Domestic Violence

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

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

Construction accident narrative classification: An evaluation of text mining techniques.

Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss rep...

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...

Holographic deep learning for rapid optical screening of anthrax spores.

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

Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.

BACKGROUND: Successfully treating illicit drug use has become paramount, yet elusive. Devising speci...

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 ...

Artificial intelligence for analyzing orthopedic trauma radiographs.

Background and purpose - Recent advances in artificial intelligence (deep learning) have shown remar...

Classification and analysis of a large collection of in vivo bioassay descriptions.

Testing potential drug treatments in animal disease models is a decisive step of all preclinical dru...

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 ...

Rapid characterization of metabolites in soybean using ultra high performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI-Q-TOF-MS/MS) and screening for α-glucosidase inhibitory and antioxidant properties through different solvent systems.

This work was the first to investigate on the simultaneous characterization of metabolite profiles i...

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...

Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.

OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to bet...

Novel Imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxides as antiproliferative trypanosoma cruzi drugs: Computational screening from neural network, synthesis and in vivo biological properties.

A new family of imidazo[4,5-c][1,2,6]thiadiazine 2,2-dioxide with antiproliferative Trypanosoma cruz...

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...

Utilization of machine learning for prediction of post-traumatic stress: a re-examination of cortisol in the prediction and pathways to non-remitting PTSD.

To date, studies of biological risk factors have revealed inconsistent relationships with subsequent...

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 ...

A Response to the Validity of an Article Reporting Contrary Cleaning Efficacy Results for Robotic Surgical Instruments.