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

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Showing 169-189 of 6,756 articles
MSFCL: Drug Combination Risk Level Prediction Based on Multi-Source Feature Fusion and Contrastive Learning.

Accurate assessment of drug combination risk levels is crucial for guiding rational clinical medicat...

Graph_RG: Dominating CASP16's Small Molecule Affinity Prediction Subcategory-A Pose-Free Framework for Billion-Scale Virtual Screening.

Protein-ligand interaction prediction is pivotal in early-stage drug development, enabling large-sca...

Artificial intelligence-driven green innovation for sustainable development: Empirical insights from India's renewable energy transition.

This paper explores the contribution of artificial intelligence (AI), green technology innovation (G...

Multi-factor interaction perspective: machine learning-based analysis of Ni⁺ adsorption onto soil.

With the rapid development of industry and agriculture, the ecological and health impacts of nickel ...

Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current to...

Machine Learning-Enhanced Nanoparticle Design for Precision Cancer Drug Delivery.

In recent years, nanomedicine has emerged as a promising approach to deliver therapeutic agents dire...

Structured human-LLM interaction design reveals exploration and exploitation dynamics in higher education content generation.

Large Language Models (LLMs) present a radically new paradigm for the study of information foraging ...

Seminars in epileptology: How to diagnose status epilepticus in adults and children.

Status epilepticus (SE) can be regarded as the most severe expression of seizure activity characteri...

Molecular dynamics-driven drug discovery.

Molecular dynamics (MD) simulation is an important tool and has a wide range of applications in many...

Improved Prediction of Drug-Protein Interactions through Physics-Based Few-Shot Learning.

Accurate prediction of drug-protein interactions is crucial for drug discovery. Due to the bottlenec...

Will the inclusion of AI anchors enhance the operational performance of live streaming e-commerce supply chains?

With the rapid growth of the live streaming e-commerce market, traditional live streaming models are...

Recent advances in deep learning for protein-protein interaction: a review.

Deep learning, a cornerstone of artificial intelligence, is driving rapid advancements in computatio...

Next-generation cancer therapeutics: unveiling the potential of liposome-based nanoparticles through bioinformatics.

Cancer remains one of the most deadly diseases in the world, requiring constant growth and improveme...

Identifying Risk Factors of Substance Use in Finland: A Machine Learning Approach.

: This study explores the dynamics of substance use in Finland, employing Artificial Intelligence (A...

Can automation and artificial intelligence reduce echocardiography scan time and ultrasound system interaction?

BACKGROUND: The number of patients referred for and requiring a transthoracic echocardiogram (TTE) h...

Quantum-inspired computational drug design for phytopharmaceuticals: a herbal holography analysis.

CONTEXT: Modern medication discovery is undergoing a paradigm change at the junction of herbal pharm...

AI-Supported Documentation and Clinical Monitoring in Palliative Care: A Real-World Observational Study.

BackgroundPatients in palliative care often experience prolonged hospital stays, requiring detailed ...

Building Explainable Graph Neural Network by Sparse Learning for the Drug-Protein Binding Prediction.

Explainable Graph Neural Networks have been developed and applied to drug-protein binding prediction...

Patterns of calcitonin gene-related peptide monoclonal antibody use in people with migraine: Results of the OVERCOME (US) study.

BackgroundUnderstanding characteristics and reasons associated with using calcitonin gene-related pe...

Artificial Intelligence in Chronic Disease Management for Aging Populations: A Systematic Review of Machine Learning and NLP Applications.

As China's elderly population grows rapidly and the aging society arrives, the number of elderly pat...

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