 2\n   Metagenomics for diagnosis of infection\n   Dr. Julianne Brown\,
  MD\, PhD\, Great Ormond Street Hospital for Children\, UK\n\n10:55–11:1
 0 | Stretch break\n\n11:10–11:55 | Lecture 3\n   Genomics and transcri
 ptomics for treatment prediction\n   Prof. Tero Aittokallio\, University
  of Oslo\, Norway\, and University of Helsinki\, Finland\n\n11:55–13:10 
 | Lunch provided for 100 first registrants in restaurant Macciavelli\n\n13
 :10–13:55 | Lecture 4\n   AI-enabled computational pathology\n   Pro
 f. Pekka Ruusuvuori\, University of Turku\, Finland\n\n13:55–14:40 | Lec
 ture 5\n   Digital twin models to dissect metabolic flux in the cancer m
 icroenvironment\n   Prof. Deepak Nagrath\, University of Michigan\, USA\
 n\n14:40–14:55 | Coffee break\n\n14:55–15:55 | Panel discussion:\nMult
 iomics and AI in precision medicine: From data to clinical impact\n   Mo
 derator: Prof. Saara Wittfooth\nPanelists: Philippe Lambin\, Julianne Brow
 n\, Tero Aittokallio\, Pekka Ruusuvuori\, Deepak Nagrath\, Sammeli Liikkan
 en\n\n15:55–16:00 | Closing words\n\n&nbsp\;\n\nRead more about the spea
 kers and the program from the event web pages:\nhttps://www.utu.fi/en/news
 /events/ai-empowered-multiomics-for-precision-medicine\n\n&nbsp\;\n\nMore 
 information about the event from Xiang-Guo Li (xiali@utu.fi) and Maija Les
 pinasse (miholm@utu.fi)\n\n&nbsp\;\n\nThe event is arranged by Health\, Di
 agnostics and Drug Development multidisciplinary theme.
ATTACH;FMTTYPE=image/jpeg:https://inflames.utu.fi/wp-content/uploads/AImul
 tiomics-thumb@300ppi.png
CATEGORIES:Events in English
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TZID:Europe/Helsinki
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DTSTART:20261025T030000
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