AIMC Topic: Nanoparticles

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Advances in Pharmaceutical Cocrystals and Nano-Cocrystals: Strategies for Enhancing Solubility and Translating to Clinical Use.

AAPS PharmSciTech
Poor oral bioavailability in most modern pharmaceuticals is primarily caused by poor aqueous solubility. Most NCEs (New Chemical Entities) and nearly 40% of drugs on the market fall into either Biopharmaceutical Classification System (BCS) class II o...

Meta-Analysis and Machine Learning Prediction of Protein Corona Composition across Nanoparticle Systems in Biological Media.

ACS nano
A comprehensive understanding of protein corona (PC) composition is critical for engineering nanoparticles (NPs) with optimal safety and therapeutic performance, because the PC governs NP pharmacokinetics, biodistribution, and cellular interactions. ...

Bioinspired Design and Functionalization of Pesticide Nanocarriers: From Synthesis Strategies to Foliar-Targeted Delivery Mechanisms.

Journal of agricultural and food chemistry
Traditional pesticide formulations suffer from poor adhesion and limited deposition efficiency, causing overuse and ecological risks. Functional nanocarriers present a promising solution by leveraging bioinspired adhesive and structural topographies ...

Prediction of high-performing spleen-targeted lipid nanoparticles using a deep learning model for robust anticancer immunotherapy.

Journal of materials chemistry. B
Messenger RNA (mRNA) therapeutics hold significant potential across a wide range of medical applications. LNPs are the most clinically advanced mRNA delivery vehicles, but challenges such as off-target effects and liver accumulation limit their broad...

Recent Advances in Diagnostic Strategies and Nanotechnology-Based Therapies for Ovarian Cancer Treatment.

ACS applied bio materials
Ovarian cancer is a global silent killer in women and is the second most common cause of gynecologic cancer-related deaths. Despite significant research and advances in treatment, ovarian cancer treatment remains a challenge, as it is diagnosed in an...

AI-Validated Brain Targeted mRNA Lipid Nanoparticles with Neuronal Tropism.

ACS nano
Targeting therapeutic nanoparticles to the brain poses a challenge due to the restrictive nature of the blood-brain barrier (BBB). Here we report the development of mRNA-loaded lipid nanoparticles (LNPs) functionalized with BBB-interacting small mole...

TuNa-AI: A Hybrid Kernel Machine To Design Tunable Nanoparticles for Drug Delivery.

ACS nano
Artificial intelligence (AI) has the potential to transform nanoparticle development for drug delivery; however, existing strategies typically optimize either material selection or component ratios in isolation. To enable simultaneous optimization of...

A Machine Learning Assisted Tool and Numerical Model for Analyzing Lipid Nanoparticles.

ACS nano
The transfection potency and biological fate of gene-loaded lipid nanoparticles (LNPs) are often determined by their morphological and physicochemical properties. Cryogenic-electron microscopy (cryo-EM) remains the most effective tool to analyze LNP ...

Hollow polydopamine for the enhanced ultrasensitive dual-modal immunochromatographic detection of Salmonella typhimurium in dairy products via machine learning.

Mikrochimica acta
Salmonella typhimurium (S. typhimurium) A dual-mode colorimetric/photothermal immunochromatographic strip (ICS) employing hollow polydopamine nanoparticles (h-PDA) is reported for the ultrasensitive detection of Salmonella typhimurium (S. typhimurium...

Adipocyte-selective mRNA lipid nanoparticles for cell programming with machine learning analysis.

Journal of controlled release : official journal of the Controlled Release Society
Adipose tissue plays a crucial role in energy metabolism and endocrine signaling. White adipose tissue (WAT), in particular, is a compelling target for therapeutic interventions in metabolic diseases due to its secretory capacity and abundance. Gene ...