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Results for
""Prediction Algorithms""[mesh_terms]

17 Results

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Predicting and Optimizing Zerumbone Content in Zingiber zerumbet Using Artificial Neural Network (ANN) Model: A Statistical Approach and Experimental Validation.

Biswabhusan Dash, Asit Ray, Swagat Mohanty, Ayushman Gadnayak, Sucheesmita Padhee, Ambika Sahoo, Sudipta Jena, Sujata Mohanty, Pratap Chandra Panda, Sanghamitra Nayak

Chemistry & biodiversity 2026;23(7):e02951

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Evaluation of the Risk Prediction Model for Frailty in Diabetic Patients: A Systematic Review and Meta-Analysis.

Qing Chen, Meiling Yang, Mengmeng Chen, Chuyuan Miao, Zidan Wang, Joanne Wai Yee Chung

Journal of diabetes research 2026;2026(1):e4938173

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Enhancing prediction accuracy for enzyme activity engineering through sequence co-evolution and epistatic relationship modeling.

Da Neub Kim, Hyeongseop Kim, Donghyo Kim, Gyoo Yeol Jung, Sanguk Kim, Myung Hyun Noh

Nucleic acids research 2026;54(17):

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Repetitive proteins that undergo large conformational changes evade structural prediction algorithms.

Marina P Chang, Tianyi Jin, Alana P Gudinas, Daniel Fernandez, Alfredo Alexander-Katz, Tsutomu Matsui, Danielle J Mai

The Journal of chemical physics 2025;163(22):

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Risk prediction models for malnutrition in dialysis patients in China: a systematic review and meta-analysis.

Mengyao Liu, Yan Wu, Fen Ye, Wenting Liu, Xu Deng, Yang Tang, Lili Deng

Renal failure 2026;48(1):2687920

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PMAVP: A Mamba-Inspired Deep Learning Framework for Antiviral Peptide Identification and Functional Activity Prediction.

Peiwei Wei, Weihao Su, Qingsong Qin, Chuliang Wei, Yi Shi, Guishan Zhang

International journal of molecular sciences 2026;27(17):

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A machine learning framework for predicting and modulating condition-dependent protein phase separation.

Jangwon Bae, Minjun Kang, Donghyuk Lee, Kuk-Jin Yoon, Yongwon Jung

Nature communications 2026;17(1):

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Artificial intelligence driven prognostic models for predicting diabetic retinopathy risk in type 2 diabetes mellitus: A systematic review.

M M S Teruna, T R Razak, S M Yasin, A A R Ali, M M M Salleh, M Z M Yusoff, M H A Khebir, N A C Rameli, M I M Sallehhudin, M S M Asraff, M R Isa

The Medical journal of Malaysia 2026;81(5):759-768

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Machine learning-based prediction of cross-immunity.

Vivien Erzsébet Resch, László Tóth, Anita Rácz, Dezső Virok, Gábor Paragi

Briefings in bioinformatics 2026;27(5):

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Beyond natural amino acids: extending immunogenicity risk assessment to modified peptides through chemical feature encoding. A case study on citrullination.

Maria Cairoli, Morten Nielsen, Catherine Betts, Olga Obrezanova, Leonardo De Maria

Frontiers in immunology 2026;17():1869623

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An efficient ranking deep neural network algorithm for the prediction of Ca2+ binding sites of the protein.

Pritee Parwekar, Samudrala Gourinath, Jaishree Jain, Shilpa Gundagatti, Jabir Ali, Punit Gupta, Asmir Butkovic

PloS one 2026;21(8):e0355853

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Risk Prediction Model for Frailty in Older Chinese Patients With Type 2 Diabetes Mellitus: A Systematic Review.

Liu Hongyu, Liu Qilan, Zhang Shuqing, Yang Jing, Tao Ming

Geriatrics & gerontology international 2026;26(9):e70826

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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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Risk factors and prediction model for early pregnancy loss in polycystic ovary syndrome - development and validation: A retrospective and observational study.

Jingqi Wu, Huifang Chen, Jie Zhang, Yongquan Chen

Medicine 2026;105(28):e49669

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Machine learning for discovering anticancer compounds from plants and elucidating their mechanisms.

Chenyu Zhang, Shanxue Jiang, Yushuang Li, Lizhen Ma

Journal of computer-aided molecular design 2026;40(1):

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Results: 1 – 15 / 17

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Results for ""Prediction Algorithms""[mesh_terms]

Predicting and Optimizing Zerumbone Content in Zingiber zerumbet Using Artificial Neural Network (ANN) Model: A Statistical Approach and Experimental Validation.

Evaluation of the Risk Prediction Model for Frailty in Diabetic Patients: A Systematic Review and Meta-Analysis.

Enhancing prediction accuracy for enzyme activity engineering through sequence co-evolution and epistatic relationship modeling.

Repetitive proteins that undergo large conformational changes evade structural prediction algorithms.

Risk prediction models for malnutrition in dialysis patients in China: a systematic review and meta-analysis.

PMAVP: A Mamba-Inspired Deep Learning Framework for Antiviral Peptide Identification and Functional Activity Prediction.

A machine learning framework for predicting and modulating condition-dependent protein phase separation.

Artificial intelligence driven prognostic models for predicting diabetic retinopathy risk in type 2 diabetes mellitus: A systematic review.

Machine learning-based prediction of cross-immunity.

Beyond natural amino acids: extending immunogenicity risk assessment to modified peptides through chemical feature encoding. A case study on citrullination.

An efficient ranking deep neural network algorithm for the prediction of Ca2+ binding sites of the protein.

Risk Prediction Model for Frailty in Older Chinese Patients With Type 2 Diabetes Mellitus: A Systematic Review.

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

Risk factors and prediction model for early pregnancy loss in polycystic ovary syndrome - development and validation: A retrospective and observational study.

Machine learning for discovering anticancer compounds from plants and elucidating their mechanisms.

Results for
""Prediction Algorithms""[mesh_terms]