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Prescriptions

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

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Showing 1219-1239 of 6,815 articles
Identification of oral therapeutics using an AI platform against the virus responsible for COVID-19, SARS-CoV-2.

This study introduces a sophisticated computational pipeline, , designed for the discovery of antiv...

Dynamic mutual predictions during social learning: A computational and interbrain model.

During social interactions, we constantly learn about the thoughts, feelings, and personality traits...

Effect of Disinfection Method and Testing Methodology on the Performance of a Breath-Enhanced Jet Nebulizer.

National guidelines for cystic fibrosis recommend cleaning and disinfecting nebulizers after each us...

Interday Reliability of Upper-limb Geometric MyoPassivity Map for Physical Human-Robot Interaction.

The value of intrinsic energetic behavior of human biomechanics has recently been recognized and exp...

High-Performance Hydrogel Sensors Enabled Multimodal and Accurate Human-Machine Interaction System for Active Rehabilitation.

Human-machine interaction (HMI) technology shows an important application prospect in rehabilitation...

Discovery of a structural class of antibiotics with explainable deep learning.

The discovery of novel structural classes of antibiotics is urgently needed to address the ongoing a...

Therapeutic drug monitoring of perampanel: Clinical utility and impact of co-medication on pharmacokinetic variability.

BACKGROUND: Perampanel (PER) is a newly developed antiseizure medication (ASM). This study aimed to ...

Unmasking crucial residues in adipose triglyceride lipase for coactivation with comparative gene identification-58.

Lipolysis is an essential metabolic process that releases unesterified fatty acids from neutral lipi...

Polychlorinated Biphenyls and Semen Quality in Healthy Young Men Living in a Contaminated Area.

Polychlorinated biphenyls (PCBs) are persistent organic pollutants and endocrine disruptors that hav...

Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network.

Drug-drug interactions (DDIs) for emerging drugs offer possibilities for treating and alleviating di...

Precision Hypertension.

Hypertension affects >1 billion people worldwide. Complications of hypertension include stroke, rena...

Deep learning-based tools to distinguish plan-specific from generic deviations in EPID-based in vivo dosimetry.

BACKGROUND: Dose distributions calculated with electronic portal imaging device (EPID)-based in vivo...

Comparative Pharmacokinetics and Bioequivalence of Pour-On Ivermectin Formulations in Korean Hanwoo Cattle.

This study aimed to conduct a bioequivalence study of applying three pour-on ivermectin formulations...

Evaluation of Gabapentin and Pregabalin Use in Hospitalized Patients With Decreased Kidney Function.

Gabapentin and pregabalin are well-tolerated medications primarily cleared by the kidney. Patients ...

Identifying multi-target drugs for prostate cancer using machine learning-assisted transcriptomic analysis.

Prostate cancer is a leading cause of cancer death in men, and the development of effective treatmen...

Drug Repositioning Based on Deep Sparse Autoencoder and Drug-Disease Similarity.

Drug repositioning is critical to drug development. Previous drug repositioning methods mainly const...

SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution.

Drug repositioning plays a key role in disease treatment. With the large-scale chemical data increas...

DL-PPI: a method on prediction of sequenced protein-protein interaction based on deep learning.

PURPOSE: Sequenced Protein-Protein Interaction (PPI) prediction represents a pivotal area of study i...

Phar-LSTM: a pharmacological representation-based LSTM network for drug-drug interaction extraction.

Pharmacological drug interactions are among the most common causes of medication errors. Many differ...

Human arm endpoint-impedance in rhythmic human-robot interaction exhibits cyclic variations.

Estimating the human endpoint-impedance interacting with a physical environment provides insights in...

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