Organisation: Biomedical Data Science

• Events

  Artificial Intelligence for Bioscientific Research – Prof. Anne-Laure Boulesteix

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Artificial Intelligence for Bioscientific Research – Prof. Juho Rousu

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Causal Analysis of Biomedical Data – Prof. Jesse Krijthe

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Causal Analysis of Biomedical Data – Prof. Ana Conesa

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Causal Analysis of Biomedical Data – Prof. Ramón Díaz-Uriarte

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Causal Analysis of Biomedical Data – Prof. Simona Ester Rombo

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Research Groups

  Biomedical Data Science

  The Biomedical Data Science group develops and applies statistical methods, graph-based algorithms and machine learning tools to study neurodegenerative diseases.

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• Events

  Causal Analysis of Biomedical Data – Dr Ilaria Granata

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Causal Analysis of Biomedical Data – Prof. Susana Vinga

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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• Events

  Causal Analysis of Biomedical Data – Prof. Paola Lecca

  This series brings together global experts in causal inference, computational biology and statistics to discuss integrative omics analysis, personalised medicine and public health applications.

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