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Computational and Structural Biotechnology Journal|January 4, 2024
Unsupervised machine learning for risk stratification and identification of relevant subgroups of ascending aorta dimensions using cardiac CT and clinical dataMario Zanfardino, Bruna Punzo, Erica Maffei, et al.
Computational and Structural Biotechnology Journal|January 3, 2024
Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus predictionAlain Hennebelle, Leila Ismail, Huned Materwala, et al.
Computational and Structural Biotechnology Journal|June 22, 2026
Beyond Random Splits: Assessing the Generalization of Graph and Vector Models for WT-Structure-Only Drug Resistance Prediction under Protein-Disjoint EvaluationZongrui Cheng, Haoxin Wu, Dengming Ming
Computational and Structural Biotechnology Journal|September 30, 2020
Artificial intelligence (AI) and big data in cancer and precision oncologyZodwa Dlamini, Flavia Zita Francies, Rodney Hull, et al.
Computational and Structural Biotechnology Journal|June 30, 2026
Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein DesignJonathan Feldman, Maximilian Brogi, Jeffrey Skolnick
Computational and Structural Biotechnology Journal|July 1, 2026
A Large Concept Model for Mechanistic Simulation of Disease Trajectories: A Hypothesis-Generating Exemplar for Pediatric Acute Lymphoblastic LeukemiaWayne R Danter
Computational and Structural Biotechnology Journal|July 1, 2026
From Pixels to Patterns: A Multidimensional Framework to Decode Cytoskeletal OrganizationDiogo Fróis Vieira, Joana Figueiredo, João Sanches
Computational and Structural Biotechnology Journal|July 8, 2026
Experimental and Mechanistic Validation of PARP1pred for Identifying Potent LeadsSermsiri Chitphuk, Wasana Stitchantrakul, Rakkreat Wikiniyadhanee, et al.
Computational and Structural Biotechnology Journal|July 15, 2026
MiracleNet: A Biologically Interpretable Machine Learning Model for Resected Non-small-cell Lung CancerRashika Jakhmola, David A Selby, Mert Cihan, et al.
Computational and Structural Biotechnology Journal|July 24, 2026
In Silico Modeling of Nanoparticle Transport across the Blood-Brain Barrier: A Systematic ReviewQianqian Xia, S H B Herath Mudiyanselage, Sébastien Lafond, et al.
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