Prescriptions

Role of Reference Frames for a Safe Human-Robot Interaction.

Safety plays a key role in human-robot interactions in collaborative robot (cobot) applications. Thi...

Bimanual Motor Strategies and Handedness Role in Human-Robot Haptic Interaction.

Bimanual object manipulation involves using both hands to interact with objects in the environment, ...

Hemodynamic study of blood flow in the aorta during the interventional robot treatment using fluid-structure interaction.

An interventional robot is a means for vascular diagnosis and treatment, and it can perform dredging...

Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques.

INTRODUCTION: Concerns have been raised over the quality of drug safety information, particularly da...

Collision avoidance analysis of human-robot physical interaction based on null-space impedance control of a dynamic reference arm plane.

When the terminal upper limb rehabilitation robot is used for motion-assisted training, collisions b...

Deep Learning for Identifying Promising Drug Candidates in Drug-Phospholipid Complexes.

Drug-phospholipid complexing is a promising formulation technology for improving the low bioavailabi...

Control of drug release kinetics from hot-melt extruded drug-loaded polycaprolactone matrices.

Sustained local delivery of meloxicam by polymeric structures is desirable for preventing subacute i...

PTPRC promoted CD8+ T cell mediated tumor immunity and drug sensitivity in breast cancer: based on pan-cancer analysis and artificial intelligence modeling of immunogenic cell death-based drug sensitivity stratification.

BACKGROUND: Immunogenic cell death (ICD) is a result of immune cell infiltration (ICI)-mediated cell...

A comparison of the psychological effects of robot motion in physical and virtual environments.

A mixed-methods approach was used to assess the fidelity of virtual environments as ergonomic assess...

Contextualized medication event extraction with striding NER and multi-turn QA.

This paper describes contextualized medication event extraction for automatically identifying medica...

Structure-Based Drug Discovery with Deep Learning.

Artificial intelligence (AI) in the form of deep learning has promise for drug discovery and chemica...

Future of ChatGPT in Pharmacovigilance.

DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein-Ligand Interaction Prediction.

The core of large-scale drug virtual screening is to select the binders accurately and efficiently w...

CFNCM: Collaborative filtering neighborhood-based model for predicting miRNA-disease associations.

MicroRNAs have a significant role in the emergence of various human disorders. Consequently, it is e...

Implementation of artificial intelligence and machine learning-based methods in brain-computer interaction.

Brain-computer interfaces are used for direct two-way communication between the human brain and the ...

How do patients perceive the AI-radiologists interaction? Results of a survey on 2119 responders.

PURPOSE: In this study we investigate how patients perceive the interaction between artificial intel...

DEDTI versus IEDTI: efficient and predictive models of drug-target interactions.

Drug repurposing is an active area of research that aims to decrease the cost and time of drug devel...

A deep learning predictive model for public health concerns and hesitancy toward the COVID-19 vaccines.

Throughout the pandemic era, COVID-19 was one of the remarkable unexpected situations over the past ...

Artificial Intelligence for Computer-Aided Drug Discovery.

The continuous implementation of Artificial Intelligence (AI) in multiple scientific domains and the...

Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE.

The recognition of protein-protein interaction sites (PPIs) is beneficial for the interpretation of ...

CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network.

Recent advancements of artificial intelligence based on deep learning algorithms have made it possib...