Preventive Care

Full-driving soft robotic colonoscope in compliant colon tissue.

Robotic colonoscopy is an efficient examination method for finding malignant tumour in its early sta...

Radiomics and radiogenomics in lung cancer: A review for the clinician.

Lung cancer is responsible for a large proportion of cancer-related deaths across the globe, with de...

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model.

BACKGROUND: In general, academic but not community endoscopists have demonstrated adequate endoscopi...

Ab-initio conformational epitope structure prediction using genetic algorithm and SVM for vaccine design.

BACKGROUND AND OBJECTIVE: T-cell epitope structure identification is a significant challenging immun...

Machine learning and melanoma: The future of screening.

Diabetic retinopathy screening using deep neural network.

IMPORTANCE: There is a burgeoning interest in the use of deep neural network in diabetic retinal scr...

Artificial intelligence for breast cancer screening: Opportunity or hype?

Interpretation of mammography for breast cancer (BC) screening can confer a mortality benefit throug...

A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early ide...

Kinase inhibitor screening using artificial neural networks and engineered cardiac biowires.

Kinase inhibitors are often used as cancer targeting agents for their ability to prevent the activat...

Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.

Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in...

Interaction prediction in structure-based virtual screening using deep learning.

We introduce a deep learning architecture for structure-based virtual screening that generates fixed...

Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-l...

Identifying novel factor XIIa inhibitors with PCA-GA-SVM developed vHTS models.

There currently is renewed interest in blood clotting Factor XII as a potential target for thrombosi...

Rapid Life-Cycle Impact Screening Using Artificial Neural Networks.

The number of chemicals in the market is rapidly increasing, while our understanding of the life-cyc...

Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.

BACKGROUND: Machine learning tools identify patients with blood counts indicating greater likelihood...

Identification of immune correlates of protection in Shigella infection by application of machine learning.

BACKGROUND: Immunologic correlates of protection are important in vaccine development because they g...

Holographic deep learning for rapid optical screening of anthrax spores.

Establishing early warning systems for anthrax attacks is crucial in biodefense. Despite numerous st...

Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria.

The first challenge in the 2014 competition launched by the Teach-Discover-Treat (TDT) initiative as...

Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening.

In structure-based virtual screening, compound ranking through a consensus of scores from a variety ...

Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data.

BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more...

Energy-based Neural Networks as a Tool for Harmony-based Virtual Screening.

In Energy-Based Neural Networks (EBNNs), relationships between variables are captured by means of a ...