Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization DOI
Xuqi Peng,

Haitian Tang,

Zhenwen Zhao

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

Abstract Microrobots for endovascular embolization face challenges in precise delivery within dynamic blood vessels. Here, an intelligent generic high‐throughput oscillatory shear technology (iGHOST) is proposed to fabricate diversely programmable, multifunctional microrobots capable of real‐time visual guidance vivo embolization. Leveraging machine learning (ML), key synthesis parameters affecting the success and sphericity are identified. Therefore, ML‐optimized iGHOST enables continuous production uniform with programmable sizes (400−1000 µm) at ultrahigh rate exceeding 240 mL h −1 by segmenting fluid into droplets before ionic cross‐linking, without requiring purification. Particularly, iGHOST‐fabricated magnetically responsive lipiodol‐calcium alginate (MagLiCA) highly distinguishable under X‐ray imaging, which allows navigation flows up 4 min accurate liver kidney vessels, thus addressing current issues. Crucially, MagLiCA possess drug‐loading capabilities, enabling simultaneous site‐specific treatment. The process intelligent, rapid, green manufacturing method, can produce size‐controllable, potential drug treatment imaging across various medical applications.

Language: Английский

Optimizing interventional therapy: A homogeneous lipiodol formulation of Tirapazamine and Sorafenib responsive to post-embolization microenvironment DOI
Xing Gao, Hongwei Cheng, Minglei Teng

et al.

Journal of Controlled Release, Journal Year: 2025, Volume and Issue: 379, P. 879 - 889

Published: Jan. 30, 2025

Language: Английский

Citations

0
Advanced Disease Therapeutics Using Engineered Living Drug Delivery Systems DOI
Narsimha Mamidi,

Fátima Franco De Silva,

Amin Orash Mahmoud Salehi

et al.

Nanoscale, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Biological barriers significantly impede the delivery of nanotherapeutics to diseased tissues, diminishing therapeutic efficacy across pathologies such as cancer and inflammatory disorders. Although conventional strategies integrate multifunctional designs molecular components into nanomaterials (NMs), many approaches remain insufficient overcome these barriers. Key challenges, including inadequate drug accumulation at target sites nonspecific biodistribution, persist in nanotherapeutic development. NMs, which harness ability precisely modulate spatiotemporally control release kinetics, represent a transformative platform for targeted therapy. In this review, we highlight biological obstacles limiting effective treatment evaluate how stimuli-responsive NMs address constraints. By leveraging exogenous endogenous stimuli, improve specificity, reduce off-target effects, amplify activity within pathological microenvironments. We systematically analyze rational design synthesis driven by advances oncology, biomaterials science, nanoscale engineering. Furthermore, NM classes-including polymeric, lipid-based, inorganic, hybrid systems explore functionalization using targeting ligands, antibodies, biomimetic coatings. Diverse are evaluated, small-molecule prodrug activation, peptide- protein-based targeting, nucleic acid payloads, engineered cell-mediated transport. Despite promise challenges biocompatibility, scalable fabrication, clinical translation must be addressed. elucidating structure-function relationships refining stimulus-triggered mechanisms, pave way precision oncology strategies, enabling patient-specific therapies with enhanced safety. This interdisciplinary insights aims catalyze innovation next-generation nanomedicine treatment.

Language: Английский

Citations

0
Improved Solubility Predictions in scCO2 Using Thermodynamics-Informed Machine Learning Models DOI
Dmitriy M. Makarov, Nikolai N. Kalikin, Yury A. Budkov

et al.

Journal of Chemical Information and Modeling, Journal Year: 2025, Volume and Issue: unknown

Published: April 15, 2025

Accurate solubility prediction in supercritical carbon dioxide (scCO2) is crucial for optimizing experimental design by eliminating unnecessary and costly trials at an early stage, thereby streamlining the workflow. A comprehensive database containing 31,975 records has been compiled, providing a foundation developing predictive models applicable to diverse class of chemical compounds, with particular focus on drug-like substances. In this study, we propose domain-aware machine learning approach that incorporates thermodynamic properties governing phase transitions predictions scCO2. Predictive were developed using CatBoost algorithm graph-based architecture employing directed message passing identify most effective approach. Furthermore, auxiliary solute, including melting point, critical parameters, enthalpy vaporization, Gibbs free energy solvation, predicted as part work. The findings underscore efficacy incorporating domain-specific features enhance accuracy scCO2 modeling. interpretation applicability domain assessment have confirmed qualitative selection employed descriptors, demonstrating their ability generalize unique compounds fall outside defined domain.

Language: Английский

Citations

0
Particulate platform for pulmonary drug delivery: Recent advances of formulation and fabricating strategies DOI
Zhibin Zhang, Mengya Jin, Xinyu Yang

et al.

International Journal of Pharmaceutics, Journal Year: 2025, Volume and Issue: unknown, P. 125601 - 125601

Published: April 1, 2025

Language: Английский

Citations

0
Optimizing Niclosamide for Cancer Therapy: Improving Bioavailability via Structural Modification and Nanotechnology DOI Open Access

Robert E. Wiggins,

Jonathan C. G. Woo,

Shizue Mito

et al.

Cancers, Journal Year: 2024, Volume and Issue: 16(20), P. 3548 - 3548

Published: Oct. 21, 2024

Inhibition of multiple cancer-related pathways has made niclosamide a promising candidate for the treatment various cancers. However, its clinical application been significantly limited by poor bioavailability. This review will discuss current findings on improving bioavailability through modification chemical structure and utilization novel nanotechnologies, like electrospraying supercritical fluids, to improve drug delivery. For example, derivatives, such as o-alkylamino-tethered derivates, ethanolamine salt, piperazine have demonstrated increased water solubility without compromising anticancer activity in vitro. Additionally, this briefly discusses recent first pass metabolism vivo, role cytochrome P450-mediated hydroxylation, UDP-glucuronosyltransferase mediated glucuronidation, how enzymatic inhibition could enhance Ultimately, there is need researchers synthesize, evaluate, upon derivatives while experimenting with employment targeted delivery nanoparticle modification, way administration. Researchers should strive drug-target accuracy, therapeutic index, increase drug's efficacy an anti-neoplastic agent.

Language: Английский

Citations

1
Intelligent Generic High‐Throughput Oscillatory Shear Technology Fabricates Programmable Microrobots for Real‐Time Visual Guidance During Embolization DOI
Xuqi Peng,

Haitian Tang,

Zhenwen Zhao

et al.

Small, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 15, 2024

Abstract Microrobots for endovascular embolization face challenges in precise delivery within dynamic blood vessels. Here, an intelligent generic high‐throughput oscillatory shear technology (iGHOST) is proposed to fabricate diversely programmable, multifunctional microrobots capable of real‐time visual guidance vivo embolization. Leveraging machine learning (ML), key synthesis parameters affecting the success and sphericity are identified. Therefore, ML‐optimized iGHOST enables continuous production uniform with programmable sizes (400−1000 µm) at ultrahigh rate exceeding 240 mL h −1 by segmenting fluid into droplets before ionic cross‐linking, without requiring purification. Particularly, iGHOST‐fabricated magnetically responsive lipiodol‐calcium alginate (MagLiCA) highly distinguishable under X‐ray imaging, which allows navigation flows up 4 min accurate liver kidney vessels, thus addressing current issues. Crucially, MagLiCA possess drug‐loading capabilities, enabling simultaneous site‐specific treatment. The process intelligent, rapid, green manufacturing method, can produce size‐controllable, potential drug treatment imaging across various medical applications.

Language: Английский

Citations

1