AIMC Topic: Nanoparticles

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Machine learning-assisted design of immunomodulatory lipid nanoparticles for delivery of mRNA to repolarize hyperactivated microglia.

Drug delivery
Regulating inflammatory microglia presents a promising strategy for treating neurodegenerative and autoimmune disorders, yet effective therapeutic agents delivery to these cells remains a challenge. This study investigates modified lipid nanoparticle...

Applications of artificial intelligence and nanotechnology in vaccine development.

International journal of pharmaceutics
Vaccines have long been crucial in safeguarding public health by preventing and controlling infectious diseases. However, traditional vaccine development methods face challenges in efficiency, cost, and response time to emerging pathogens. Recent pro...

Toxicity of nanoplastics: machine learning combined with meta-analysis.

Nanoscale horizons
Nanoplastics (NPs) are widespread in ecosystems, and their biohazards are of increasing concern. The hazards posed by NPs to aquatic and terrestrial plants as well as to aquatic animals have been extensively studied; however, their impact on mammals ...

Broadly active intranasal influenza vaccine with a nanocomplex particulate adjuvant targeting mast cells and toll-like receptor 9.

Journal of controlled release : official journal of the Controlled Release Society
Flumist is the only FDA-approved intranasal influenza vaccine. Although it has recently been approved for at-home use, it has significant limitations. These include reduced effectiveness in generating a protective immune response in patients with ext...

Serum-Based Detection of Pancreatic and Ovarian Cancer via a Nanoparticle-Enhanced Fluorescence Array and Machine Learning.

Analytical chemistry
: Early detection of oncological diseases such as pancreatic ductal adenocarcinoma (PDAC) and ovarian cancer (OV) is pivotal for successful treatment but remains a significant challenge due to the lack of sensitive and specific diagnostic tests. Fluo...

A Closed-Loop Environmental Health Management Platform: A Multifunctional MgFeO Nanoparticle Enabling AI-Enhanced Detection, Bioimaging, and Degradation of Tetracycline Antibiotics.

Analytical chemistry
Emerging pollutants such as tetracycline antibiotics (TCs) have garnered attention due to their ecological impacts and the evolution of drug resistance. However, the comprehensive monitoring of TCs remains inadequate. This study presents a multifunct...

Machine learning-driven nanoparticle toxicity.

Ecotoxicology and environmental safety
This study presents a comprehensive machine learning-driven analysis to understand and predict the toxicity of nanoparticles (NPs), a crucial aspect in ensuring the safe application of nanotechnology in medicine, pharmaceuticals, biotechnology, and v...

Extracellular vesicles as nature's nano carriers in cancer therapy: Insights toward preclinical studies and clinical applications.

Pharmacological research
Extracellular vesicles (EVs), which are secreted by various cell types, hold significant potential for cancer therapy. However, there are several challenges and difficulties that limit their application in clinical settings. This review, which integr...

Nanotechnology-Enhanced siRNA Delivery: Revolutionizing Cancer Therapy.

ACS applied bio materials
RNA interference (RNAi) has emerged as a transformative approach for cancer therapy, enabling precise gene silencing through small interfering RNA (siRNA). However, the clinical application of siRNA-based treatments faces challenges such as rapid deg...

Machine learning-guided fabrication of carbon dot-pepsin nano-conjugates for enhanced bioimaging, synergistic drug delivery, and visible light-induced photosensitization.

Nanoscale
Carbon dots (CDs) are emerging as next-generation bioimaging agents due to their strong fluorescence, photobleaching resistance, and biocompatibility. However, their small size often limits efficient cell internalization, leading to unspecified cellu...