AIMC Topic: Nanoparticles
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Predicting PLGA nanoparticle size and zeta potential in synthesis for application of drug delivery via machine learning analysis.
Scientific reports
Jul 1, 2025
This study employed multiple machine learning (ML) methods to model and predict key attributes of PLGA nanoparticles, specifically particle size and zeta potential. The predictions were based on input variables, including PLGA polymer type, PLGA conc...
Detection of Polystyrene Microplastics up to the Single Nanoparticle Limit Using SERS and Advanced ANN Design (KANformer).
ACS sensors
Jun 25, 2025
Due to uncontrolled release, gradual accumulation, low degradation rate, and potential negative impact on human health, microplastics (MPs) pose a serious environmental and healthcare risk. Thus, the spread of MPs should be at least carefully monitor...
Identification of Polymeric Nanoparticles Using Strategic Peptide Sensor Configurations and Machine Learning.
ACS sensors
Jun 21, 2025
Environmental pollution by miniaturized plastics such as micro- and nanoplastics continues to escalate, posing serious risks to ecosystems and human health. Therefore, there is an urgent need to detect or identify the plastics. Although the technique...
Next-generation cancer therapeutics: unveiling the potential of liposome-based nanoparticles through bioinformatics.
Mikrochimica acta
Jun 16, 2025
Cancer remains one of the most deadly diseases in the world, requiring constant growth and improvements in therapeutic strategies. Traditional cancer treatments, such as chemotherapy, radiotherapy, and surgery, have limitations like off-target releas...
Engineered multi-domain lipid nanoparticles for targeted delivery.
Chemical Society reviews
Jun 16, 2025
Engineered lipid nanoparticles (LNPs) represent a breakthrough in targeted drug delivery, enabling precise spatiotemporal control essential to treat complex diseases such as cancer and genetic disorders. However, the complexity of the delivery proces...
In situ foliar augmentation of multiple species for optical phenotyping and bioengineering using soft robotics.
Science robotics
Jun 11, 2025
Precision agriculture aims to increase crop yield while reducing the use of harmful chemicals, such as pesticides and excess fertilizer, using minimal, tailored interventions. However, these strategies are limited by factors such as sensor quality, w...
Tracheal Targeted Nanogrid Delivery Systems of Dexamethasone Visualized by Single-Particle Tracing and Multiscale Pathological Mapping.
ACS nano
Jun 4, 2025
Current clinical treatment of pulmonary diseases requires an advanced three-dimensional (3D) pathological atlas of the microenvironment, particularly the trachea, which is predominantly affected by lung disorders. In this study, the gridded cyclodext...
Rational Design of Safer Inorganic Nanoparticles via Mechanistic Modeling-Informed Machine Learning.
ACS nano
Jun 3, 2025
The safety of inorganic nanoparticles (NPs) remains a critical challenge for their clinical translation. To address this, we developed a machine learning (ML) framework that predicts NP toxicity both and , leveraging physicochemical properties and e...
Flow and heat transfer of Poly Dispersed SiO2 Nanoparticles in Aqueous Glycerol in a Horizontal pipe: Application of ensemble and evolutionary machine learning for model-prediction.
PloS one
Jun 3, 2025
Stable nanofluid dispersion with SiO2 particles of 15, 50, and 100 nm is generated in a base liquid composed of water and glycerol in a 7:3 ratio and tested for physical characteristics in the temperature range of 20-100oC. The nanofluid showed excel...
Nucleic acid spheres for treating capillarisation of liver sinusoidal endothelial cells in liver fibrosis.
Nature communications
May 15, 2025
Liver sinusoidal endothelial cells (LSECs) lose their characteristic fenestrations and become capillarized during the progression of liver fibrosis. Mesenchymal stem cell (MSC) transplantation can reverse this capillarization and reduce fibrosis, but...
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