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Prescriptions

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

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Artificial Intelligence: A New Tool for Structure-Based G Protein-Coupled Receptor Drug Discovery.

Understanding protein structures can facilitate the development of therapeutic drugs. Traditionally,...

How culture modulates anthropomorphism in Human-Robot Interaction: A review.

Anthropomorphism is the tendency to attribute human-like characteristics to nonhuman agents, includi...

Developing a machine learning-based predictive model for levothyroxine dosage estimation in hypothyroid patients: a retrospective study.

Hypothyroidism, a common endocrine disorder, has a high incidence in women and increases with age. L...

AI-driven innovations in smart multifunctional nanocarriers for drug and gene delivery: A mini-review.

The convergence of artificial intelligence (AI) and nanomedicine has revolutionized the design of sm...

Molecular Generation for CNS Drug Discovery and Design.

Computational drug design is a rapidly evolving field, especially the latest breakthroughs in genera...

Multidependency Graph Convolutional Networks and Contrastive Learning for Drug Repositioning.

The goal of drug repositioning is to expedite the drug development process by finding novel therapeu...

GramSeq-DTA: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information.

Drug-target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful represe...

Application of the LDA model to identify topics in telemedicine conversations on the X social network.

The evolution experienced by global society, in the post-COVID 19 era, is marked by the quite obliga...

Social robots as conversational catalysts: Enhancing long-term human-human interaction at home.

The integration of social robots into family environments raises critical questions about their long...

Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents.

This study investigates the utilization of three regression models, i.e., Kernel Ridge Regression (K...

An Optimised Mobilenet V2 Attention Parallel Network for Predicting Drug-Drug Interactions Through Combining Local and Global Features.

Drug-drug interactions (DDIs) are an important concern in the clinical practice and drug development...

Leveraging machine learning for drug repurposing in rheumatoid arthritis.

Rheumatoid arthritis (RA) presents a significant challenge in clinical management because of the dea...

MOLGAECL: Molecular Graph Contrastive Learning via Graph Auto-Encoder Pretraining and Fine-Tuning Based on Drug-Drug Interaction Prediction.

Drug-drug interactions influence drug efficacy and patient prognosis, providing substantial research...

Early warning strategies for corporate operational risk: A study by an improved random forest algorithm using FCM clustering.

To enhance the accuracy and response speed of the risk early warning system, this study develops a n...

Comparing neural language models for medical concept representation and patient trajectory prediction.

Effective representation of medical concepts is crucial for secondary analyses of electronic health ...

Predicting Liver-Related In Vitro Endpoints with Machine Learning to Support Early Detection of Drug-Induced Liver Injury.

Drug-induced liver injury (DILI) is a major cause of drug development failures and postmarket drug w...

Does perceived voluntariness of others' actions induce vicarious sense of agency? Evidence from human-robot interaction.

Sense of Agency (SoA) is the feeling of control over one's actions and outcomes. People can experien...

Cancer Drug Sensitivity Prediction Based on Deep Transfer Learning.

In recent years, many approved drugs have been discovered using phenotypic screening, which elaborat...

Machine learning-assisted wearable sensing systems for speech recognition and interaction.

The human voice stands out for its rich information transmission capabilities. However, voice commun...

Intelligent risk stratification of hypertension based on ambulatory blood pressure monitoring and machine learning algorithms.

. Risk stratification of hypertension plays a crucial role in the treatment decisions and medication...

Fine-Tuned Deep Transfer Learning Models for Large Screenings of Safer Drugs Targeting Class A GPCRs.

G protein-coupled receptors (GPCRs) remain a focal point of research due to their critical roles in ...

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