Ipp, Eli
The Lundquist Institute · Washington University in St. Louis · Harbor–UCLA Medical Center
6 papers on CoChatORCID 0000-0003-1588-0146
Most cited papers
- Verified
Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation
Mahajan, A., Spracklen, C. N., Zhang, W., Ng, M. C. Y., Petty, L. E., Kitajima, H., Yu, G. Z., Rüeger, S., Speidel, L., Kim, Y. J., et al. (2022) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 704
- Verified
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
Suzuki, K., Hatzikotoulas, K., Southam, L., Taylor, H. J., Yin, X., Lorenz, K. M., Mandla, R., Huerta-Chagoya, A., Melloni, G. E. M., Kanoni, S., et al. (2024) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 606
- Verified
Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy
Ipp, E., Liljenquist, D., Bode, B., Shah, V. N., Silverstein, S., Regillo, C. D., Lim, J. I., Sadda, S., Domalpally, A., Gray, G., et al. (2021) · JAMA Network Open
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 256
- Verified
Efficacy and Safety of Dapagliflozin in Patients With Inadequately Controlled Type 1 Diabetes (the DEPICT-2 Study): 24-Week Results From a Randomized Controlled Trial
Mathieu, C., Dandona, P., Gillard, P., Senior, P., Hasslacher, C., Araki, E., Lind, M., Bain, S. C., Jabbour, S., Arya, N., et al. (2018) · Diabetes Care
Diabetes Treatment and ManagementDiabetes Management and Research
Cited by 252
- Verified
Efficacy and safety of dapagliflozin in patients with inadequately controlled type 1 diabetes: the DEPICT-1 52-week study
Dandona, P., Mathieu, C., Phillip, M., Hansen, L., Tschöpe, D., Thorén, F., Xu, J., Langkilde, A. M., DEPICT-1 Investigators, Proietto, J., et al. (2018) · Diabetes Care
Diabetes Treatment and ManagementDiabetes Management and Research
Cited by 243
- Verified · note
Artificial Intelligence Detection of Diabetic Retinopathy
Lim, J. I., Regillo, C. D., Sadda, S. R., Ipp, E., Bhaskaranand, M., Ramachandra, C., Solanki, K., Dubiner, H., Levy-Clarke, G., Pesavento, R., et al. (2023) · Ophthalmology Science
Retinal Imaging and AnalysisRetinal Diseases and Treatments
Cited by 157
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