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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 64-84 of 6,756 articles
MultiRepPI: a cross-modal feature fusion-based multiple characterization framework for plant peptide-protein interaction prediction.

Plant peptide-protein interactions (PepPI) play a crucial role in plant growth, development, immune ...

Prediction of hub genes in pulpal inflammation and regeneration using autoencoders and a generative AI approach.

Pulpal inflammation and regeneration are crucial for enhancing endodontic treatment outcomes. Transc...

The analysis of learning investment effect for artificial intelligence English translation model based on deep neural network.

With the rapid development of multimodal learning technologies, this work proposes a Future-Aware Mu...

Misrepresentation of semaglutide in social media.

In recent years, semaglutide has repeatedly attracted attention in the press and on social media due...

High-throughput behavioral screening in Caenorhabditis elegans using machine learning for drug repurposing.

Caenorhabditis elegans is a widely used animal model for researching new disease treatments. In rece...

Comprehensive interaction modeling with machine learning improves prediction of disease risk in the UK Biobank.

Understanding how risk factors interact to jointly influence disease risk can provide insights into ...

Overcoming translational barriers in RNA-protein docking: enhancing computational accuracy for targeted drug discovery.

RNA-protein interactions can play a crucial role in the regulation of gene expression, cellular proc...

Enhancing online interaction through avatar-based dialogue systems utilizing the approaching movement.

The rise in online interactions has introduced multiple challenges, including confusion during virtu...

Synergistic fusion: An integrated pipeline of CLAHE, YOLO models, and advanced super-resolution for enhanced thermal eye detection.

Accurate eye detection in thermal images is essential for diverse applications, including biometrics...

Landmark-free automatic digital twin registration in robot-assisted partial nephrectomy using a generic end-to-end model.

PURPOSE: Augmented Reality in Minimally Invasive Surgery has made tremendous progress in organs incl...

Machine learning analysis of drug solubility via green approach to enhance drug solubility for poor soluble medications in continuous manufacturing.

The development of continuous pharmaceutical manufacturing is crucial and can be analyzed via advanc...

Multi-View Fused Nonnegative Matrix Completion Methods for Drug-Target Interaction Prediction.

Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery an...

Integrated machine learning and deep learning-based virtual screening framework identifies novel natural GSK-3β inhibitors for Alzheimer's disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder lacking effective therapies. Gl...

Spatio-temporal expansion patterns and influencing factors in China's new local retail industry: A case study of Luckin Coffee.

with the increased penetration of the Internet, artificial intelligence, and other technologies, New...

Collaborative Internal Cavity Effect and Interfacial Modulation Mechanism for Boosting Deep Learning-Powered Immunochromatographic Pathogen Detection.

Nanoenabled immunochromatographic assay (ICA) emerges as a powerful tool for pathogen diagnosis, yet...

Development and external validation of a machine learning model for predicting drug-induced immune thrombocytopenia in a real-world hospital cohort.

BACKGROUND: Drug-induced immune thrombocytopenia (DITP) is a rare but potentially life-threatening a...

Predicting clozapine-induced adverse drug reaction biomarkers using machine learning.

Clozapine is an atypical antipsychotic used for patients with treatment-resistant schizophrenia. Thi...

Efficacy of swarm-based neural networks in automated depression detection.

As depression becomes a global pandemic, this research paper presents a comprehensive study for depr...

Using Data Mining to Differentiate Dengue with Warning Signs from Severe Dengue: A Predictive Model from Oaxaca, Mexico.

Dengue with warning signs (DWS) and severe dengue are significant public health concerns in tropical...

Comparative effectiveness of anti-seizure medications in emulated trials using medical informatics.

Anti-seizure medications (ASMs) are often prescribed using a trial-and-error approach with a similar...

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