Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

IMI DIRECT Consortium, Rosa Lundbye Allesøe, Agnete Troen Lundgaard, Ricardo Hernández Medina, Alejandro Aguayo-Orozco, Joachim Johansen, Jakob Nybo Nissen, Caroline Brorsson, Gianluca Mazzoni, Lili Niu, Jorge Hernansanz Biel, Cristina Leal Rodríguez, Valentas Brasas, Henry Webel, Michael Eriksen Benros, Anders Gorm Pedersen, Piotr Jaroslaw Chmura, Ulrik Plesner Jacobsen, Andrea Mari, Robert KoivulaAnubha Mahajan, Ana Vinuela, Juan Fernandez Tajes, Sapna Sharma, Mark Haid, Mun-Gwan Hong, Petra B Musholt, Federico De Masi, Josef Vogt, Helle Krogh Pedersen, Valborg Gudmundsdottir, Angus Jones, Gwen Kennedy, Jimmy Bell, E Louise Thomas, Gary Frost, Henrik Thomsen, Elizaveta Hansen, Tue Haldor Hansen, Henrik Vestergaard, Mirthe Muilwijk, Marieke T Blom, Leen M 't Hart, Francois Pattou, Violeta Raverdy, Soren Brage, Tarja Kokkola, Alison Heggie, Donna McEvoy, Miranda Mourby, Ian Forgie, Ewan Pearson, Simon Rasmussen (Lead / Corresponding author), Soren Brunak (Lead / Corresponding author)

Population Health and Genomics

Research output: Contribution to journal › Article › peer-review

53 Citations (Scopus)

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DIRECT: Diabetes Research on Patient Stratification (joint with 25 other partners)
Colhoun, H. (Investigator), Houston, G. (Investigator), Morris, A. (Investigator), Palmer, C. (Investigator) & Pearson, E. (Investigator)
COMMISSION OF THE EUROPEAN COMMUNITIES
1/02/12 → 28/02/27
Project: Research

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

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DIRECT: Diabetes Research on Patient Stratification (joint with 25 other partners)