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Prescriptions

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

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Showing 232-252 of 6,756 articles
Pharmacovigilance in the digital age: gaining insight from social media data.

Pharmacovigilance is essential for protecting patient health by monitoring and managing medication-r...

Leveraging Hospital Information Data for Effective Antibiotic Stewardship.

Clinical informatics has emerged as a valuable approach to enhance antimicrobial stewardship program...

An Integrated AI-PBPK Platform for Predicting Drug In Vivo Fate and Tissue Distribution in Human and Inter-Species Extrapolation.

Optimal pharmacokinetic (PK) profile, including tissue distribution, is pivotal for a drug achieving...

The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy,...

Role of artificial intelligence in cancer drug discovery and development.

The role of artificial intelligence (AI) in cancer drug discovery and development has garnered signi...

Enhancing image-based virtual try-on with Multi-Controlled Diffusion Models.

Image-based virtual try-on technology digitally overlays clothing onto images of individuals, enabli...

Machine Learning-Based Analysis of Differentially Expressed Genes in the Muscle Transcriptome Between Beef Cattle and Dairy Cattle.

Muscle is a crucial component of cattle, playing a vital role in determining the final quality of be...

Multiscale analysis and optimal glioma therapeutic candidate discovery using the CANDO platform.

Glioma is a highly malignant brain tumor with limited treatment options. We employed the Computation...

WDGBANDTI: A Deep Graph Convolutional Network-Based Bilinear Attention Network for Drug-Target Interaction Prediction with Domain Adaptation.

BACKGROUNDS: During the development of new drugs, it is essential to assess their effectiveness and ...

The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence.

This work aims to enhance the accuracy and efficiency of corporate strategic decision-making, partic...

Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screening.

In the drug discovery process, traditional structure-based virtual screening methods, such as molecu...

Ultrasound Diagnosis of Pelvic Organ Prolapse Using Artificial Intelligence.

The aim of this study was to design a fully automated hybrid AI-based method, combining a convoluti...

Deep Learning-Based Multimodal Feature Interaction-Guided Fusion: Enhancing the Evaluation of EGFR in Advanced Lung Adenocarcinoma.

RATIONALE AND OBJECTIVES: The aim of this study is to develop a deep learning-based multimodal featu...

Interpretable prediction of drug synergy for breast cancer by random forest with features from Boolean modeling of signaling pathways.

Breast cancer is a complex and challenging disease to treat, and despite progress in combating it, d...

Machine learning models for pharmacogenomic variant effect predictions - recent developments and future frontiers.

Pharmacogenomic variations in genes involved in drug disposition and in drug targets is a major dete...

Antiswelling, Ultrastretchable, and Ultrastable Hydrogel Sensors for Long-Term Underwater Monitoring.

Wearable strain sensors designed for underwater environments and monitoring users' health status and...

The silent epidemic of non-adherence - insights from the 2024 a:care congress.

Medication non-adherence is a global challenge with profound implications for patient health outcome...

DeepCCDS: Interpretable Deep Learning Framework for Predicting Cancer Cell Drug Sensitivity through Characterizing Cancer Driver Signals.

Accurate characterization of cellular states is the foundation for precise prediction of drug sensit...

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