AIMC Topic: Anti-Bacterial Agents

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Severe community-acquired pneumonia (sCAP): advances in management and future directions.

Thorax
Severe community-acquired pneumonia (sCAP) is a major global health challenge, with high morbidity and mortality, especially among patients requiring intensive care. Despite advancements in antimicrobial therapies and supportive care, sCAP remains a ...

Artificial intelligence in bacterial diagnostics and antimicrobial susceptibility testing: Current advances and future prospects.

Biosensors & bioelectronics
Recently, artificial intelligence (AI) has emerged as a transformative tool, enhancing the speed, accuracy, and scalability of bacterial diagnostics. This review explores the role of AI in revolutionizing bacterial detection and antimicrobial suscept...

Antibacterial, Antifreezing, and Tough Electronic Skin Based on a Tanned Collagen Fiber Network for Underwater Grabber Application.

ACS applied materials & interfaces
The environment of underwater salvage is very special, and many factors such as real-time water conditions, the depth of salvage, and the complexity of underwater conditions could greatly affect the smooth progress of the salvage process. How to accu...

A Closed-Loop Environmental Health Management Platform: A Multifunctional MgFeO Nanoparticle Enabling AI-Enhanced Detection, Bioimaging, and Degradation of Tetracycline Antibiotics.

Analytical chemistry
Emerging pollutants such as tetracycline antibiotics (TCs) have garnered attention due to their ecological impacts and the evolution of drug resistance. However, the comprehensive monitoring of TCs remains inadequate. This study presents a multifunct...

Clinical Decision Support for Septic Shock in the Emergency Department: A Cluster Randomized Trial.

Pediatrics
BACKGROUND AND OBJECTIVES: Delays in septic shock diagnosis cause preventable mortality in children. Evidence is limited around early recognition strategies. The hypothesis was that clinical decision support (CDS) based on machine-learning predictive...

Novel robotic tools used for the detection of faecal shedding of Escherichia coli resistant to critically important antimicrobials in healthy dogs.

Veterinary microbiology
Escherichia coli recovered from dogs with clinical conditions such as urinary tract infections are often used to assess populations for resistance to critically important antimicrobials (CIAs). Despite the potential importance of such strains, the nu...

Machine learning-assisted ratiometric fluorescence sensor array for recognition of multiple quinolones antibiotics.

Food chemistry
Developing analytical methods for simultaneous detection of multiple antibiotic residues is crucial for environmental protection and human health. In this study, a dual lanthanide fluorescence probe (GDP-Eu-Tb) based on nucleotides has been designed....

Preparation of Active On-Demand Antibacterial Hydrogel Epidermis Electrodes Based on Flora Balance Strategy for Intelligent Prostheses.

ACS applied materials & interfaces
Hydrogel epidermis electrodes have demonstrated remarkable potential for stable electrophysiological signal acquisition in the field of intelligent prostheses. However, current hydrogel electrodes face challenges in providing on-demand antibacterial ...

Harnessing advances in mechanisms, detection, and strategies to combat antimicrobial resistance.

The Science of the total environment
Antimicrobial resistance (AMR) is a growing global health crisis, threatening the effectiveness of antibiotics and other antimicrobial agents, leading to increased morbidity, mortality, and economic burdens. This review article provides a comprehensi...

Antimicrobial peptide developed with machine learning sequence optimization targets drug resistant Staphylococcus aureus in mice.

The Journal of clinical investigation
As antimicrobial resistance rises, new antibacterial candidates are urgently needed. Using sequence space information from over 14,743 functional antimicrobial peptides (AMPs), we improved the antimicrobial properties of citropin 1.1, an AMP with wea...