AI for patient stratification: Challenges and recommendations

GLAAB, Enrico

Scientific presentation in universities or research centers (Scientific presentations in universities or research centers)

GLAAB, Enrico

2023

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https://hdl.handle.net/10993/62564

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Keywords :

AI; machine learning; personalized medicine; best practices; cross-validation; recommendations; guidelines; statistics

Research center :

Luxembourg Centre for Systems Biomedicine (LCSB): Biomedical Data Science (Glaab Group)

Disciplines :

Human health sciences: Multidisciplinary, general & others
Biotechnology

Author, co-author :

GLAAB, Enrico ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Biomedical Data Science

Language :

English

Title :

AI for patient stratification: Challenges and recommendations

Publication date :

2023

Event name :

EU-Africa PerMed Summer School

Event place :

South Africa

Event date :

22.02.2023

Audience :

International

Focus Area :

Systems Biomedicine

Development Goals :

3. Good health and well-being

European Projects :

H2020 - 874825 - PERMIT - PERsonalised MedicIne Trials

Name of the research project :

R-AGR-3672 - H2020 - PERMIT - GLAAB Enrico

Funders :

European Union
Union Européenne

Funding number :

H2020 - 874825 - PERMIT - PERsonalised MedicIne Trials

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since 18 November 2024

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