Mapping burdens and inequalities of polycystic ovary syndrome in young females across 953 locations 1990-2040 with deep learning forecasts.
- DOI
- 10.1016/j.isci.2026.115116
- Published
- 2026 Apr 17
- Container
- iScience
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1016/j.isci.2026.115116,
title = {Mapping burdens and inequalities of polycystic ovary syndrome in young females across 953 locations 1990-2040 with deep learning forecasts.},
author = {Wu Y and Cai W and Chen M and Luo S and Norman RJ and Khomami MB and Moran L and Zhang H and Samarasinghe SNS and Rawaf S and Ehrmann DA and Pan L and Ding K and Ma S and Zheng L and Shao X and Zuo Y and Huang B and Li F and Xue M and Shang T and Cai G and Chen Y and Wang Y and Lu Y and Wang D and Wan Y and Wu N and Lin C and Pan W and Zhang R and Yao T and Xiong Y and Chen K and Zhao J and Li S and Zhu L and Tan L and Zeng Y and Zeng Y and Szarpak L and Hamdy NM and Zhong CC and Yuan F and Chu Y and Jia X and Wu P and Wei L and Ye Y and Conde J and Wu Z and Zhang J and Tang Y and Ye P and Yang D and Wang S and Majeed A and Teede H and Jin W and Lin Q},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.115116},
url = {https://doi.org/10.1016/j.isci.2026.115116}
}RIS
TY - JOUR TI - Mapping burdens and inequalities of polycystic ovary syndrome in young females across 953 locations 1990-2040 with deep learning forecasts. AU - Wu Y AU - Cai W AU - Chen M AU - Luo S AU - Norman RJ AU - Khomami MB AU - Moran L AU - Zhang H AU - Samarasinghe SNS AU - Rawaf S AU - Ehrmann DA AU - Pan L AU - Ding K AU - Ma S AU - Zheng L AU - Shao X AU - Zuo Y AU - Huang B AU - Li F AU - Xue M AU - Shang T AU - Cai G AU - Chen Y AU - Wang Y AU - Lu Y AU - Wang D AU - Wan Y AU - Wu N AU - Lin C AU - Pan W AU - Zhang R AU - Yao T AU - Xiong Y AU - Chen K AU - Zhao J AU - Li S AU - Zhu L AU - Tan L AU - Zeng Y AU - Zeng Y AU - Szarpak L AU - Hamdy NM AU - Zhong CC AU - Yuan F AU - Chu Y AU - Jia X AU - Wu P AU - Wei L AU - Ye Y AU - Conde J AU - Wu Z AU - Zhang J AU - Tang Y AU - Ye P AU - Yang D AU - Wang S AU - Majeed A AU - Teede H AU - Jin W AU - Lin Q PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.115116 UR - https://doi.org/10.1016/j.isci.2026.115116 ER -
APA
Y, W., W, C., M, C., S, L., RJ, N., MB, K., L, M., H, Z., SNS, S., S, R., DA, E., L, P., K, D., S, M., L, Z., X, S., Y, Z., B, H., F, L., M, X., T, S., G, C., Y, C., Y, W., Y, L., D, W., Y, W., N, W., C, L., W, P., R, Z., T, Y., Y, X., K, C., J, Z., S, L., L, Z., L, T., Y, Z., Y, Z., L, S., NM, H., CC, Z., F, Y., Y, C., X, J., P, W., L, W., Y, Y., J, C., Z, W., J, Z., Y, T., P, Y., D, Y., S, W., A, M., H, T., W, J., & Q, L. (2026). Mapping burdens and inequalities of polycystic ovary syndrome in young females across 953 locations 1990-2040 with deep learning forecasts.. iScience. https://doi.org/10.1016/j.isci.2026.115116
Source records
- pubmed · retrieved 2026-09-27T07:04:11.520Z