AIMC Topic: Anti-Bacterial Agents

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Predicting Urine Culture Outcomes in Adult Patients Using Machine Learning with the Aim of Reducing Unnecessary Urine Cultures.

The journal of applied laboratory medicine
BACKGROUND: Urine cultures are frequently ordered tests with a low positivity rate. Development of a machine learning model to predict urine culture outcomes could not only reduce unnecessary urine cultures but also prevent preliminary antibiotic tre...

Machine learning assisted paper-based fluorescent sensor array with metal-doped multicolor carbon quantum dots for identification and inactivation of bacteria.

Talanta
Bacterial infection is a thorny threat in a variety of fields, including medicine, environment, food, and agriculture. A multifunctional platform that meets the demands of both bacterial identification and real-time inactivation is urgently needed. T...

β-lactam resistance: epidemiological trends, molecular drivers, and innovative control strategies in the post-pandemic era.

Clinical microbiology reviews
SUMMARY () is a major human pathogen that can cause severe diseases such as meningitis and bacteremia. β-lactam antibiotics are the most essential antimicrobial agents for treating infections, but the resistance has become a significant challenge in...

Artificial intelligence-enhanced biosurveillance for antimicrobial resistance in sub-Saharan Africa.

International health
Antimicrobial resistance (AMR) remains a critical global health threat, with significant impacts on individuals and healthcare systems, particularly in low-income countries. By 2019, AMR was responsible for >4.9 million fatalities globally, and proje...

Predictive models to determine best strategy for metaphylaxis application in cattle at arrival to a feedyard.

Preventive veterinary medicine
Metaphylaxis, the application of an antimicrobial to a cohort of cattle at arrival to a feedyard, is an important bovine respiratory disease (BRD) control strategy for certain cattle populations. Predictive modeling techniques could be used to assist...

One-pot synthesized multifunctional Zn-MOF/HOF heterostructure sensor array assisted by machine learning for efficient capture, target discrimination and optosmart sensing of doxycycline analogs.

Journal of hazardous materials
The ideal multifunctional platform that combines the capabilities of effective capture, sensitive detection, and accurate identification of doxycycline analogs (DCs) remains a serious challenge for ensuring the environment and food security. This wor...

Genomic and machine learning approaches to predict antimicrobial resistance in .

Microbiology spectrum
UNLABELLED: is a multidrug-resistant pathogen, which poses a major challenge to clinical management due to its increasing resistance to common antibiotics, such as levofloxacin (LEV) and trimethoprim-sulfamethoxazole (SXT), and poor clinical respons...

A solution to the postantibiotic era: phages as precision medicine.

Current opinion in microbiology
Antibiotic-resistant bacterial infections pose a significant global health challenge. Phage therapy provides a promising alternative to antibiotics that enables the specific targeting of pathogenic bacteria while preserving the healthy microbiome. Re...

Evaluating the impact of artificial intelligence in antimicrobial stewardship: a comparative meta-analysis with traditional risk scoring systems.

Infectious diseases now
OBJECTIVES: The growing challenge of antimicrobial resistance (AMR) has underscored the urgent need for robust antimicrobial stewardship programs (AMS). Artificial intelligence (AI) and machine learning (ML) have emerged as promising tools to support...

Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Microbial pathogenesis
Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising virulence and antibiotic resistance. As one of the leading members of ESKAPE pathogens, it plays a major role in a wide range of infections that cause ...