George Hripcsak

Affiliations: 
Biomedical Informatics Columbia University, New York, NY 
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"George Hripcsak"
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Dept of Biomedical Informatics, Columbia University, New York 10032, USA

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Publications

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Golozar A, Lai LY, Sena AG, et al. (2020) Baseline phenotype and 30-day outcomes of people tested for COVID-19: an international network cohort including >3.32 million people tested with real-time PCR and >219,000 tested positive for SARS-CoV-2 in South Korea, Spain and the United States. Medrxiv : the Preprint Server For Health Sciences
Son JH, Xie G, Yuan C, et al. (2018) Deep Phenotyping on Electronic Health Records Facilitates Genetic Diagnosis by Clinical Exomes. American Journal of Human Genetics
Delogu GL, Pintus F, Mayán L, et al. (2017) MAO inhibitory activity of bromo-2-phenylbenzofurans: synthesis, study, and docking calculations. Medchemcomm. 8: 1788-1796
Vilar S, Friedman C, Hripcsak G. (2017) Detection of drug-drug interactions through data mining studies using clinical sources, scientific literature and social media. Briefings in Bioinformatics
Pintus F, Matos MJ, Vilar S, et al. (2017) New insights into highly potent tyrosinase inhibitors based on 3-heteroarylcoumarins: Anti-melanogenesis and antioxidant activities, and computational molecular modeling studies. Bioorganic & Medicinal Chemistry
Vilar S, Quezada E, Uriarte E, et al. (2016) Computational Drug Target Screening through Protein Interaction Profiles. Scientific Reports. 6: 36969
Finkelstein J, Friedman C, Hripcsak G, et al. (2016) Pharmacogenetic polymorphism as an independent risk factor for frequent hospitalizations in older adults with polypharmacy: a pilot study. Pharmacogenomics and Personalized Medicine. 9: 107-116
Vilar S, Hripcsak G. (2016) Leveraging 3D chemical similarity, target and phenotypic data in the identification of drug-protein and drug-adverse effect associations. Journal of Cheminformatics. 8: 35
Hripcsak G, Ryan PB, Duke JD, et al. (2016) Characterizing treatment pathways at scale using the OHDSI network. Proceedings of the National Academy of Sciences of the United States of America
Vilar S, Hripcsak G. (2016) The role of drug profiles as similarity metrics: applications to repurposing, adverse effects detection and drug-drug interactions. Briefings in Bioinformatics
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