Prescriptions

Inhibition of the p38/JNK MAPK pathway mediated by circadian rhythm genes: Study of the mechanism of Linggan Wuwei Jiangxin decoction in the treatment of COPD.

ETHNOPHARMACOLOGICAL RELEVANCE: Chronic obstructive pulmonary disease (COPD) is a frequently encountered respiratory disease. Its clinical symptoms are characterized by long-term coughing, expectoration, and other airway symptoms, resulting in significant harm. Linggan Wuwei Jiangxin Decoction (LGWWJXD) has the effects of warming the lungs, transforming fluid retention, and relieving cough and ast...

Development and validation of a machine learning stratified prediction model for early warning of anti-tuberculosis drug-induced liver injury risk based on real-world data: a retrospective cohort study.

OBJECTIVE: This study aimed to develop and validate stratified machine learning models for early prediction of anti-tuberculosis drug-induced liver injury (ATB-DILI) risk, targeting both a general tuberculosis (TB) treatment population and a high-risk subgroup with chronic hepatitis B (CHB) co-infection, based on real-world clinical data. METHODS: A single-center retrospective cohort study was con...

CMMSCL-DPI: cross-modal multi-structural contrastive learning for predicting drug-protein interactions.

BACKGROUND: Predicting drug-protein interactions (DPI) is essential for effective and safe drug discovery. Although deep learning methods have been ex...

Personalized Diabetes Treatment Support Using Large Language Models Fine-Tuned on Electronic Health Records: Development and Evaluation Study.

BACKGROUND: Effective diabetes management requires individualized treatment strategies tailored to patients' clinical characteristics. With recent adv...

Effects of Lactiplantibacillus plantarum on moderate dyslipidemia before medication involving gut microbiota and host genetics.

In this 12-week trial, 136 participants with moderately dyslipidemia were randomly assigned to receive Lactiplantibacillus plantarum (LP) or placebo. ...

Individualized gamma knife radiosurgery prescription dosing for pituitary adenomas: development and internal validation of a feedforward neural network model.

BACKGROUND: Gamma Knife radiosurgery (GKRS) is an established treatment for pituitary adenomas yet prescription dose selection is often guided by clin...

A hybrid framework for notebook market analysis: Integrating social media sentiment mining with expert knowledge for feature prioritization.

The increasing complexity of consumer preferences in the notebook market requires advanced methodologies to effectively analyze user sentiments and pr...

Biomarker discovery and drug repurposing in hepatocellular carcinoma through transcriptomics, machine learning, network pharmacology, and molecular dynamics.

This study employed an integrative computational and systems biology framework to define a diagnostic gene signature for hepatocellular carcinoma (HCC...

A novel in silico platform combining data-driven and physics-based models for protein formulation developability assessment.

The development of novel therapeutic proteins is accompanied by huge financial and time investments. Advancing molecules through drug product developm...

Importance of genetic ancestry in pharmacogenomics for precision medicine.

Genetic ancestry refers to an individual's biogeographical origins inferred from correlated allele frequencies shared with individuals from similar an...

AMP-CapsNet: a multi-view feature fusion approach for antimicrobial peptide prediction using capsule networks.

Antimicrobial peptides (AMPs) are universally found in both intracellular and extracellular settings and have significant antibiotic-resistant bacteri...

Introducing AutoML framework for Drug-Drug Interaction Prediction: Application of AutoGluon.

Drug-drug interactions (DDIs) remain a major concern in medication safety. Although advanced artificial intelligence methods such as deep learning hav...

Simultaneous Segmentation of Geographic Atrophy in Longitudinally Acquired Fundus Autofluorescence Images.

PURPOSE: Accurately measuring geographic atrophy (GA) progression in clinical trials is challenging, owing to its slow and variable nature. This study...

Fully automated volumetry of ventricular subregions on computed tomography using object detection and semantic segmentation.

BACKGROUND: Our goal was to develop and validate machine learning models that are capable of fully automatic identification and segmentation of fronta...

Predicting recurrent cardiac arrest within one year after surviving In-Hospital Cardiac Arrest using a machine learning model.

BACKGROUND: Patients discharged alive after in-hospital cardiac arrest (IHCA) have an increased mortality up to a year after hospital discharge. Impro...

Identification of glycosylation-related gene signatures associated with coronary artery disease via integrated transcriptomic and machine learning analyses.

BACKGROUND: On a global scale, coronary artery disease (CAD) continues to be one of the leading causes of morbidity and death. Glycosylation, a vital ...

Structure-Based Prediction of QT Prolongation Risk Using Graph Neural Networks: An Integrative Approach Combining In Vitro hERG Assays and Pharmacovigilance Data.

Drug-induced QT-interval prolongation, a non-specific biomarker of increased risk for Torsades de Pointes (TdP), is a major safety concern in drug dev...

Comparison of Artificial Intelligence Models for Automatic Segmentation of the Mandibular Canals and Branches.

OBJECTIVES: This study aimed to compare and improve the performance of three deep learning models, i.e., U-Net Transformer (UNETR), Swin UNETR, and 3D...

Classifying Delayed Dental Care Using Machine Learning: A National Health Interview Survey Analysis.

BACKGROUND: Delays in dental care worsen oral disease and mirror broader inequities in health care access and use. OBJECTIVE: To estimate the 12-month...

From black box to clear box: explainable AI for next-gen pharmacovigilance.

INTRODUCTION: Pharmacovigilance (PV) plays a vital role in post-marketing surveillance of drug safety; however, traditional methods are hindered by un...