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Universal precautions

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

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Investigating Novel IspE Inhibitors of the MEP Pathway in Mycobacterium.

In a recent effort to mitigate harm from human pathogens, many biosynthetic pathways have been exten...

Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage.

Soybean ( (L.) Merr.) is a major source of oil and protein for human food and animal feed; however, ...

Machine learning and experimental screening of chromatin regulator signatures and potential drugs in hepatitis B related hepatocellular carcinoma.

Many evidences have confirmed that chromatin regulator factors (CRs) are involved in the progression...

Deployment and assessment of a deep learning model for real-time detection of anal precancer with high frame rate high-resolution microendoscopy.

Anal cancer incidence is significantly higher in people living with HIV as HIV increases the oncogen...

Efficiency of face mask ventilation before and after neuromuscular blockade: A randomised, double-blind controlled study.

BACKGROUND AND AIMS: The traditional practice of administrating neuromuscular blocking drugs (NMBDs)...

Screening and Identification of DNA Nanostructure Aptamer Using the SELEX Method for ‎Detection of Epsilon Toxin.

BACKGROUND: Epsilon toxin (ETX), produced by , is one of the most potent toxins known, with a lethal...

Detection of the separated endodontic instrument on periapical radiographs using a deep learning-based convolutional neural network algorithm.

The study evaluated the diagnostic performance of an artificial intelligence system to detect separa...

Detection of safety helmet and mask wearing using improved YOLOv5s.

With the advancement of society, ensuring the safety of personnel involved in municipal construction...

Validation of a Bacteriophage Hide Application to Reduce STEC in the Lairage Area of Commercial Beef Cattle Operations.

Finalyse, a T4 bacteriophage, is a pre-harvest intervention that utilizes a combination of bacteriop...

The application of artificial intelligence in the management of sepsis.

Sepsis is a complex and heterogeneous syndrome that remains a serious challenge to healthcare worldw...

Waterborne pathogens detection technologies: advances, challenges, and future perspectives.

The World Health Organization (WHO) estimated that pathogens like Escherichia coli, primarily linked...

Characterization of a -targeting lytic bacteriophage SSJ01 and its application in artificial seawater.

is a major foodborne pathogen causing serious illnesses. In this study, a new lytic bacteriophage S...

Simple and Multiplexed Detection of Nucleic Acid Targets Based on Fluorescent Ring Patterns and Deep Learning Analysis.

Simple diagnostic tests for nucleic acid targets can provide great advantages for applications such ...

Anaerobic Digestion as a Core Technology in Addressing the Global Sanitation Crisis: Challenges and Opportunities.

Successfully addressing the complex global sanitation problem is a massive undertaking. Anaerobic di...

Leveraging automated approaches to categorize birth defects from abstracted birth hospitalization data.

BACKGROUND: The Surveillance for Emerging Threats to Pregnant People and Infants Network (SET-NET) c...

Mask R-CNN based multiclass segmentation model for endotracheal intubation using video laryngoscope.

OBJECTIVE: Endotracheal intubation (ETI) is critical to secure the airway in emergent situations. Al...

Plant disease identification using contextual mask auto-encoder optimized with dynamic differential annealed optimization algorithm.

Most of the food consumed worldwide is produced by plants. Plant disease is a major cause of reduced...

Innovative applications of artificial intelligence in zoonotic disease management.

Zoonotic diseases, transmitted between humans and animals, pose a substantial threat to global publi...

Risk of sexual transmission of HIV in the context of viral load suppression.

BACKGROUND: In 2018, the Public Health Agency of Canada (PHAC) published a systematic review to calc...

An intronic genetic variant of ZHX2 predicts response to pegylated interferon α therapy in HBeAg-positive chronic hepatitis B patients.

ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...

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