Prescriptions

Early Risk Factor Prediction in Chronic Kidney Disease Diagnosis Using Feature Selection and Machine Learning Algorithms.

Chronic kidney disease, CKD in short, is a kind of long-term kidney illness in which rapid deterioration of kidney function is observed over a period of time. Unlike other organs, this damage in kidney function cannot be recovered and reversed as well. Moreover, in its early stages, asymptomatic renal disease is highly prevalent, making early identification with conventional clinical approaches di...

Development of retrieval-augmented generation-based large language model for drug-induced liver injury using Livertox data.

BACKGROUND: Idiosyncratic DILI is a complex clinical challenge requiring timely and accurate decision support. LiverTox, curated by the National Institute of Health (NIH), offers a comprehensive DILI evidence base, but its encyclopedia-like format hinders point-of-care use. Health care providers increasingly use general large language models (LLMs) for clinical care, raising safety concerns due to...

A unified survey on drug-target interaction and binding affinity prediction: Models, representations, and challenges.

Drug discovery is a complex and systematic process aimed at finding new treatment methods that can prevent or treat specific diseases. Accurately pred...

Automatic field-of-view planning for magnetic resonance shoulder imaging using Deep Learning.

INTRODUCTION: Accurate prescription of oblique coronal and oblique sagittal field of views (FOV) is essential for diagnostic shoulder MRI. Manual plan...

Effect of caudal fin shape on swimming performance of a flying fish robot.

The advancement of robotic fish necessitates examination of whether caudal fins should be specifically designed for individual body shapes or if gener...

Automatic classification of kidney stone components based on smartphone microscopy and the GoogLeNet model.

BACKGROUND: To develop an automated classification system for urinary stone composition by integrating smartphone-based microscopic imaging (TIPSCOPE)...

PlantCTCIP: Chromatin Interaction Prediction Using Convolutional Neural Network and Transformer in Plants.

Chromatin interactions establish spatial proximity between distant regulatory elements and their target genes, significantly influencing gene expressi...

Reflective control explains scattering and obstacle interaction in lateral undulatory locomotion.

Due to its efficiency, simplicity, and adaptability across diverse terrains, lateral undulatory locomotion presents an ideal paradigm for studying the...

Screening for novel chemical scaffolds targeting PCNA identifies the Hsp90alpha inhibitor SNX-2112.

Proliferating cell nuclear antigen (PCNA) protein is an emerging therapeutic target for several diseases including cancers, and certain viral infectio...

Deep capsule neural network for identifying anticancer peptides using sequence to image transformation-based local embedded features.

BACKGROUND: Globally, cancer is a major health issue that poses a significant threat to human health. Traditional treatments and laboratory-based meth...

Primary infliximab failure in pediatric colonic inflammatory bowel disease: Development of a proteomics predictive model using a prospective Canadian cohort.

BACKGROUND: We aimed to build a serum proteomics-based model to predict primary nonresponse (PNR) to infliximab (IFX) in pediatric colonic inflammator...

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need to have an accurate days' supply (DS) for each pre...

Biosimilar stewardship at the interface of disproportionality methods and AI integration: current evidence and potential strategies.

INTRODUCTION: Biosimilar stewardship includes safety, appropriate use, and value. However, it faces challenges due to shortages in disproportionality ...

A physics-informed graph neural network to approximate docking-based binding affinity for DYRK2 in Alzheimer's drug repurposing.

Alzheimer's disease (AD) requires the discovery of new therapeutic targets, but traditional molecular docking methods for virtual screening are often ...

AI-Enabled Surveillance and Modelling for Counterfeit Botulinum Toxin A: Risk Projection, Patient Safety, and Systemic Reform of Pharmacovigilance.

BACKGROUND: Counterfeit Botulinum Toxin A (BoNT-A) poses a growing global threat, particularly in aesthetic medicine where regulatory oversight is min...

Medical intelligence vs. artificial intelligence - How psychiatrists arrive at treatment algorithms.

The rise of artificial intelligence and computational methods in clinical decision-making allows for a novel perspective on personalized psychopharmac...

Identification of mitochondrial dysfunction-related biomarkers and immune infiltration in liver ischemia-reperfusion injury via integrated bioinformatics and machine learning.

BACKGROUND: Mitochondrial dysfunction contributes to the pathogenesis of multiple diseases. This study explores the involvement of mitochondrial dysfu...

Domain adversarial gated bilinear attention networks for cross domain drug target interaction prediction.

Accurate prediction of drug-target interactions (DTIs) is crucial for accelerating drug discovery. However, current computational methods often fail t...

Development and validation of a prognosis model for low-grade gliomas based on metabolic gene risk scoring and immune microenvironment interaction.

PURPOSE: Low-grade gliomas(LGGs) show significant clinical and molecular heterogeneity, complicating progression prediction with conventional indicato...

Drug Repositioning by Belief Networks and Ensemble Method.

The approach of drug repositioning, recognized as an efficient strategy to reduce costs and shorten development timelines in the pharmaceutical indust...