Vangipurapu, Jagadish

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

Detection of Novel Gene Variants Associated with Congenital Hypothyroidism in a Finnish Patient Cohort

Löf, C., Patyra, K., Kuulasmaa, T., Vangipurapu, J., Undeutsch, H., Jaeschke, H., Pajunen, T., Kero, A., Krude, H., Biebermann, H., et al. (2016) · Thyroid®

Thyroid Disorders and TreatmentsGenomics and Rare Diseases

Cited by 81

Both Fasting and Glucose-Stimulated Proinsulin Levels Predict Hyperglycemia and Incident Type 2 Diabetes: A Population-Based Study of 9,396 Finnish Men

Vangipurapu, J., Stančáková, A., Kuulasmaa, T., Kuusisto, J., & Laakso, M. (2015) · PLOS ONE

Pancreatic function and diabetesDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 46