AIMC Topic: Nanoparticles

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Thiol modified bimodal mesoporous silica nanoparticles for removal and determination toxic vanadium from air and human biological samples in petrochemical workers.

NanoImpact
Investigation of exposure to toxic vanadium (V) in petrochemical workers is very important for human health, and it must be removed and determined in workplace air and human biological samples. In this research, the enriched adsorbent based on the th...

Combining machine learning and nanopore construction creates an artificial intelligence nanopore for coronavirus detection.

Nature communications
High-throughput, high-accuracy detection of emerging viruses allows for the control of disease outbreaks. Currently, reverse transcription-polymerase chain reaction (RT-PCR) is currently the most-widely used technology to diagnose the presence of SAR...

Deep Learning-Enhanced Nanopore Sensing of Single-Nanoparticle Translocation Dynamics.

Small methods
Noise is ubiquitous in real space that hinders detection of minute yet important signals in electrical sensors. Here, the authors report on a deep learning approach for denoising ionic current in resistive pulse sensing. Electrophoretically-driven tr...

Deep learning-based predictive identification of neural stem cell differentiation.

Nature communications
The differentiation of neural stem cells (NSCs) into neurons is proposed to be critical in devising potential cell-based therapeutic strategies for central nervous system (CNS) diseases, however, the determination and prediction of differentiation is...

Deep-learning models for lipid nanoparticle-based drug delivery.

Nanomedicine (London, England)
Early prediction of time-lapse microscopy experiments enables intelligent data management and decision-making. Using time-lapse data of HepG2 cells exposed to lipid nanoparticles loaded with mRNA for expression of GFP, the authors hypothesized that...

Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation.

Small methods
Nanoparticles occur in various environments as a consequence of man-made processes, which raises concerns about their impact on the environment and human health. To allow for proper risk assessment, a precise and statistically relevant analysis of pa...

Screening of critical variables in fabricating polycaprolactone nanoparticles using Neuro Fuzzy Logic.

International journal of pharmaceutics
In this work, we used the artificial intelligence tool known as neurofuzzy logic (NFL) for fabricating uniform nanoparticles of polycaprolactone by the nanoprecipitation method with a focus on stabilizer selection. The adaptability of NFL assisted th...

Biohybrid robotics: From the nanoscale to the macroscale.

Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
Biohybrid robotics is a field in which biological entities are combined with artificial materials in order to obtain improved performance or features that are difficult to mimic with hand-made materials. Three main level of integration can be envisio...

A deep learning approach using synthetic images for segmenting and estimating 3D orientation of nanoparticles in EM images.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Nanoparticles present properties that can be applied to a wide range of fields such as biomedicine, electronics or optics. The type of properties depends on several characteristics, being some of them related with the partic...

Janus-like Jagged Structure with Nanocrystals for Self-Sorting Wearable Tactile Sensor.

ACS applied materials & interfaces
In this study, a self-sorting sensor was developed with the ability to distinguish between different pressure regimes and translate the pressure to electrical signals. Specifically, the self-sorting sensor can distinguish between soft and hard pressu...