Academic Articles & Research Papers

Comprehensive and reproducible grading of the Updated Sydney System in gastric biopsies using artificial intelligence: multi-pathologist validation and a reader study.

Next-generation precision medicine for mood disorders: reproducible blood biomarkers enable objective diagnostics, subtyping, and targeted therapeutics.

A reproducible web-scraping pipeline for collecting geolocated German online job advertisements at scale.

Household-level food-insecurity prediction from experience-scale surveys and open geospatial data: A reproducible machine-learning pipeline for Nigeria.

A SAM2 and VLM-Based Automatic Radiological Reporting System for Pneumothorax Detection

Background/Objectives: Pneumothorax, caused by air accumulation in the pleural space, can lead to lung collapse and, if diagnosis is delayed, respiratory or cardiovascular deterioration. Most deep-learning studies on pneumothorax address cl...

Correlation between the Findings of Magnetic Resonance Imaging Shoulder and Shoulder Arthroscopy

Introduction: Shoulder pain is a significant cause of decreased functional activity of an individual. The overall prevalence of shoulder pain is 16-26%, which makes it the third most common cause among musculoskeletal complaints. The cau...

Process-Programmed Extraction–Structure–Activity Relationships (ESAR) in edible and medicinal mushroom polysaccharides: a mechanistic and application-oriented framework

Background: Edible and medicinal mushroom polysaccharides (EMMPs) display wide-ranging bioactivities, yet progress has been limited by siloed workflows. Extraction, structural analysis, and biological evaluation are often conducted independ...

Generation of proximal tubule spheroids for nephrotoxicity assessment

Background To date, nephrotoxicity in new drug development has been evaluated through two-dimensional culture of representative cell lines, such as HK-2 and human proximal tubule epithelial cells (hPTECs). Approximately 20% of new drugs tha...

Metabolomic sweet spot clock predicts mortality and age-related diseases in the Canadian Longitudinal Study on Aging

Abstract Background Chronological age does not capture individual health or resilience. Advances in metabolomics have enabled development of molecular aging biomarkers that capture deviations between biological and chronological age, highli...

An Object-Based Image Analysis Method for Monitoring Land Conversion by Artificial Sprawl Use of RapidEye and IRS Data

In France, in the peri-urban context, urban sprawl dynamics are particularly strong with huge population growth as well as a land crisis. The increase and spreading of built-up areas from the city centre towards the periphery takes place to...

Controlled Plasmonic Coupling in Silver Nanoplate Dimers for Enhanced Plasmonic Sensing

Noble metal nanostructures provide versatile platforms for light manipulation through localized surface plasmon resonances (LSPRs). Among them, triangular silver nanoplates (AgNPTs) exhibit strong field-enhancement and spectral tunability, ...

The use of melting curves as a novel approach for validation of real-time PCR instruments

Validation of PCR thermal cycler performance is crucial in order to obtain reliable results. In this study, high resolu- tion melting curve (HRM) analysis is presented as a novel validation method for real-time PCR instruments. By ap- plyin...

Developing a Rational, Optimized Product of Centella asiatica for Examination in Clinical Trials: Real World Challenges

Botanical products are frequently sold as dietary supplements and their use by the public is increasing in popularity. However, scientific evaluation of their medicinal benefits presents unique challenges due to their chemical complexity, i...

CaReAl: capturing read alignments in a BAM file rapidly and conveniently

Abstract Some of the variants detected by high-throughput sequencing (HTS) are often not reproducible. To minimize the technical-induced artifacts, secondary experimental validation is required but this step is unnecessarily slow and expens...

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training l...

Data resource profile: a nationally representative linked pregnancy cohort in Canada integrating clinical, social, and environmental data

Introduction Perinatal outcomes are shaped by clinical, social, and environmental factors, yet Canada lacks a nationally representative pregnancy cohort capturing these influences at the individual-level. This gap has limited the ability to...

Extracellular vesicles as circulating cancer biomarkers: opportunities and challenges

Abstract Extracellular vesicles (EVs) are small, lipid-bound particles containing nucleic acid and protein cargo which are excreted from cells under a variety of normal and pathological conditions. EVs have garnered substantial research int...

MAINSTREAMING METADATA INTO RESEARCH WORKFLOWS TO ADVANCE REPRODUCIBILITY AND OPEN GEOGRAPHIC INFORMATION SCIENCE

Reproducible open science with FAIR data sharing principles requires research to be disseminated with open data and standardised metadata. Researchers in the geographic sciences may benefit from authoring and maintaining metadata from the e...

Repurposing a commercial artificial intelligence vision platform for automated surgical instrument identification: a proof-of-concept study

Abstract Background Retained surgical items are classified as never events but continue to occur, and the count meant to prevent them is often recorded as correct even when an item is retained. Computer vision could provide an independent c...

Spyglass is a framework for reproducible and shareable neuroscience research.