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Results for
""Machine Learning""[mesh_terms]

871 Results

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Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation.

Filip Miljković, Steffen Hirte, Roxane Axel Jacob, Thomas Seidel, Ya Chen, Johannes Kirchmair, Thierry Langer, Angelica Mazzolari, Alessandro Pedretti, Giulio Vistoli

Journal of chemical information and modeling 2024;64(2):348-358

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Learning protein fitness models from evolutionary and assay-labeled data.

Jennifer Listgarten, Clara Fannjiang, Hunter Nisonoff, Chloe Hsu

Nature biotechnology 2022;40(7):1114-1122

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Contrastive self-supervised learning for diabetic retinopathy early detection.

Jihong Ouyang, Wenting Wang, Dong Xu, Siguang Liu, Zeqi Guo, Dong Mao

Medical & biological engineering & computing 2023;61(9):2441-2452

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Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants.

Clara T Schoeder, Moritz Ertelt, Jens Meiler, Rocco Moretti

Science advances 2025;11(7):eadr7338

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MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning.

Yuting Guo, Linlin Zhuo, Zhenya Du, Xiangzheng Fu, Yan Yang, Lin Feng, Xiaojun Yao, Dongsheng Cao

Journal of chemical information and modeling 2025;65(7):3517-3528

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Integrating genetics, metabolites, and clinical characteristics in predicting cardiometabolic health outcomes using machine learning algorithms - A systematic review.

Xianyu Zhu, Eduard F Ventura, Anisha Wijeyesekera, Karani S Vimaleswaran, Sakshi Bansal

Computers in biology and medicine 2025;186():109661

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Experimental study and machine learning model to predict formability of magnesium alloy sheet.

Bupesh Raja V K, Krishna Chythanya Nagaraju, Balaji Viswanadhapalli

F1000Research 2023;11():1118

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A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome.

K Dhuli, S Janaqi, L J M Zambrano, S Bardhi, E Noka, X Dhamo, B Preni, E Kalluçi, M Bertelli, K Donato, G Bonetti, A Macchia

La Clinica terapeutica 2024;175(3):98-116

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A multi-level machine learning pipeline for prediction and prioritization of hybrid insulin peptides in type 1 diabetes.

Ilya Kandinov, Dmitry Trukhin, Dmitry Gryadunov, Elena Savvateeva

Frontiers in immunology 2026;17():1917213

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Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis.

Tahereh Doustmohammadi, Amin Magsudy, Fereshteh Sohrabivafa, Mohammad Reza Jahanbazy, Mohammadreza Rahmani, Romina Bayani, Amir Mohammad Kiapasha, Mehrsa Moannaei, Faezeh Jadidian, Yaser Khakpour, Mahsa Asadi Anar, Seyyed Kiarash Sadat Rafiei

Biomedical engineering online 2025;24(1):34

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Enhanced Regioselectivity Prediction of sp C-H Halogenation via Negative Data Augmentation and Multimodel Integration.

Zhiting Zhang, Lebin Su, Jia Qiu, Kuangbiao Liao, Chonghuan Zhang, Qianghua Lin, Zhunzhun Yu, Jiajun Zheng

Journal of chemical information and modeling 2025;65(7):3420-3430

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Prediction Models for Identifying Ion Channel-Modulating Peptides via Knowledge Transfer Approaches.

Jong Wha J Joo, Yu Jeong Shim, Taegun Kim, Min Kyoung Shin, Byungjo Lee, Wonhee Jang, Jung-Suk Sung

IEEE journal of biomedical and health informatics 2023;26(12):6150-6160

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Early dietitian referral in lung cancer: use of machine learning.

Philip M Evans, Iain Phillips, Lindsey Allan, Michael Chung, Adele Hug, Naomi Westran

BMJ supportive & palliative care 2024;14(1):56-59

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Modeling obesity in complex food systems: Systematic review.

Joachim Hertzberg, Volker Heinz, Sergiy Smetana, Anita Bhatia

Frontiers in endocrinology 2022;13():1027147

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Optimization of diabetes prediction methods based on combinatorial balancing algorithm.

QingJun Song, DaShuai Zong, HuiZhi Shao, Xiang Liu

Nutrition & diabetes 2024;14(1):63

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Results for ""Machine Learning""[mesh_terms]

Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation.

Learning protein fitness models from evolutionary and assay-labeled data.

Contrastive self-supervised learning for diabetic retinopathy early detection.

Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants.

MultiCTox: Empowering Accurate Cardiotoxicity Prediction through Adaptive Multimodal Learning.

Integrating genetics, metabolites, and clinical characteristics in predicting cardiometabolic health outcomes using machine learning algorithms - A systematic review.

Experimental study and machine learning model to predict formability of magnesium alloy sheet.

A comparative study of supervised and unsupervised machine learning algorithms applied to human microbiome.

A multi-level machine learning pipeline for prediction and prioritization of hybrid insulin peptides in type 1 diabetes.

Performance and limitation of machine learning algorithms for diabetic retinopathy screening and its application in health management: a meta-analysis.

Enhanced Regioselectivity Prediction of sp C-H Halogenation via Negative Data Augmentation and Multimodel Integration.

Prediction Models for Identifying Ion Channel-Modulating Peptides via Knowledge Transfer Approaches.

Early dietitian referral in lung cancer: use of machine learning.

Modeling obesity in complex food systems: Systematic review.

Optimization of diabetes prediction methods based on combinatorial balancing algorithm.

Results for
""Machine Learning""[mesh_terms]