Fitipaldi, Hugo

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

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

Effective interventions in preventing gestational diabetes mellitus: A systematic review and meta-analysis

Takele, W. W., Vesco, K. K., Josefson, J., Redman, L. M., Hannah, W., Bonham, M. P., Chen, M., Chivers, S. C., Fawcett, A. J., Grieger, J. A., et al. (2024) · Communications Medicine

Gestational Diabetes Research and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 55