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A multi-stage feature selection method to improve classification of potential super-agers and cognitive decliners using structural brain MRI data-a UK biobank study.
Mohammadiarvejeh P, Fili M, Dawson A, Klinedinst BS, Wang Q, Moody S, Barnett N, Pollpeter A, Larsen B, Li T, Willette SA, Mochel JP, Allenspach K, Hu G, Willette AA. Mohammadiarvejeh P, et al. Among authors: li t. Geroscience. 2024 Dec 10. doi: 10.1007/s11357-024-01458-9. Online ahead of print. Geroscience. 2024. PMID: 39656405
A machine learning approach for potential Super-Agers identification using neuronal functional connectivity networks.
Fili M, Mohammadiarvejeh P, Klinedinst BS, Wang Q, Moody S, Barnett N, Pollpeter A, Larsen B, Li T, Willette SA, Mochel JP, Allenspach K, Hu G, Willette AA. Fili M, et al. Among authors: li t. Alzheimers Dement (Amst). 2024 Jun 10;16(2):e12595. doi: 10.1002/dad2.12595. eCollection 2024 Apr-Jun. Alzheimers Dement (Amst). 2024. PMID: 38860031 Free PMC article.
Using machine learning to predict COVID-19 infection and severity risk among 4,510 aged adults: a UK Biobank cohort study.
Willette AA, Willette SA, Wang Q, Pappas C, Klinedinst BS, Le S, Larsen B, Pollpeter A, Li T, Brenner N, Waterboer T. Willette AA, et al. Among authors: li t. medRxiv [Preprint]. 2021 Jan 5:2020.06.09.20127092. doi: 10.1101/2020.06.09.20127092. medRxiv. 2021. Update in: Sci Rep. 2022 May 11;12(1):7736. doi: 10.1038/s41598-022-07307-z PMID: 32577673 Free PMC article. Updated. Preprint.
Glycan Sequencing Based on Glycosidase-Assisted Nanopore Sensing.
Yao G, Xia B, Wei F, Wang J, Yang Y, Ma S, Ke W, Li T, Cheng X, Wen L, Long YT, Gao Z. Yao G, et al. Among authors: li t. J Am Chem Soc. 2025 Jan 2. doi: 10.1021/jacs.4c12940. Online ahead of print. J Am Chem Soc. 2025. PMID: 39745005
39,937 results
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