AIMC Topic: Nanoparticles
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Enhanced Nanoparticle Recognition via Deep Learning-Accelerated Plasmonic Sensing.
Biosensors
Jul 26, 2024
Surface plasmon microscopy proves to be a potent tool for capturing interferometric scattering imaging data of individual particles at both micro and nanoscales, offering considerable potential for label-free analysis of bio-particles and bio-molecul...
AGILE platform: a deep learning powered approach to accelerate LNP development for mRNA delivery.
Nature communications
Jul 26, 2024
Ionizable lipid nanoparticles (LNPs) are seeing widespread use in mRNA delivery, notably in SARS-CoV-2 mRNA vaccines. However, the expansion of mRNA therapies beyond COVID-19 is impeded by the absence of LNPs tailored for diverse cell types. In this ...
Machine Learning-Assisted High-Throughput Identification and Quantification of Protein Biomarkers with Printed Heterochains.
Journal of the American Chemical Society
Jul 1, 2024
Advanced in vitro diagnosis technologies are highly desirable in early detection, prognosis, and progression monitoring of diseases. Here, we engineer a multiplex protein biosensing strategy based on the tunable liquid confinement self-assembly of mu...
Biohybrid microrobots regulate colonic cytokines and the epithelium barrier in inflammatory bowel disease.
Science robotics
Jun 26, 2024
Cytokines have been identified as key contributors to the development of inflammatory bowel disease (IBD), yet conventional treatments often prove inadequate and carry substantial side effects. Here, we present an innovative biohybrid robotic system,...
The role of artificial intelligence and data science in nanoparticles development: a review.
Nanomedicine (London, England)
Jun 21, 2024
Artificial intelligence has revolutionized many sectors with unparalleled predictive capabilities supported by machine learning (ML). So far, this tool has not been able to provide the same level of development in pharmaceutical nanotechnology. This ...
Exploratory mapping of tumor associated macrophage nanoparticle article abstracts using an eLDA topic modeling machine learning approach.
PloS one
Jun 18, 2024
The role of macrophages in regulating the tumor microenvironment has spurned the exponential generation of nanoparticle targeting technologies. With the large amount of literature and the speed at which it is generated it is difficult to remain curre...
Nose-to-Brain Drug Delivery and Physico-Chemical Properties of Nanosystems: Analysis and Correlation Studies of Data from Scientific Literature.
International journal of nanomedicine
Jun 11, 2024
BACKGROUND: In the last few decades, nose-to-brain delivery has been investigated as an alternative route to deliver molecules to the Central Nervous System (CNS), bypassing the Blood-Brain Barrier. The use of nanotechnological carriers to promote dr...
A large-scale machine learning analysis of inorganic nanoparticles in preclinical cancer research.
Nature nanotechnology
May 15, 2024
Owing to their distinct physical and chemical properties, inorganic nanoparticles (NPs) have shown promising results in preclinical cancer therapy, but designing and engineering them for effective therapeutic purposes remains a challenge. Although a ...
Accelerating ionizable lipid discovery for mRNA delivery using machine learning and combinatorial chemistry.
Nature materials
May 13, 2024
To unlock the full promise of messenger (mRNA) therapies, expanding the toolkit of lipid nanoparticles is paramount. However, a pivotal component of lipid nanoparticle development that remains a bottleneck is identifying new ionizable lipids. Here we...
Engineering mannose-functionalized nanostructured lipid carriers by sequential design using hybrid artificial intelligence tools.
Drug delivery and translational research
May 9, 2024
Nanostructured lipid carriers (NLCs) hold significant promise as drug delivery systems (DDS) owing to their small size and efficient drug-loading capabilities. Surface functionalization of NLCs can facilitate interaction with specific cell receptors,...
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