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Universal precautions

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

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FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation.

The increase of available large clinical and experimental datasets has contributed to a substantial ...

Inferring pointwise diffusion properties of single trajectories with deep learning.

To characterize the mechanisms governing the diffusion of particles in biological scenarios, it is e...

Application of multiple-finding segmentation utilizing Mask R-CNN-based deep learning in a rat model of drug-induced liver injury.

Drug-induced liver injury (DILI) presents significant diagnostic challenges, and recently artificial...

Novel plant disease detection techniques-a brief review.

Plant pathogens cause severe losses to agricultural yield worldwide. Tracking plant health and early...

RefinePocket: An Attention-Enhanced and Mask-Guided Deep Learning Approach for Protein Binding Site Prediction.

Protein binding site prediction is an important prerequisite task of drug discovery and design. Whil...

Crack control optimization of basement concrete structures using the Mask-RCNN and temperature effect analysis.

In order to enhance the mitigation of crack occurrence and propagation within basement concrete stru...

A Machine Learning Approach to Predict HIV Viral Load Hotspots in Kenya Using Real-World Data.

BACKGROUND: Machine learning models are not in routine use for predicting HIV status. Our objective ...

Effector translocation and rational design of disease resistance.

The effector repertoire of a pathogen is dynamically evolving. However, the effector translocation m...

AlphaFold-Multimer predicts cross-kingdom interactions at the plant-pathogen interface.

Adapted plant pathogens from various microbial kingdoms produce hundreds of unrelated small secreted...

Behind the mask: a critical perspective on the ethical, moral, and legal implications of AI in ophthalmology.

PURPOSE: This narrative review aims to provide an overview of the dangers, controversial aspects, an...

Beam mask and sliding window-facilitated deep learning-based accurate and efficient dose prediction for pencil beam scanning proton therapy.

BACKGROUND: Accurate and efficient dose calculation is essential for on-line adaptive planning in pr...

Gray-to-color image conversion in the classification of breast lesions on ultrasound using pre-trained deep neural networks.

Breast ultrasound (BUS) image classification in benign and malignant classes is often based on pre-t...

Confidence-guided mask learning for semi-supervised medical image segmentation.

Semi-supervised learning aims to train a high-performance model with a minority of labeled data and ...

Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection.

BACKGROUND/AIMS: The prediction of clinical outcomes in patients with chronic hepatitis B (CHB) is p...

Programmable magnetic robot (ProMagBot) for automated nucleic acid extraction at the point of need.

Upstream sample preparation remains the bottleneck for point-of-need nucleic acid testing due to its...

A Novel Soft Glove Utilizing Honeycomb Pneumatic Actuators (HPAs) for Assisting Activities of Daily Living.

Fabric-based pneumatic actuators (FPAs) are extensively employed in the design of lightweight and co...

Deep-learning-enabled protein-protein interaction analysis for prediction of SARS-CoV-2 infectivity and variant evolution.

Host-pathogen interactions and pathogen evolution are underpinned by protein-protein interactions be...

Sparser spiking activity can be better: Feature Refine-and-Mask spiking neural network for event-based visual recognition.

Event-based visual, a new visual paradigm with bio-inspired dynamic perception and μs level temporal...

A Review of the Systemic Manifestations of Hepatitis B Virus Infection, Hepatitis D Virus, Hepatocellular Carcinoma, and Emerging Therapies.

Chronic hepatitis B virus (HBV) infection affects about 262 million people worldwide, leading to ove...

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