Prescriptions

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 have been implicated in potential damage to human semen. However, the studies conducted so far provide contrasting results. Our study aimed to investigate the associations between PCB serum and semen levels and semen quality in high school and university students living in a highly PCB-polluted area of...

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 diseases, and accurately predicting these with computational methods can improve patient care and contribute to efficient drug development. However, many existing computational methods require large amounts of known DDI information, which is scarce for emerging drugs. Here we propose EmerGNN, a graph ...

Precision Hypertension.

Hypertension affects >1 billion people worldwide. Complications of hypertension include stroke, renal failure, cardiac hypertrophy, myocardial infarct...

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 dosimetry (EIVD) differ from planned dose distrib...

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 at a dose of 1 mg/kg on the back of Korean native...

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 receiving higher gabapentinoid doses with decrease...

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 treatments is of great importance. This study explored to ...

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

Drug repositioning is critical to drug development. Previous drug repositioning methods mainly constructed drug-disease heterogeneous networks to extr...

Identification of active compounds as novel dipeptidyl peptidase-4 inhibitors through machine learning and structure-based molecular docking simulations.

The enzyme dipeptidyl peptidase 4 (DPP4) is a potential therapeutic target for type 2 diabetes (T2DM). Many synthetic anti-DPP4 medications are availa...

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 different methods have been proposed to extract drug-dru...

Using artificial intelligence for exercise prescription in personalised health promotion: A critical evaluation of OpenAI's GPT-4 model.

The rise of artificial intelligence (AI) applications in healthcare provides new possibilities for personalized health management. AI-based fitness ap...

DeepCompoundNet: enhancing compound-protein interaction prediction with multimodal convolutional neural networks.

Virtual screening has emerged as a valuable computational tool for predicting compound-protein interactions, offering a cost-effective and rapid appro...

Human-Robot Interaction Using Learning from Demonstrations and a Wearable Glove with Multiple Sensors.

Human-robot interaction is of the utmost importance as it enables seamless collaboration and communication between humans and robots, leading to enhan...

An End-to-end and Drug Repurposing Pipeline for Glioblastoma.

Our study aims to address the challenges in drug development for glioblastoma, a highly aggressive brain cancer with poor prognosis. We propose a comp...

Computational and artificial intelligence-based approaches for drug metabolism and transport prediction.

Drug metabolism and transport, orchestrated by drug-metabolizing enzymes (DMEs) and drug transporters (DTs), are implicated in drug-drug interactions ...

A generic scope actuation system for flexible endoscopes.

BACKGROUND: A scope actuation system assists a surgeon in steering a scope for navigating an operative field during an interventional or diagnostic pr...

Developing an Artificial Intelligence-Driven Nudge Intervention to Improve Medication Adherence: A Human-Centred Design Approach.

To improve medication adherence, we co-developed a digital, artificial intelligence (AI)-driven nudge intervention with stakeholders (patients, provid...

Data science in drug discovery safety: Challenges and opportunities.

Early de-risking of drug targets and chemistry is essential to provide drug projects with the best chance of success. Target safety assessments (TSAs)...

Computational drug discovery on human immunodeficiency virus with a customized long short-term memory variational autoencoder deep-learning architecture.

Despite attempts to control the spread of human immunodeficiency virus (HIV) through the use of anti-HIV medications, the absence of an effective vacc...

Automatic Gaze Analysis: A Survey of Deep Learning Based Approaches.

Eye gaze analysis is an important research problem in the field of Computer Vision and Human-Computer Interaction. Even with notable progress in the l...