Prescriptions

HDI Highlighter, The First Intelligent Tool to Screen the Literature on Herb-Drug Interactions.

Herbal food supplements are commonly used and can be an important part of patient self-care. Like all other bio-active and therapeutic products, they have a benefit/risk balance. These products are not without adverse effects and potentially interact with other therapies. Educating patients and providing information for health professionals about the risk of herb-drug interactions is key. One of t...

Agrobot Lala-An Autonomous Robotic System for Real-Time, In-Field Soil Sampling, and Analysis of Nitrates.

This paper presents an autonomous robotic system, an unmanned ground vehicle (UGV), for in-field soil sampling and analysis of nitrates. Compared to standard methods of soil analysis it has several advantages: each sample is individually analyzed compared to average sample analysis in standard methods; each sample is georeferenced, providing a map for precision base fertilizing; the process is ful...

Design of Sports Training Simulation System for Children Based on Improved Deep Neural Network.

With the development of AI technology, human-computer interaction technology is no longer the traditional mouse and keyboard interaction. AI and VR ha...

Ultrasonic Image Feature Analysis under Deep Learning Algorithm to Evaluate the Efficacy of Drug-Coated Balloon for Treatment of Arteriosclerotic Occlusion.

In order to explore the adoption of ultrasonic images under deep learning (DL) algorithm to evaluate the efficacy of drug-coated balloon (DCB) for tre...

Analysis of the Effect of Artificial Intelligence on Role Cognition in the Education System.

Taking the entire education system in Taiyuan City, Shanxi Province, Central China, as an example, this paper uses the questionnaire survey method to ...

idse-HE: Hybrid embedding graph neural network for drug side effects prediction.

In drug development, unexpected side effects are the main reason for the failure of candidate drug trials. Discovering potential side effects of drugs...

Multimodal English Teaching Classroom Interaction Based on Artificial Neural Network.

In recent years, with the rapid development of science and technology, traditional teaching methods and concepts have been frequently impacted. Artifi...

TP-DDI: A Two-Pathway Deep Neural Network for Drug-Drug Interaction Prediction.

Adverse drug-drug interactions (DDIs) can severely damage the body. Thus, it is essential to accurately predict DDIs. DDIs are complex processes in wh...

Integrating nonlinear analysis and machine learning for human induced pluripotent stem cell-based drug cardiotoxicity testing.

Utilizing recent advances in human induced pluripotent stem cell (hiPSC) technology, nonlinear analysis and machine learning we can create novel tools...

Deep compartment models: A deep learning approach for the reliable prediction of time-series data in pharmacokinetic modeling.

Nonlinear mixed effect (NLME) models are the gold standard for the analysis of patient response following drug exposure. However, these types of model...

Research on Brand Image Evaluation Method Based on Consumer Sentiment Analysis.

Brand image assessment is a key step to reasonably quantify the value of a brand and has far-reaching significance for improving the competitiveness o...

Dual Mode HRI-HRI Control System with a Hybrid Admittance-Force Controller for Ultrasound Imaging.

The COVID-19 pandemic has brought unprecedented extreme pressure on the medical system due to the physical distance policy, especially for procedures ...

Segmentation of Drug-Treated Cell Image and Mitochondrial-Oxidative Stress Using Deep Convolutional Neural Network.

Most multicellular organisms require apoptosis, or programmed cell death, to function properly and survive. On the other hand, morphological and bioch...

Construction and Research of Constructive English Teaching Model Applying Multimodal Neural Network Algorithm.

This article draws on previous research on constructive English teaching models and uses multimodal neural network algorithm theory and constructive E...

Characterization and Evaluation of Human-Exoskeleton Interaction Dynamics: A Review.

Exoskeletons and exosuits have witnessed unprecedented growth in recent years, especially in the medical and industrial sectors. In order to be succes...

Provable Boolean interaction recovery from tree ensemble obtained via random forests.

Random Forests (RFs) are at the cutting edge of supervised machine learning in terms of prediction performance, especially in genomics. Iterative RFs ...

AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.

Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden that may exceed diagnosis and management capabilit...

Treatment plan prediction for lung IMRT using deep learning based fluence map generation.

PURPOSE: Recently, it has been shown that automated treatment planning can be executed by direct fluence prediction from patient anatomy using convolu...

Automatic worm detection to solve overlapping problems using a convolutional neural network.

The nematode Caenorhabditis elegans is a powerful experimental model to investigate vital functions of higher organisms. We recently established a nov...

Film Effect Optimization by Deep Learning and Virtual Reality Technology in New Media Environment.

Today, new media technology has widely penetrated art forms such as film and television, which has changed the way of visual expression in the new med...