Luk, Andrea O. Y.

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

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

The case for early identification and intervention of chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference

Shlipak, M. G., Tummalapalli, S. L., Boulware, L. E., Grams, M. E., Ix, J. H., Jha, V., Kengne, A.-P., Madero, M., Mihaylova, B., Tangri, N., et al. (2021) · Kidney International

Chronic Kidney Disease and DiabetesDialysis and Renal Disease Management

Cited by 581

Metabolic profiles and treatment gaps in young-onset type 2 diabetes in Asia (the JADE programme): a cross-sectional study of a prospective cohort

Yeung, R. O., Zhang, Y., Luk, A., Yang, W., Sobrepena, L., Yoon, K.-H., Aravind, S. R., Sheu, W., Nguyen, T. K., Ozaki, R., et al. (2014) · The Lancet Diabetes & Endocrinology

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 296

Integrated image-based deep learning and language models for primary diabetes care

Li, J., Guan, Z., Wang, J., Cheung, C. Y., Zheng, Y., Lim, L.-L., Lim, C. C., Ruamviboonsuk, P., Raman, R., Corsino, L., et al. (2024) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 250

Trends in all-cause mortality among people with diagnosed diabetes in high-income settings: a multicountry analysis of aggregate data

Magliano, D. J., Chen, L., Carstensen, B., Gregg, E. W., Pavkov, M. E., Salim, A., Andes, L. J., Balicer, R., Baviera, M., Chan, J. C. N., et al. (2022) · The Lancet Diabetes & Endocrinology

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 91

Secular trends in incidence of type 1 and type 2 diabetes in Hong Kong: A retrospective cohort study

Luk, A. O. Y., Ke, C., Lau, E. S. H., Wu, H., Goggins, W., Ma, R. C. W., Chow, E., Kong, A. P. S., So, W.-Y., & Chan, J. C. N. (2020) · PLOS Medicine

Diabetes and associated disordersDiabetes Management and Research

Cited by 84

Effects of a Technology-Assisted Integrated Diabetes Care Program on Cardiometabolic Risk Factors Among Patients With Type 2 Diabetes in the Asia-Pacific Region: The JADE Program Randomized Clinical Trial

Lim, L.-L., Lau, E. S. H., Fu, A. W. C., Ray, S., Hung, Y.-J., Tan, A. T. B., Chamnan, P., Sheu, W. H. H., Chawla, M. S., Chia, Y.-C., et al. (2021) · JAMA Network Open

Diabetes Management and EducationDiabetes Treatment and Management

Cited by 37

1-year weight change after diabetes diagnosis and long-term incidence and sustainability of remission of type 2 diabetes in real-world settings in Hong Kong: An observational cohort study

Wu, H., Yang, A., Lau, E. S. H., Zhang, X., Fan, B., Ma, R. C. W., Kong, A. P. S., Chow, E., So, W.-Y., Chan, J. C. N., et al. (2024) · PLOS Medicine

Diabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 24