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Machine Learning-Enhanced Engineering of Ultrahigh-Loading Polymer-Drug Assemblies with Programmable ROS-Triggered Release for Tumor Elimination

2026-02-03

Abstract excerpt

<title>Abstract</title> <p>Overcoming low solubility and bioavailability challenges is critical for enhancing therapeutic efficacy and reducing systemic toxicity of active pharmaceutical ingredients. Here, we describe the rational design of polysulfide nanocarriers that leverage optimized non-covalent polymer-drug interactions—specifically hydrogen bonding, π-interactions, and ion-pairing—to achieve ultrahigh loa...

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Literature Corpus work: 23669119-7803-556f-9478-ada6310ef407
DOI: 10.21203/rs.3.rs-8507915/v1

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Machine Learning-Enhanced Engineering of Ultrahigh-Loading Polymer-Drug Assemblies with Programmable ROS-Triggered Release for Tumor EliminationDOI 10.21203/rs.3.rs-8507915/v1Read

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