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Domestic Violence

Latest AI and machine learning research in domestic violence for healthcare professionals.

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Biomacromolecule-Assisted Screening for Reaction Discovery and Catalyst Optimization.

Reaction discovery and catalyst screening lie at the heart of synthetic organic chemistry. While the...

Reacting and responding to rare, uncertain and unprecedented events.

This work examines how we may be able to anticipate, respond to, and train for the occurrence of rar...

SCORCH: Improving structure-based virtual screening with machine learning classifiers, data augmentation, and uncertainty estimation.

INTRODUCTION: The discovery of a new drug is a costly and lengthy endeavour. The computational predi...

Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets.

BACKGROUND: The US Food and Drug Administration (FDA) collects and retains several data sets on post...

In-depth evaluation of machine learning methods for semi-automating article screening in a systematic review of mechanistic literature.

We aimed to evaluate the performance of supervised machine learning algorithms in predicting article...

Drug Metabolism: A Half-Century Plus of Progress, Continued Needs, and New Opportunities.

The systematic study of drug metabolism began in the 19th Century, but most of what we know now has ...

Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks.

The Black Sea is an important ecosystem, which is affected by various anthropogenic pressures, such ...

DeepBindBC: A practical deep learning method for identifying native-like protein-ligand complexes in virtual screening.

Identifying native-like protein-ligand complexes (PLCs) from an abundance of docking decoys is criti...

Nucleoside Triphosphate Hydrolases Assay in Toxoplasm gondii and Neospora caninum for High-Throughput Screening using a Robot Arm.

Protozoan parasites infect humans and many warm-blooded animals. Toxoplasma gondii, a major protozoa...

Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.

The study aims to measure the effectiveness of an AI-based traumatic intracranial hemorrhage predict...

Research on Anomaly Identification and Screening and Metallogenic Prediction Based on Semisupervised Neural Network.

This paper firstly introduces the background of the research on neural network and anomaly identific...

Histologic Screening of Malignant Melanoma, Spitz, Dermal and Junctional Melanocytic Nevi Using a Deep Learning Model.

OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead t...

Deep learning for automatic brain tumour segmentation on MRI: evaluation of recommended reporting criteria via a reproduction and replication study.

OBJECTIVES: To determine the reproducibility and replicability of studies that develop and validate ...

Argument mining as rapid screening tool of COVID-19 literature quality: Preliminary evidence.

BACKGROUND: The COVID-19 pandemic prompted the scientific community to share timely evidence, also i...

Collaborative deep learning model for tooth segmentation and identification using panoramic radiographs.

Panoramic radiographs are an integral part of effective dental treatment planning, supporting dentis...

Machine Learning in the Prediction of Trauma Outcomes: A Systematic Review.

STUDY OBJECTIVE: Machine learning models carry unique potential as decision-making aids and predicti...

Artificial Intelligence System for Automatic Quantitative Analysis and Radiology Reporting of Leg Length Radiographs.

Leg length discrepancies are common orthopedic problems with the potential for poor functional outco...

Phenotypic screening with deep learning identifies HDAC6 inhibitors as cardioprotective in a BAG3 mouse model of dilated cardiomyopathy.

Dilated cardiomyopathy (DCM) is characterized by reduced cardiac output, as well as thinning and enl...

Generalising from conventional pipelines using deep learning in high-throughput screening workflows.

The study of complex diseases relies on large amounts of data to build models toward precision medic...

AI-based prediction of new binding site and virtual screening for the discovery of novel P2X3 receptor antagonists.

Artificial intelligence (AI) has been recognized as a powerful technique that can accelerate drug di...

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