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Domestic Violence

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

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A machine learning approach to automate microinfarct and microhemorrhage screening in hematoxylin and eosin-stained human brain tissues.

Microinfarcts and microhemorrhages are characteristic lesions of cerebrovascular disease. Although m...

Feb 2025 39724914
Evaluating the Impact of Changes in Artificial Intelligence-derived Case Scores over Time on Digital Breast Tomosynthesis Screening Outcomes.

Purpose To evaluate the change in digital breast tomosynthesis artificial intelligence (DBT-AI) case...

Feb 2025 39812586
Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.

Background Combined mammography and MRI screening is not universally accessible for women with inter...

Feb 2025 39903070
A Tale of Three Location Trackers: AirTag, SmartTag, and Tile

Bluetooth Low Energy (BLE) location trackers, or "tags", are popular consumer devices for monitori...

A Brain Age Residual Biomarker (BARB): Leveraging MRI-Based Models to Detect Latent Health Conditions in U.S. Veterans

Age prediction using brain imaging, such as MRIs, has achieved promising results, with several stu...

Large language models streamline automated systematic review: A preliminary study

Large Language Models (LLMs) have shown promise in natural language processing tasks, with the pot...

CROPS: Model-Agnostic Training-Free Framework for Safe Image Synthesis with Latent Diffusion Models

With advances in diffusion models, image generation has shown significant performance improvements...

Microdroplet screening rapidly profiles a biocatalyst to enable its AI-assisted engineering

Engineering enzymes for increased efficiency is key to enabling sustainable, ‘green’ biocatalytic pr...

DeepRES: Deep learning enables reaction-based comprehensive enzyme screening

Enzymes accelerate biochemical reactions in living organisms, thus playing an important role in meta...

Extracellular Vesicle Gene Expression Enables Sensitive Detection of Colorectal Neoplasia

Extracellular vesicles (EVs), including exosomes, are emerging as promising carriers of disease-spec...

Accelerating Drug Discovery with HyperLab: An Easy-to-Use AI-Driven Platform

HyperLab, developed by HITS, is a web-based, AI-driven drug discovery platform designed to increase ...

Adaptive Feature-Weighted Stacking Ensemble for Short-Term Risk Prediction of Prolonged Length of Stay in Elderly Trauma Patients

The Adaptive Feature-Weighted Stacking Ensemble (AFWSE) model is presented here as a new machine lea...

Contrastive learning of adverse events to provide effective and interpretable vector representations for machine-assisted pharmacovigilance

Post-marketing surveillance is crucial for drug safety, yet the tools of pharmacovigilance rely sole...

SLOGEN: A Structure-based Lead Optimization Model Unifying Fragment Generation and Screening

Lead optimization plays an important role in preclinical drug discovery. While deep learning has acc...

A PLM-Based Method for Predicting Protein Ion Channel Modulators for Drug Discovery and Safety Evaluation

Ion channels are central to regulating neuronal communication, cardiac rhythm, and muscle contractio...

Ultrahigh throughput screening to train generative protein models for engineering specificity into unspecific peroxygenases

Enzyme engineering is central to developing biocatalysts with improved activity and specificity, yet...

HyperBind2: Multi-Shot Learning Enables Progressive Improvement in Computational Antibody Discovery

Antibody discovery remains constrained by resource-intensive experimental screening approaches that ...

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