Haid, Mark
Helmholtz Munich
2 papers on CoChatORCID 0000-0001-6118-1333
Most cited papers
- Verified
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models
Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., et al. (2023) · Nature Biotechnology
Bioinformatics and Genomic NetworksComputational Drug Discovery Methods
Cited by 111
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Predicting and elucidating the etiology of fatty liver disease: a machine learning modeling and validation study in the IMI DIRECT cohorts
Atabaki-Pasdar, N., Ohlsson, M., Viñuela, A., Frau, F., Pomares-Millan, H., Haid, M., Jones, A. G., Thomas, E. L., Koivula, R. W., Kurbasic, A., et al. (2020) · PLOS Medicine
Liver Disease Diagnosis and TreatmentAlcohol Consumption and Health Effects
Cited by 97
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