Primary Care

Preventive Care

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

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Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.

The readily available high throughput screening (HTS) data from the PubChem database provides an opp...

and cell-based analyses reveal strong divergence between prediction and observation of T-cell-recognized tumor antigen T-cell epitopes.

Tumor exomes provide comprehensive information on mutated, overexpressed genes and aberrant splicing...

DeepPap: Deep Convolutional Networks for Cervical Cell Classification.

Automation-assisted cervical screening via Pap smear or liquid-based cytology (LBC) is a highly effe...

Provider-specific quality measurement for ERCP using natural language processing.

BACKGROUND AND AIMS: Natural language processing (NLP) is an information retrieval technique that ha...

Deep image mining for diabetic retinopathy screening.

Deep learning is quickly becoming the leading methodology for medical image analysis. Given a large ...

Novel Screening Tool for Stroke Using Artificial Neural Network.

BACKGROUND AND PURPOSE: The timely diagnosis of stroke at the initial examination is extremely impor...

Towards automatic pulmonary nodule management in lung cancer screening with deep learning.

The introduction of lung cancer screening programs will produce an unprecedented amount of chest CT ...

The influence of the negative-positive ratio and screening database size on the performance of machine learning-based virtual screening.

The machine learning-based virtual screening of molecular databases is a commonly used approach to i...

Shared Consensus Machine Learning Models for Predicting Blood Stage Malaria Inhibition.

The development of new antimalarial therapies is essential, and lowering the barrier of entry for th...

Ontology-based literature mining of E. coli vaccine-associated gene interaction networks.

BACKGROUND: Pathogenic Escherichia coli infections cause various diseases in humans and many animal ...

Screening of autism based on task-free fMRI using graph theoretical approach.

Studies on autism spectrum disorder (ASD) have indicated several dysfunctions in the structure, and ...

Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.

BACKGROUND: Analysing public opinions on HPV vaccines on social media using machine learning based a...

RABiT-II: Implementation of a High-Throughput Micronucleus Biodosimetry Assay on Commercial Biotech Robotic Systems.

We demonstrate the use of high-throughput biodosimetry platforms based on commercial high-throughput...

A retrospective study on screening and management of osteoporosis in breast cancer women treated with aromatase inhibitors in Libya.

Negative health effects of aromatase inhibitors (AI) treatments on bones such as osteoporosis are ev...

Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.

Individuals with colorectal cancer (CRC) have a tendency to intestinal bleeding which may result in ...

Enhancing the Biological Relevance of Machine Learning Classifiers for Reverse Vaccinology.

Reverse vaccinology (RV) is a bioinformatics approach that can predict antigens with protective pote...

Design and preliminary evaluation of a self-steering, pneumatically driven colonoscopy robot.

Colonoscopy is a diagnostic procedure to detect pre-cancerous polyps and tumours in the colon, and i...

Three-Class Mammogram Classification Based on Descriptive CNN Features.

In this paper, a novel classification technique for large data set of mammograms using a deep learni...

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