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Universal precautions

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

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Incorporating Machine Learning Strategies to Smart Gloves Enabled by Dual-Network Hydrogels for Multitask Control and User Identification.

Smart gloves are often used in human-computer interaction scenarios due to their portability and eas...

US2Mask: Image-to-mask generation learning via a conditional GAN for cardiac ultrasound image segmentation.

Cardiac ultrasound (US) image segmentation is vital for evaluating clinical indices, but it often de...

Pan-cancer image segmentation based on feature pyramids and Mask R-CNN framework.

BACKGROUND: Cancer, a disease with a high mortality rate, poses a great threat to patients' physical...

Deep Learning for Face Detection and Pain Assessment in Japanese macaques ().

Facial expressions have increasingly been used to assess emotional states in mammals. The recognitio...

A Novel Data Augmentation Approach Using Mask Encoding for Deep Learning-Based Asynchronous SSVEP-BCI.

Deep learning (DL)-based methods have been successfully employed as asynchronous classification algo...

Raman spectrum combined with deep learning for precise recognition of Carbapenem-resistant Enterobacteriaceae.

Carbapenem-resistant Enterobacteriaceae (CRE) is a major pathogen that poses a serious threat to hum...

Retrospective survey of using a novel validated real-time PCR assay.

, an aggressive plant pathogen, causes symptoms on a variety of crops and ornamental plants includin...

Study of helminth eggs ( inactivation by anaerobic digestion and electrochemical treatment.

BACKGROUND: The use of insufficiently treated wastewater or Faecal sludge in agriculture raises conc...

Toward the novel AI tasks in infection biology.

Machine learning and artificial intelligence (AI) are becoming more common in infection biology labo...

identification of human microRNAs pointing centrin genes in : Considering the RNAi-mediated gene control.

Leishmaniasis, a parasitic disease caused by different species of the protozoa parasite , is a negle...

Donor hepatitis C status is not associated with an increased risk of acute rejection in kidney transplantation.

INTRODUCTION: In renal transplantation, donor hepatitis C virus (HCV) status is crucial to consider ...

Comparison between a deep-learning and a pixel-based approach for the automated quantification of HIV target cells in foreskin tissue.

The availability of target cells expressing the HIV receptors CD4 and CCR5 in genital tissue is a cr...

Machine Learning Bolsters Evidence That D1, Nef, and Tat Influence HIV Reservoir Dynamics.

BACKGROUND: The primary hurdle to curing HIV is due to the establishment of a reservoir early in inf...

Novel graph-based machine-learning technique for viral infectious diseases: application to influenza and hepatitis diseases.

BACKGROUND: Most infectious diseases are caused by viruses, fungi, bacteria and parasites. Their abi...

From Skin Movement to Wearable Robotics: The Case of Robotic Gloves.

Previous research on wearable robotics focused on developing actuation mechanisms while overlooking ...

Coordinating virus research: The Virus Infectious Disease Ontology.

The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Rapid, acc...

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