ArticleBiomedical microdevices2023
Machine learning instructed microfluidic synthesis of curcumin-loaded liposomes.
Article in Biomedical microdevices, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 38 citations in OpenAlex.
- Deformable discoidal polymeric nanoconstructs: Design principles, therapeutic applications, and translational perspectives.Biomedical microdevices · 2026Review
- Liposomal Formulation of a Tetravalent Oxaliplatin Prodrug: Preparation and Antitumor Efficacy.Pharmaceutical research · 2026Article
- Integration of Artificial Intelligence and Microfluidics for Drug Delivery Applications.Micromachines · 2026Review
- Advanced herbal self-assembled nanoplatforms: targeted, stimuli-responsive, and precision therapeutics for human diseases.Journal of nanobiotechnology · 2026Review
- Machine learning reshapes the paradigm of nanomedicine research.Acta pharmaceutica Sinica. B · 2026Review
- Liposome Particle Size Prediction by In-Line Process Analytical Technology (PAT)-Integrated Machine Learning.Small methods · 2026Article
- AI-driven nanomedicine for cancer theranostics.Molecular cancer · 2026Review
- Machine learning empowered formulation design, optimization and characterization of nanoparticulate drug delivery systems: Current applications, challenges, and future perspectives.Acta pharmaceutica Sinica. B · 2026Review
- Advanced microfluidic techniques for the preparation of solid lipid nanoparticles: Innovations and biomedical applications.International journal of pharmaceutics: X · 2025Review
- Harnessing Microfluidics for the Effective and Precise Synthesis of Advanced Materials.Micromachines · 2025Review
- Machine learning-assisted microfluidic approach for broad-spectrum liposome size control.Journal of pharmaceutical analysis · 2025Article
- Biomimetic Magnetic Nanovesicles ("Magnetic Liposomes"): Current Synthesis Approaches and Biomedical Applications.Mini reviews in medicinal chemistry · 2025Review
- The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine.Pharmaceutical research · 2024Article
- Mechanisms and Barriers in Nanomedicine: Progress in the Field and Future Directions.ACS nano · 2024Article
- Vortex fluidic regulated phospholipid equilibria involving liposomes down to sub-micelle size assemblies.Nanoscale advances · 2024Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The association of machine learning (ML) tools with the synthesis of nanoparticles has the potential to streamline the development of more efficient and effective nanomedicines. The continuous-flow synthesis of nanoparticles via microfluidics represents an ideal playground for ML tools, where multiple engineering parameters - flow rates and mixing configurations, type and concentrations of the reagents - contribute in a non-trivial fashion to determine the resultant morphological and pharmacological attributes of nanomedicines. Here we present the application of ML models towards the microfluidic-based synthesis of liposomes loaded with a model hydrophobic therapeutic agent, curcumin. After generating over 200 different liposome configurations by systematically modulating flow rates, lipid concentrations, organic:water mixing volume ratios, support-vector machine models and feed-forward artificial neural networks were trained to predict, respectively, the liposome dispersity/stability and size. This work presents an initial step towards the application and cultivation of ML models to instruct the microfluidic formulation of nanoparticles.
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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.