AIMC Topic: Biosensing Techniques

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Label-Free Classification of L-Histidine Vs Artificial Human Sweat Using Laser Scribed Electrodes and a Multi-Layer Perceptron Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
A challenge in wearable technology lies in the realtime monitoring of molecular biomarkers associated with human health. Electrochemical sensors are one of the most useful tools for this purpose and are commonly used in health monitoring devices. Ele...
Biosensing Techniques Humans Electrochemical Techniques Sweat Histidine Multilayer Perceptrons Electrodes Lasers Neural Networks, Computer Algorithms
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Applications of artificial intelligence and machine learning in dynamic pathway engineering.

Biochemical Society transactions Oct 31, 2023
Dynamic pathway engineering aims to build metabolic production systems embedded with intracellular control mechanisms for improved performance. These control systems enable host cells to self-regulate the temporal activity of a production pathway in ...
Machine Learning Artificial Intelligence Metabolic Engineering Biosensing Techniques
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Barcodes, co-cultures, and deep learning take genetically encoded biosensor multiplexing to the nth degree.

Molecular cell Jan 20, 2022
Yang et al. (2021) describe a co-culture multiplexed imaging method that can provide an order of magnitude increase in the number of barcoded biosensors that can be imaged in a single experiment.
Deep Learning Biosensing Techniques Coculture Techniques
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Cell-Free Biosensors and AI Integration.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
Cell-free biosensors hold a great potential as alternatives for traditional analytical chemistry methods providing low-cost low-resource measurement of specific chemicals. However, their large-scale use is limited by the complexity of their developme...
Biosensing Techniques Artificial Intelligence
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Identification of spectral signature for in situ real-time monitoring of smoltification.

Applied optics May 10, 2021
We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an additional tool to verify the os...
Salmo salar Seawater Fresh Water Aquaculture Osmoregulation Electronic Data Processing Adaptation, Physiological Machine Learning Animals Biosensing Techniques
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Bio-inspired gas sensing: boosting performance with sensor optimization guided by "machine learning".

Faraday discussions Oct 23, 2020
The performance of existing gas sensors often degrades in field conditions because of the loss of measurement accuracy in the presence of interferences. Thus, new sensing approaches are required with improved sensor selectivity. We are developing a n...
Optics and Photonics Metal Nanoparticles Gases Biosensing Techniques Gold Machine Learning Reproducibility of Results
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Estimation of Sparse VAR Models with Artificial Neural Networks for the Analysis of Biosignals.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Vector autoregressive models (VAR models) are often used to model and to analyze multivariate time series, especially to provide short-term forecasts. A common method of estimating coefficients of these VAR models is solving the Yule- Walker equation...
Algorithms Neural Networks, Computer Computer Simulation Biosensing Techniques
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Applying machine learning to the flagellar motor for biosensing.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Escherichia coli detects and follows chemical gradients in its environment in a process known as chemotaxis. The performance of chemotaxis approaches fundamental biosensor speed and sensitivity limits, but there have been relatively few attempts to i...
Machine Learning Biosensing Techniques Aspartic Acid Escherichia coli Chemotaxis
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Post hoc support vector machine learning for impedimetric biosensors based on weak protein-ligand interactions.

The Analyst Apr 30, 2018
Impedimetric biosensors for measuring small molecules based on weak/transient interactions between bioreceptors and target analytes are a challenge for detection electronics, particularly in field studies or in the analysis of complex matrices. Prote...
Cell Phone Tsetse Flies Electric Impedance Insect Proteins Biosensing Techniques Acetone Software Support Vector Machine Ligands Animals Proteins
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A novel hand gesture recognition method based on 2-channel sEMG.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
Hand gesture recognition is getting more and more important in the area of rehabilitation and human machine interface (HMI). However, most current approaches are difficult to achieve practical application because of an excess of sensors. In this work...
Hand Pattern Recognition, Automated Biosensing Techniques Signal Processing, Computer-Assisted Humans Female Male Artificial Intelligence Neural Networks, Computer Adult Gestures Algorithms
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