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Prescriptions

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

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Showing 22-42 of 6,756 articles
Prediction of protein-protein interaction based on interaction-specific learning and hierarchical information.

BACKGROUND: Prediction of protein-protein interactions (PPIs) is fundamental for identifying drug ta...

Bridging technology and medicine: artificial intelligence in targeted anticancer drug delivery.

The integration of artificial intelligence (AI) in targeted anticancer drug delivery represents a si...

Interpretable bioinformatics approaches for pheochromocytoma bioactivity and protein interaction analysis.

Pheochromocytoma (PCC) is a rare neuroendocrine tumor driven by complex molecular mechanisms, notabl...

Personalizing cancer therapy: the role of pharmacogenetics in overcoming drug resistance and toxicity.

Cancer pharmacogenetics has become a cornerstone of precision oncology. It offers the potential to o...

Advanced drug-target interaction prediction using convolutional graph attention networks in expert systems.

Predicting drug-target interaction (DTI) is crucial in drug discovery and repurposing, as it signifi...

Drug repurposing for osteoarthritis disease modification in the Early 21 Century.

Osteoarthritis (OA) is a leading cause of disability worldwide, significantly impacting patient mobi...

Bind: large-scale biological interaction network discovery through knowledge graph-driven machine learning.

BACKGROUND: Biological systems derive from complex interactions between entities ranging from biomol...

Regulation of the Light Absorption and Photothermal Performance of Melanin-Like Polymers.

ConspectusMelanin-like polymers have attracted significant attention for their excellent light absor...

Digital Therapeutics in Cardiovascular Healthcare: A Narrative Review.

The rapid development of digital therapeutics (DTx) presents opportunities for cardiovascular diseas...

Predictive Modelling of Solvent Effects on Drug Incorporation into Polymeric Nanocarriers: A Machine Learning Approach.

This study aimed to identify solvent characteristics that enhance drug loading in polymeric micelles...

The need for guardrails with large language models in pharmacovigilance and other medical safety critical settings.

Large language models (LLMs) are useful tools with the capacity for performing specific types of kno...

Application of an electronic tongue and hyperspectral imaging with a CNN-transformer fusion model for rapid detection of botanical origins of honey.

The botanical origin of honey significantly impacts its nutritional composition, quality, and price....

Applications of Artificial Intelligence in Biotech Drug Discovery and Product Development.

Artificial intelligence (AI) is revolutionizing biotechnology by transforming the landscape of thera...

Machine learning-assisted exploration of multidrug-drug administration regimens for organoid arrays.

Combination therapies enhance the therapeutic effect of cancer treatment; however, identifying effec...

Deep learning molecular interaction motifs from receptor structures alone.

Interactions of proteins with other molecules are often mediated by a set of critical binding motifs...

HLAIIPred: cross-attention mechanism for modeling the interaction of HLA class II molecules with peptides.

We introduce HLAIIPred, a deep learning model to predict peptides presented by class II human leukoc...

"Digital Clinicians" Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial.

BACKGROUND: Artificial intelligence (AI) chatbots have shown competency in a range of areas, includi...

Artificial intelligence in pharmacovigilance: a narrative review and practical experience with an expert-defined Bayesian network tool.

BACKGROUND: Pharmacovigilance is vital for monitoring adverse drug reactions (ADRs) and ensuring dru...

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...

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