ArticleScientific data2025
A dataset on formulation parameters and characteristics of drug-loaded PLGA microparticles.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- A Machine Learning Platform for Imputing Missing Critical Quality Attributes in Pharmaceutical Development.The AAPS journal · 2026Article
- Machine-Learning-Driven Optimization of Functional Excipients and Their Biointeractions in Drug Formulations.ACS pharmacology & translational science · 2026Review
- MC-NODE: A Mechanism-Decomposed Neural Differential Model for PLGA Microsphere Drug Release Prediction and Attribution.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Diagnosing the Information Limits of In Vitro Drug Release from PLGA Microparticle Data.Pharmaceutics · 2026Article
- Predicting early and complete drug release from long-acting injectables using explainable machine learning.International journal of pharmaceutics · 2026Article
- Interpretable Two-Stage Machine Learning for Early and Full Drug Release Prediction in PLGA Microspheres.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Review
- Predicting Early and Complete Drug Release from Long-Acting Injectables Using Explainable Machine Learning.ArXiv · 2026Article
- PLGA-Based Co-Delivery Nanoformulations: Overview, Strategies, and Recent Advances.Pharmaceutics · 2025Review
- MakingInternational journal of pharmaceutics: X · 2025Article
- Designing GLP-1 delivery: structural perspectives and formulation approaches for optimized therapy.Nutrition & diabetes · 2025Review
- A formulation dataset of poly(lactide-co-glycolide) nanoparticles for small molecule delivery.Scientific data · 2025Article
- A dataset on formulation parameters and characteristics of drug-loaded PLGA microparticles.Scientific data · 2025Article
- Machine Learning for Predicting Drug Release Behavior of PLGA Microspheres.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polymer microparticles (MPs) are widely used to create long-acting injectable formulations due to their ability to enable sustained drug release. This feature can significantly benefit chronic disease management by reducing dosing frequency and improving patient adherence. To support the design and development of polymer MPs, we have compiled a dataset on MPs formed from poly(lactide-co-glycolide) (PLGA), the most commonly used polymer in commercial MP drug products. This dataset, derived from the literature, covers 321 in vitro release studies involving 89 different drugs. It aims to streamline future MP development by providing a reference for the current PLGA MP design space and supporting data-driven approaches such as machine learning. Published with open access, this dataset encourages broad utilization and aims to expand the range of available MP formulations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.