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19 results

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Page 1
Deep-learning models for the detection and incidence prediction of chronic kidney disease and type 2 diabetes from retinal fundus images.
Zhang K, Liu X, Xu J, Yuan J, Cai W, Chen T, Wang K, Gao Y, Nie S, Xu X, Qin X, Su Y, Xu W, Olvera A, Xue K, Li Z, Zhang M, Zeng X, Zhang CL, Li O, Zhang EE, Zhu J, Xu Y, Kermany D, Zhou K, Pan Y, Li S, Lai IF, Chi Y, Wang C, Pei M, Zang G, Zhang Q, Lau J, Lam D, Zou X, Wumaier A, Wang J, Shen Y, Hou FF, Zhang P, Xu T, Zhou Y, Wang G. Zhang K, et al. Nat Biomed Eng. 2021 Jun;5(6):533-545. doi: 10.1038/s41551-021-00745-6. Epub 2021 Jun 15. Nat Biomed Eng. 2021. PMID: 34131321
Mapping the intersection of sudden cardiac death and COVID-19: a comprehensive bibliometric analysis (2020-2024).
Bhattacharya S, Singh A, Singh A, Singh S. Bhattacharya S, et al. Front Cardiovasc Med. 2024 Nov 18;11:1472337. doi: 10.3389/fcvm.2024.1472337. eCollection 2024. Front Cardiovasc Med. 2024. PMID: 39624215 Free PMC article.
Co-citation analysis revealed seminal works that shaped the discourse, with influential articles by Xu Z et al. and Guo T et al. frequently cited. The collaborative nature of research, especially among top institutions and countries like the U.S., Italy, and the U.K., was …
Co-citation analysis revealed seminal works that shaped the discourse, with influential articles by Xu Z et al. and Guo T et al. freq …
Metabolomics of early blight (Alternaria solani) susceptible tomato (Solanum lycopersicum) unfolds key biomarker metabolites and involved metabolic pathways.
Singh DP, Maurya S, Yerasu SR, Bisen MS, Farag MA, Prabha R, Shukla R, Chaturvedi KK, Farooqi MS, Srivastava S, Rai A, Sarma BK, Rai N, Behera TK. Singh DP, et al. Sci Rep. 2023 Nov 29;13(1):21023. doi: 10.1038/s41598-023-48269-0. Sci Rep. 2023. PMID: 38030710 Free PMC article.
We have deciphered altered metabolite composition, modulated metabolic pathways and identified metabolite biomarkers in A. solani-challenged susceptible tomato variety Kashi Aman using Liquid Chromatography-Mass Spectrometry (LC-MS) based metabolomics. Alteration in the me …
We have deciphered altered metabolite composition, modulated metabolic pathways and identified metabolite biomarkers in A. solani-challenged …
Chromosome-level genome assembly of a specialist walnut pest Atrijuglans aristata.
Feng DD, Sun C, Li YC, Gao QF, Wang GF, Li HH, Orr MC, Yang CQ, Zhang AB. Feng DD, et al. Sci Data. 2025 Mar 12;12(1):434. doi: 10.1038/s41597-025-04754-x. Sci Data. 2025. PMID: 40075062 Free PMC article.
The genome is 480.99 Mb and spans 31 pseudo-chromosomes, including Z and a portion of W chromosome. Contig N50 and scaffold N50 of the genome are 2.68 Mb and 16.01 Mb respectively. ...
The genome is 480.99 Mb and spans 31 pseudo-chromosomes, including Z and a portion of W chromosome. Contig N50 and scaffold N50 of th …
MRI-based interpretable radiomics nomogram for discrimination between Brucella spondylitis and Pyogenic spondylitis.
Yasin P, Yimit Y, Abliz D, Mardan M, Xu T, Yusufu A, Cai X, Sheng W, Mamat M. Yasin P, et al. Heliyon. 2023 Dec 13;10(1):e23584. doi: 10.1016/j.heliyon.2023.e23584. eCollection 2024 Jan 15. Heliyon. 2023. PMID: 38173524 Free PMC article.
The radiomics features were preprocessed, including scaling using Z-score and undergoing univariate analysis to eliminate redundant features. Furthermore, the Least Absolute Shrinkage and Selection Operator (LASSO) was employed to develop a radiomics score (M2). ...
The radiomics features were preprocessed, including scaling using Z-score and undergoing univariate analysis to eliminate redundant f …
19 results