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A supervised learning-assisted multi-scale study for thermal and mechanical behavior of porous Silica.
Heliyon. 2024 Apr 4;10(7):e28995. doi: 10.1016/j.heliyon.2024.e28995. eCollection 2024 Apr 15.
Heliyon. 2024.
PMID: 38633647
Free PMC article.
Data-driven supervised machine learning to predict the compressive response of porous PVA/Gelatin hydrogels and in-vitro assessments: Employing design of experiments.
Khalvandi A, Tayebi L, Kamarian S, Saber-Samandari S, Song JI.
Khalvandi A, et al.
Int J Biol Macromol. 2023 Dec 31;253(Pt 3):126906. doi: 10.1016/j.ijbiomac.2023.126906. Epub 2023 Sep 14.
Int J Biol Macromol. 2023.
PMID: 37716655
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Application of artificial neural networks to predict Young's moduli of cartilage scaffolds: An in-vitro and micromechanical study.
Khalvandi A, Saber-Samandari S, Aghdam MM.
Khalvandi A, et al.
Biomater Adv. 2022 May;136:212768. doi: 10.1016/j.bioadv.2022.212768. Epub 2022 Mar 18.
Biomater Adv. 2022.
PMID: 35929308
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Implications the Role of miR-155 in the Pathogenesis of Autoimmune Diseases.
Pashangzadeh S, Motallebnezhad M, Vafashoar F, Khalvandi A, Mojtabavi N.
Pashangzadeh S, et al. Among authors: khalvandi a.
Front Immunol. 2021 May 7;12:669382. doi: 10.3389/fimmu.2021.669382. eCollection 2021.
Front Immunol. 2021.
PMID: 34025671
Free PMC article.
Review.
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Nuclear overexpression levels of MAGE-A3 predict poor prognosis in patients with prostate cancer.
Khalvandi A, Abolhasani M, Madjd Z, Shekarabi M, Kourosh-Arami M, Mohsenzadegan M.
Khalvandi A, et al.
APMIS. 2021 Jun;129(6):291-303. doi: 10.1111/apm.13132. Epub 2021 Apr 13.
APMIS. 2021.
PMID: 33743542
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Reduced cytoplasmic expression of MAGE-A2 predicts tumor aggressiveness and survival: an immunohistochemical analysis.
Khalvandi A, Abolhasani M, Madjd Z, Sharifi L, Bakhshi P, Mohsenzadegan M.
Khalvandi A, et al.
World J Urol. 2021 Jun;39(6):1831-1843. doi: 10.1007/s00345-020-03395-6. Epub 2020 Aug 9.
World J Urol. 2021.
PMID: 32772147
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