Showing 41 - 60 results of 433 for search 'T38 (classification)', query time: 0.06s Refine Results
  1. 41

    Mining versatile feruloyl esterases: phylogenetic classification, structural features, and deep learning model by Liang Guo, Yuxin Dong, Deyong Zhang, Xinrong Pan, Xinjie Jin, Xinyu Yan, Yin Lu

    Published 2025-01-01
    “…Finally, to expand the repertoire of versatile FEs, we employed deep learning models to predict potentially promiscuous enzymes and identified 38 and 75 potential versatile FEs from cluster 1 and cluster 3 with a probability score exceeding 90%. …”
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    Predictive value of myositis antibodies: role of semiquantitative classification and positivity for more than one autoantibody by Anne M Kerola, Arno Hänninen, Annukka Pietikäinen, Julia Barantseva, Annaleena Pajander

    Published 2025-01-01
    “…The PPV for malignancy was highest for anti-TIF1-γ (38%), followed by anti-PL-7 (32%). Stronger antibody band intensity was associated with higher PPVs for myositis and CTD but not for ILD or malignancies. …”
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    Postoperative symptom changes following uterine artery embolization for uterine fibroid based on FIGO classification by Yoshimi Nozaki, Shiori Takeuchi, Masafumi Arai, Yoshiki Kuwatsuru, Hiroshi Toei, Shingo Okada, Hitomi Kato, Naoko Saito, Takamichi Nobushima, Keisuke Murakami, Mari Kitade, Ryohei Kuwatsuru

    Published 2025-01-01
    “…Abstract Background Classifying uterine fibroid using the International Federation of Gynecology and Obstetrics (FIGO) classification system assists treatment decision-making and planning. …”
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    Automated orthodontic diagnosis via self-supervised learning and multi-attribute classification using lateral cephalograms by Qiao Chang, Yuxing Bai, Shaofeng Wang, Fan Wang, Shuang Liang, Xianju Xie

    Published 2025-02-01
    “…Additionally, a multi-attribute classification network is proposed, leveraging attribute correlations to optimize parameters and enhance classification performance. …”
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    A Standardized Classification Scheme for Gastroduodenal Disorder Evaluation Using the Gastric Alimetry System: Prospective Cohort Study by Chris Varghese, Gabriel Schamberg, Emma Uren, Stefan Calder, Mikaela Law, Daphne Foong, Vincent Ho, Billy Wu, I-Hsuan Huang, Peng Du, Thomas Abell, Charlotte Daker, Christopher N. Andrews, Armen A. Gharibans, Gregory O’Grady

    Published 2025-01-01
    “…Studies have demonstrated a range of distinct pathophysiological profiles, and a classification scheme is now required. We used Gastric Alimetry spectral and symptom profiles to develop a mechanism-based test classification scheme, then assessed correlations with symptom severity, psychometrics, and quality of life. …”
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