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Prescriptions

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

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Product-Alert Subcategories: Devices and Vaccines Prescriptions
Showing 337-357 of 6,756 articles
Artificial intelligence in central-peripheral interaction organ crosstalk: the future of drug discovery and clinical trials.

Drug discovery before the 20th century often focused on single genes, molecules, cells, or organs, f...

Optimized driver fatigue detection method using multimodal neural networks.

Driver fatigue is a significant factor contributing to road accidents, highlighting the need for pre...

MLG2Net: Molecular Global Graph Network for Drug Response Prediction in Lung Cancer Cell Lines.

Drug response prediction (DRP) is a central task in the era of precision medicine. Over the past dec...

Smart MXene-based microrobots for targeted drug delivery and synergistic therapies.

MXenes and their composites exhibit remarkable electrical conductivity, mechanical flexibility, and ...

Ivermectin performance against equine strongylids: Efficacy, egg reappearance periods, and fecal egg counting method comparison.

Equine strongylids are ubiquitous and can cause severe health issues. Anthelmintic resistance is wid...

PoseidonQ: A Free Machine Learning Platform for the Development, Analysis, and Validation of Efficient and Portable QSAR Models for Drug Discovery.

The advent of powerful machine learning algorithms as well as the availability of high volume of pha...

Young Adult Perspectives on Artificial Intelligence-Based Medication Counseling in China: Discrete Choice Experiment.

BACKGROUND: As artificial intelligence (AI) permeates the current society, the young generation is b...

Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records.

Measuring medication discontinuation in claims data primarily relies on the gaps between prescriptio...

Edge-enhanced interaction graph network for protein-ligand binding affinity prediction.

Protein-ligand interactions are crucial in drug discovery. Accurately predicting protein-ligand bind...

Virtual reality in drug design: Benefits, applications and industrial perspectives.

Virtual reality (VR) is a tool which has transformative potential in domains which involve the visua...

DruGagent: Multi-Agent Large Language Model-Based Reasoning for Drug-Target Interaction Prediction.

Advancements in large language models (LLMs) allow them to address diverse questions using human-lik...

Animal-robot interaction induces local enhancement in the Mediterranean fruit flyWiedemann.

Animal-robot interaction (ARI) is an emerging field that uses biomimetic robots to replicate biologi...

Advancing plant leaf disease detection integrating machine learning and deep learning.

Conventional techniques for identifying plant leaf diseases can be labor-intensive and complicated. ...

Leveraging Artificial Intelligence to Uncover Symptom Burden in Palliative Care: Analysis of Nonscheduled Visits Using a Phi-3 Small Language Model.

PURPOSE: This study aimed to differentiate nonscheduled visits (NSVs) in an outpatient palliative ca...

TransformDDI: The Transformer-Based Joint Multi-Task Model for End-to-End Drug-Drug Interaction Extraction.

Drug-Drug Interactions (DDI) identification is a part of the drug safety process, that focuses at av...

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