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Prescriptions

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

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Showing 43-63 of 6,756 articles
Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN.

BACKGROUND: The exploration of drug-target interactions (DTIs) is a critical step in drug discovery ...

Enhancing theory of mind in autism through humanoid robot interaction in a randomized controlled trial.

Autism Spectrum Disorder presents significant challenges in social cognition, particularly in unders...

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual ...

log-RRIM: Yield Prediction via Local-to-Global Reaction Representation Learning and Interaction Modeling.

Accurate prediction of chemical reaction yields is crucial for optimizing organic synthesis, potenti...

HAVIT: research on vision-language gesture interaction mechanism for smart furniture.

With the rapid development of smart furniture, gesture recognition has gained increasing attention a...

A machine learning model exploring the relationship between chronic medication and COVID-19 clinical outcomes.

BACKGROUND: The impact of chronic medication on COVID-19 outcomes has been a topic of ongoing debate...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for m...

Multi-modal classification of retinal disease based on convolutional neural network.

Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irre...

AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.

Skin cancer is a significant global public health issue, with millions of new cases identified each ...

A comprehensive review of neural network-based approaches for drug-target interaction prediction.

Predicting Drug-Target Interactions (DTI) is vital for accelerating drug discovery and repurposing. ...

Deep learning application to hyphae and spores identification in fungal fluorescence images.

This study explores the application of deep learning to fungal disease diagnosis, focusing on an aut...

Evidential deep learning-based drug-target interaction prediction.

Drug-target interaction (DTI) prediction is a crucial component of drug discovery. Recent deep learn...

DGEAHorNet: high-order spatial interaction network with dual cross global efficient attention for medical image segmentation.

Medical image segmentation is a complex and challenging task, which aims to accurately segment vario...

Machine learning analysis of molecular dynamics properties influencing drug solubility.

Solubility is critical in drug discovery and development, as it significantly influences a medicatio...

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments.

The emerging density in today's urban environments requires a strong multi-camera architecture for r...

Machine learning driven diabetes care using predictive-prescriptive analytics for personalized medication prescription.

The increasing prevalence of type 2 diabetes (T2D) is a significant health concern worldwide. Effect...

Drug usage classification based on personality and demographic features using a combination of sampling and machine learning algorithms.

Drug use stems from biopsychosocial factors. This study classified 18 drug types using personality a...

Machine Learning-Enhanced Modular Ionic Skin for Broad-Spectrum Multimodal Discriminability in Bidirectional Human-Robot Interaction.

Multimodal tactile perception systems that mimic the functionality of human skin are able to perceiv...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

DTIP-WINDGRU a novel drug-target interaction prediction with wind-enhanced gated recurrent unit.

BACKGROUND: Identification of drug target interactions (DTI) is an important part of the drug discov...

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