AIMC Topic: Neural Networks, Computer

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Attention-based cross domain graph neural network for prediction of drug-drug interactions.

Briefings in bioinformatics
Drug-drug interactions (DDI) may lead to adverse reactions in human body and accurate prediction of DDI can mitigate the medical risk. Currently, most of computer-aided DDI prediction methods construct models based on drug-associated features or DDI ...

A marker-based neural network system for extracting social determinants of health.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The impact of social determinants of health (SDoH) on patients' healthcare quality and the disparity is well known. Many SDoH items are not coded in structured forms in electronic health records. These items are often captured in free-text...

Molecular language models: RNNs or transformer?

Briefings in functional genomics
Language models have shown the capacity to learn complex molecular distributions. In the field of molecular generation, they are designed to explore the distribution of molecules, and previous studies have demonstrated their ability to learn molecule...

Simultaneous Quantitative Analysis of Salmeterol and Fluticasone in Inhalation Spray Using HPLC and a Fast Spectrophotometric Technique Combined with a Time Series Neural Network and Multivariate Calibration Methods.

Journal of AOAC International
BACKGROUND: Chromatographic methods have been used for the simultaneous determination of salmeterol (SMT) and fluticasone (FLU). The methods take a lot of analysis time, need sample pre-treatment and large amounts of solvents, and are costly.

Toward a general neural network force field for protein simulations: Refining the intramolecular interaction in protein.

The Journal of chemical physics
Molecular dynamics (MD) is an extremely powerful, highly effective, and widely used approach to understanding the nature of chemical processes in atomic details for proteins. The accuracy of results from MD simulations is highly dependent on force fi...

Image classification of Chinese medicinal flowers based on convolutional neural network.

Mathematical biosciences and engineering : MBE
BACKGROUND AND OBJECTIVE: Traditional Chinese medicine has used many herbs on the prevention and treatment of diseases for thousands of years. However, many flowers are poisonous and only few herbs have medicinal properties. Relying on experts for he...

Neural Networks for Navigation: From Connections to Computations.

Annual review of neuroscience
Many animals can navigate toward a goal they cannot see based on an internal representation of that goal in the brain's spatial maps. These maps are organized around networks with stable fixed-point dynamics (attractors), anchored to landmarks, and r...

Research on motion recognition based on multi-dimensional sensing data and deep learning algorithms.

Mathematical biosciences and engineering : MBE
Motion recognition provides movement information for people with physical dysfunction, the elderly and motion-sensing games production, and is important for accurate recognition of human motion. We employed three classical machine learning algorithms...

Clinical Investigation of a Rapid Non-invasive Multispectral Imaging Device Utilizing an Artificial Intelligence Algorithm for Improved Burn Assessment.

Journal of burn care & research : official publication of the American Burn Association
Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Contributing to this problem are change in burn appearance throughout the first week requiring periodic evaluation until a confident diagnosis can be made...

The developmental trajectory of object recognition robustness: Children are like small adults but unlike big deep neural networks.

Journal of vision
In laboratory object recognition tasks based on undistorted photographs, both adult humans and deep neural networks (DNNs) perform close to ceiling. Unlike adults', whose object recognition performance is robust against a wide range of image distorti...