Prescriptions

Risk Prediction of Chronic Kidney Disease Progression in Type 2 Diabetes Mellitus Across Diverse Populations.

Chronic kidney disease (CKD) is a common complication of type 2 diabetes mellitus (T2DM), with limited predictive tools for individualized prognosis, particularly in Asian populations. We developed deep learning-based prognostic models using a 17-year longitudinal electronic health record dataset from 569,680 individuals across 165 public healthcare facilities in Hong Kong. By integrating clinical...

Temporal and regional associations between fentanyl concentrations in the unregulated drug supply and drug-related mortality in British Columbia, Canada.

BACKGROUND: British Columbia (BC), Canada, continues to experience persistently high rates of unregulated drug toxicity. While the presence of fentanyl in the drug supply is well-established, less is known about how fluctuations in its concentration may influence mortality at the population level. This study describes geographic variation and temporal trends in fentanyl concentrations across BC an...

Deep learning-based object detection of dental implant systems in panoramic and periapical radiographs.

STATEMENT OF PROBLEM: The manual identification of dental implant systems on radiographs is time-consuming, operator-dependent, and prone to diagnosti...

Global spatiotemporal analysis of interactions between urban heat islands and extreme heat waves.

Extreme heat waves (HWs), defined here as periods when daily maximum temperature exceeds the 98th percentile for three or more consecutive days, pose ...

AI accelerate the identification of druggable targets by 3D structures of proteins and compounds.

Artificial intelligence (AI) is being used in oncological drug development to address the high costs, low success rates, and long timelines that chara...

A hierarchical interaction message net for accurate molecular property prediction.

Discovering molecules with desirable molecular properties, including ADMET profiles, is of great importance in drug discovery. Existing approaches typ...

Predicting disease-specific histone modifications and functional effects of non-coding variants by leveraging DNA language models.

BACKGROUND: Epigenetic modifications play a vital role in the pathogenesis of human diseases, particularly neurodegenerative disorders such as Alzheim...

Automated prescription of therapeutic exercise for shoulder impingement syndrome using literature-driven rule generation architecture.

BACKGROUND: Shoulder impingement syndrome (SIS) is a common musculoskeletal disorder that requires individualized therapeutic exercise prescription. H...

Trust - IoV: An open benchmark dataset for trust management in the internet of vehicles.

Whilst advancements in information and communication technologies and artificial intelligence have considerably enhanced the capabilities of the Inter...

Unlocking Multiscale Allosteric Mechanisms: Advanced Computational Strategies for Drug Discovery.

Multiscale allosteric mechanisms refer to regulatory processes in proteins that involve coordinated conformational changes and signal transmission occ...

TropMol: a cloud-based web tool for virtual screening and early-stage prediction of acetylcholinesterase inhibitors using machine learning.

Alzheimer's disease (AD) is the most common type of dementia, accounting for at least two-thirds of dementia cases in people aged 65 and older. Numero...

ContraIndicator: A Natural Language Processing-Based Approach to Potential Drug-Drug Interaction Detection in Pediatric Intensive Care.

BACKGROUND AND OBJECTIVES: The intricate nature of pediatric patients' physiology and the frequent administration of multiple medications in pediatric...

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 ...

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 Insti...

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...