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Graph neural networks-based prediction of drug gene association of P2X receptors in periodontal pain
Published 2024-05-01“…Despite achieving a 65 percent accuracy rate, the GNN model demonstrated suboptimal predictive power for gene-drug interactions associated with oral pain. …”
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NanoBinder: a machine learning assisted nanobody binding prediction tool using Rosetta energy scores
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Machine Learning for the Early Prediction of Delayed Cerebral Ischemia in Patients With Subarachnoid Hemorrhage: Systematic Review and Meta-Analysis
Published 2025-01-01“…Therefore, efficient, noninvasive, or minimally invasive low-cost predictors should be further explored in future studies to improve the prediction accuracy of ML models. Trial RegistrationPROSPERO (CRD42023438399); https://tinyurl.com/yfuuudde…”
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