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Prescriptions

Latest AI and machine learning research in prescriptions for healthcare professionals.

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Showing 295-315 of 6,756 articles
NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation.

With the growing demand for personalized marketing, recommender systems have become essential tools ...

Social media interaction and built environment effects on urban walking experience: A machine learning analysis of Shanghai Citywalk.

In fast-paced urban environments, Citywalk has emerged as a key leisure activity for urban residents...

Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery.

Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation an...

Computational intelligence modeling and optimization of small molecule API solubility in supercritical solvent for production of drug nanoparticles.

Artificial Intelligence (AI) is applied in this research for the analysis of a novel green method fo...

SensARy Substitution: Augmented Reality Techniques to Enhance Force Perception in Touchless Robot Control.

The lack of haptic feedback in touchless human-robot interaction is critical in applications such as...

Hit Around: Substitutional Moving Robot for Immersive and Exertion Interaction with Encountered-Type Haptic.

Previous works have shown the potential of immersive technologies to make physical activities a more...

Machine learning for predicting medical outcomes associated with acute lithium poisoning.

The use of machine learning algorithms and artificial intelligence in medicine has attracted signifi...

The QDπ dataset, training data for drug-like molecules and biopolymer fragments and their interactions.

The development of universal machine learning potentials (MLP) for small organic and drug-like molec...

KRN-DTI: Towards accurate drug-target interaction prediction with Kolmogorov-Arnold and residual networks.

Predicting drug-target interactions (DTIs) accurately is essential in the field of drug discovery. R...

Artificial intelligence for RNA-ligand interaction prediction: advances and prospects.

Accurate prediction of RNA-ligand interactions is vital for understanding biological processes and a...

Intelligent recognition of human activities using deep learning techniques.

Recognition of Human Actions (HAR) Portrays a crucial significance in various applications due to it...

Encoding and decoding selectivity and promiscuity in the human chemokine-GPCR interaction network.

In humans, selective and promiscuous interactions between 46 secreted chemokine ligands and 23 cell ...

Emerging artificial intelligence-driven precision therapies in tumor drug resistance: recent advances, opportunities, and challenges.

Drug resistance is one of the main reasons for cancer treatment failure, leading to a rapid recurren...

Does Musical Experience Facilitate Phonetic Accommodation During Human-Robot Interaction?

PURPOSE: This study investigated the effect of musical training on phonetic accommodation in a secon...

The prediction of RNA-small molecule binding sites in RNA structures based on geometric deep learning.

Biological interactions between RNA and small-molecule ligands play a crucial role in determining th...

Artificial Intelligence: Applications in Pharmacovigilance Signal Management.

Pharmacovigilance is the science of collection, detection, and assessment of adverse events associat...

A combined approach of evolutionary game and system dynamics for user privacy protection in human intelligence interaction.

The rapid development of generative artificial intelligence (GenAI) has generated significant econom...

A comparative study on TB incidence and HIVTB coinfection using machine learning models on WHO global TB dataset.

Tuberculosis, a deadly and contagious disease caused by Mycobacterium tuberculosis, remains a signif...

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