AIMC Topic: Gold
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Raman spectroscopy combined with deep learning for rapid detection of melanoma at the single cell level.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Oct 23, 2022
Melanoma is an aggressive and metastatic skin cancer caused by genetic mutations in melanocytes, and its incidence is increasing year by year. Understanding the gene mutation information of melanoma cases is very important for its precise treatment. ...
Light-driven microrobots: capture and transport of bacteria and microparticles in a fluid medium.
Journal of materials chemistry. B
Oct 19, 2022
The design of simple microrobotic systems with capabilities to address various applications like cargo transportation, as well as biological sample capture and manipulation in an individual unit, provides a novel route for designing advanced multifun...
Viscosity Measurement in Biocondensates Using Deep-Learning-Assisted Single-Particle Rotational Analysis.
The journal of physical chemistry. B
Sep 21, 2022
Viscoelastic characterization is of great importance for the investigation of biomolecular condensates. Single-particle-tracking-based rotational diffusion analysis of single nanorods is an effective approach for quantitative viscosity measurement. H...
Deep Learning-Based Sensor Array: 3D Fluorescence Spectra of Gold Nanoclusters for Qualitative and Quantitative Analysis of Vitamin B Derivatives.
Analytical chemistry
Jun 18, 2022
Vitamin B derivatives (VB6Ds) are of great importance for all living organisms to complete their physiological processes. However, their excess in the body can cause serious problems. What is more, the qualitative and quantitative analysis of differe...
Real-time 3D optoacoustic tracking of cell-sized magnetic microrobots circulating in the mouse brain vasculature.
Science advances
May 11, 2022
Mobile microrobots hold remarkable potential to revolutionize health care by enabling unprecedented active medical interventions and theranostics, such as active cargo delivery and microsurgical manipulations in hard-to-reach body sites. High-resolut...
A Novel Bitcoin and Gold Prices Prediction Method Using an LSTM-P Neural Network Model.
Computational intelligence and neuroscience
May 5, 2022
As a result of the fast growth of financial technology and artificial intelligence around the world, quantitative algorithms are now being employed in many classic futures and stock trading, as well as hot digital currency trades, among other applica...
Automated detection of posterior restorations in permanent teeth using artificial intelligence on intraoral photographs.
Journal of dentistry
Apr 5, 2022
OBJECTIVES: Intraoral photographs might be considered the machine-readable equivalent of a clinical-based visual examination and can potentially be used to detect and categorize dental restorations. The first objective of this study was to develop a ...
Can Hyperspectral Imaging and Neural Network Classification Be Used for Ore Grade Discrimination at the Point of Excavation?
Sensors (Basel, Switzerland)
Mar 31, 2022
This work determines whether hyperspectral imaging is suitable for discriminating ore from waste at the point of excavation. A prototype scanning system was developed for this study. This system combined hyperspectral cameras and a three-dimensional ...
Actuation-Augmented Biohybrid Robot by Hyaluronic Acid-Modified Au Nanoparticles in Muscle Bundles to Evaluate Drug Effects.
ACS sensors
Feb 9, 2022
Biohybrid robots, which comprise soft materials with biological components, have the potential to sense, respond, and adapt to changing environmental loads dynamically. Instead of humans and other living things, biohybrid robots can be used in variou...
A New Approach to Predicting Cryptocurrency Returns Based on the Gold Prices with Support Vector Machines during the COVID-19 Pandemic Using Sensor-Related Data.
Sensors (Basel, Switzerland)
Sep 21, 2021
In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting the cryptocurrency returns, ...
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