Polymer biosensors

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• Published Subscription Original Research Special issue 12 May 2026

  Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification

  By Deepika Yadav, Aarti Sehwag, Heena Kwatra, Nitasha Rathore, Amrita Ticku, Jyotsna

  Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article →