Primary Care

Preventive Care

Latest AI and machine learning research in preventive care for healthcare professionals.

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A generalised computer vision model for improved glaucoma screening using fundus images.

IMPORTANCE: Worldwide, glaucoma is a leading cause of irreversible blindness. Timely detection is pa...

Screening for Potential Antiviral Compounds from Cyanobacterial Secondary Metabolites Using Machine Learning.

The secondary metabolites of seawater and freshwater blue-green algae are a rich natural product poo...

Screening of CAD-related secretory genes associated with type II diabetes based on comprehensive bioinformatics analysis and machine learning.

BACKGROUND: Type II diabetes mellitus (T2DM) is strongly linked with a heightened risk of coronary a...

Screening the Best Risk Model and Susceptibility SNPs for Chronic Obstructive Pulmonary Disease (COPD) Based on Machine Learning Algorithms.

BACKGROUND AND PURPOSE: Chronic obstructive pulmonary disease (COPD) is a common and progressive dis...

HarDNet-based deep learning model for osteoporosis screening and bone mineral density inference from hand radiographs.

PURPOSE: Osteoporosis, affecting over 200 million individuals, often remains unrecognized and untrea...

Semi-automated title-abstract screening using natural language processing and machine learning.

BACKGROUND: Title-abstract screening in the preparation of a systematic review is a time-consuming t...

Pioneering diabetes screening tool: machine learning driven optical vascular signal analysis.

The escalating prevalence of diabetes mellitus underscores the critical need for non-invasive screen...

Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer.

Early screening is crucial in reducing the mortality of colorectal cancer (CRC). Current screening m...

Automated-Screening Oriented Electric Sensing of Vitamin B1 Using a Machine Learning Aided Solid-State Nanopore.

Micronutrient detection and identification at the single-molecule level are paramount for both clini...

AlzyFinder: A Machine-Learning-Driven Platform for Ligand-Based Virtual Screening and Network Pharmacology.

Alzheimer's disease (AD), a prevalent neurodegenerative disorder, presents significant challenges in...

Screening biomarkers for autism spectrum disorder using plasma proteomics combined with machine learning methods.

BACKGROUND AND AIMS: Autism spectrum disorder (ASD) is a common neurodevelopmental disorder in child...

Evaluation of a deep learning-based software to automatically detect and quantify breast arterial calcifications on digital mammogram.

PURPOSE: The purpose of this study was to evaluate an artificial intelligence (AI) software that aut...

Enhancing the Predictive Power of Machine Learning Models through a Chemical Space Complementary DEL Screening Strategy.

DNA-encoded library (DEL) technology is an effective method for small molecule drug discovery, enabl...

Machine Learning-Driven Data Valuation for Optimizing High-Throughput Screening Pipelines.

In the rapidly evolving field of drug discovery, high-throughput screening (HTS) is essential for id...

Pre-training strategy for antiviral drug screening with low-data graph neural network: A case study in HIV-1 K103N reverse transcriptase.

Graph neural networks (GNN) offer an alternative approach to boost the screening effectiveness in dr...

Enhancing endometrial cancer detection: Blood serum intrinsic fluorescence data processing and machine learning application.

Endometrial cancer (EC) is the most prevalent cancer within the female reproductive system in develo...

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