Prescriptions

Deep Learning-Driven Insights into Enzyme-Substrate Interaction Discovery.

Enzymes are ubiquitous catalysts with enormous application potential in biomedicine, green chemistry...

Drug toxicity prediction model based on enhanced graph neural network.

Prediction of drug toxicity remains a significant challenge and an essential process in drug discove...

A 4D tensor-enhanced multi-dimensional convolutional neural network for accurate prediction of protein-ligand binding affinity.

Protein-ligand interactions are the molecular basis of many important cellular activities, such as g...

Automated redaction of names in adverse event reports using transformer-based neural networks.

BACKGROUND: Automated recognition and redaction of personal identifiers in free text can enable orga...

Identifying the Relative Importance of Factors Influencing Medication Compliance in General Patients Using Regularized Logistic Regression and LightGBM: Web-Based Survey Analysis.

BACKGROUND: Medication compliance, which refers to the extent to which patients correctly adhere to ...

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction.

Advanced machine learning (ML) and deep learning (DL) methods have recently been utilized in Drug Re...

Enhancement on selenium volatilization for phytoremediation: role of plant and soil microbe interaction.

This study aimed at quantifying the potential effects of plant and soil microbial interaction on sel...

F-CPI: A Multimodal Deep Learning Approach for Predicting Compound Bioactivity Changes Induced by Fluorine Substitution.

Fluorine (F) substitution is a common method of drug discovery and development. However, there are n...

Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning.

BACKGROUND: Liver injury from drug-drug interactions (DDIs), notably with anti-tuberculosis drugs su...

Local interpretable spammer detection model with multi-head graph channel attention network.

Fraudulent reviews posted by spammers on the online shopping websites mislead consumers' purchasing ...

Human Collaborative Control of Lower-Limb Prosthesis Based on Game Theory and Fuzzy Approximation.

For leg prosthesis user, the soft tissue and skin under the stump of are not accustomed to weight be...

Antimicrobial Activity of Tea and Agarwood Leaf Extracts Against Multidrug-Resistant Microbes.

Emerging multidrug-resistant (MDR) strains are the main challenges to the progression of new drug di...

Deep representation learning of protein-protein interaction networks for enhanced pattern discovery.

Protein-protein interaction (PPI) networks, where nodes represent proteins and edges depict myriad i...

Novel artificial intelligence-based identification of drug-gene-disease interaction using protein-protein interaction.

The evaluation of drug-gene-disease interactions is key for the identification of drugs effective ag...

Core reference ontology for individualized exercise prescription.

"Exercise is medicine" emphasizes personalized prescriptions for better efficacy. Current guidelines...

AI-Driven Drug Discovery for Rare Diseases.

Rare diseases (RDs), affecting 300 million people globally, present a daunting public health challen...

Artificial intelligence in mental healthcare: transformative potential vs. the necessity of human interaction.

Improving citizen-government interactions with generative artificial intelligence: Novel human-computer interaction strategies for policy understanding through large language models.

Effective communication of government policies to citizens is crucial for transparency and engagemen...

Investigating Older Adults' Perceptions of AI Tools for Medication Decisions: Vignette-Based Experimental Survey.

BACKGROUND: Given the public release of large language models, research is needed to explore whether...

Enhancing space-time video super-resolution via spatial-temporal feature interaction.

The target of space-time video super-resolution (STVSR) is to increase both the frame rate (also ref...

Advanced AI and ML frameworks for transforming drug discovery and optimization: With innovative insights in polypharmacology, drug repurposing, combination therapy and nanomedicine.

Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug discovery by overcoming...