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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Showing 1828-1848 of 3,004 articles
Raspberry PhenoSet: A Phenology-based Dataset for Automated Growth Detection and Yield Estimation

The future of the agriculture industry is intertwined with automation. Accurate fruit detection, y...

PathoGen-X: A Cross-Modal Genomic Feature Trans-Align Network for Enhanced Survival Prediction from Histopathology Images

Accurate survival prediction is essential for personalized cancer treatment. However, genomic data...

Machine learning-driven in-hospital mortality prediction in HIV/AIDS patients with infection: a single-centred retrospective study.

() is a widely disseminated betaherpesvirus that typically induces latant infections. In immunocom...

Nov 2024 39606806
Referring Human Pose and Mask Estimation in the Wild

We introduce Referring Human Pose and Mask Estimation (R-HPM) in the wild, where either a text or ...

Review on article of preoperative prediction in chronic hepatitis B virus patients using spectral computed tomography and machine learning.

This letter comments on the article that developed and tested a machine learning model that predicts...

Oct 2024 39493332
Development of a Machine Learning Modeling Tool for Predicting HIV Incidence Using Public Health Data From a County in the Southern United States.

BACKGROUND: Advancements in machine learning (ML) have improved the accuracy of models that predict ...

Sep 2024 38393832
Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach

The recent advancements in artificial intelligence (AI), with the release of several large models ...

Structural causal influence (SCI) captures the forces of social inequality in models of disease dynamics

Mathematical modelling has served a central role in studying how infectious disease transmission m...

Bayesian estimation of transmission networks for infectious diseases

Reconstructing transmission networks is essential for identifying key factors like superspreaders ...

Using Machine Learning to Identify Patients at Risk of Acquiring HIV in an Urban Health System.

BACKGROUND: Effective measures exist to prevent the spread of HIV. However, the identification of pa...

Sep 2024 39116330
Identification of putative coral pathogens in endangered Caribbean staghorn coral using machine learning.

Coral diseases contribute to the rapid decline in coral reefs worldwide, and yet coral bacterial pat...

Sep 2024 39289821
Improving Adversarial Transferability with Neighbourhood Gradient Information

Deep neural networks (DNNs) are known to be susceptible to adversarial examples, leading to signif...

Leaf Angle Estimation using Mask R-CNN and LETR Vision Transformer

Modern day studies show a high degree of correlation between high yielding crop varieties and plan...

AI-based IsAb2.0 for antibody design.

Therapeutic antibody design has garnered widespread attention, highlighting its interdisciplinary im...

Jul 2024 39285513
A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation

The age estimation task aims to use facial features to predict the age of people and is widely use...

Diff4VS: HIV-inhibiting Molecules Generation with Classifier Guidance Diffusion for Virtual Screening

The AIDS epidemic has killed 40 million people and caused serious global problems. The identificat...

Accelerating MRI Uncertainty Estimation with Mask-based Bayesian Neural Network

Accurate and reliable Magnetic Resonance Imaging (MRI) analysis is particularly important for adap...

SafaRi:Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation

Referring Expression Segmentation (RES) aims to provide a segmentation mask of the target object i...

PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model

Pathogen identification is pivotal in diagnosing, treating, and preventing diseases, crucial for c...

Unsupervised representation learning with Hebbian synaptic and structural plasticity in brain-like feedforward neural networks

Neural networks that can capture key principles underlying brain computation offer exciting new op...

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