Antimicrobial resistance: a concise update

CS Ho, CTH Wong, TT Aung… - The Lancet …, 2024 - thelancet.com
Antimicrobial resistance (AMR) is a serious threat to global public health, with approximately
5 million deaths associated with bacterial AMR in 2019. Tackling AMR requires a …

[HTML][HTML] Getting up to speed: rapid pathogen and antimicrobial resistance diagnostics in sepsis

MP Liborio, PNA Harris, C Ravi, AD Irwin - Microorganisms, 2024 - mdpi.com
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to
infection. Time to receive effective therapy is a primary determinant of mortality in patients …

Microfluidic chip systems for color-based antimicrobial susceptibility test A review

YZAN Qureshi, M Li, H Chang, Y Song - Biosensors and Bioelectronics, 2025 - Elsevier
Clinical bacteria pose a significant public health threat, underscoring the need for reliable
and rapid diagnostic methods for early disease detection, which can facilitate patient …

Rapid and precise treatment selection for antimicrobial-resistant infection enabled by a nano-dilution SlipChip

Q Wang, X Li, Q Hu, L Xu, W Chen, J Liu, N Wu… - Biosensors and …, 2025 - Elsevier
Antimicrobial resistance (AMR) has become an increasingly severe threat to global health,
and AMR-associated infection is one of the leading causes of death around the world. Due …

[HTML][HTML] Rapid detection of microbial antibiotic susceptibility via deep learning supported analysis of angle-resolved scattered-light images of picoliter droplet …

M Graf, A Sarkar, CM Svensson, AS Munser… - Sensors and Actuators B …, 2025 - Elsevier
The progressive increase in microbial resistance to antibiotics is a global health threat that
requires solutions for rapid and reliable determination of antibiotic susceptibility in order to …

[HTML][HTML] The Role of Artificial Intelligence and Machine Learning in Predicting and Combating Antimicrobial Resistance

H Bilal, MN Khan, S Khan, M Shafiq, W Fang… - Computational and …, 2025 - Elsevier
Antimicrobial resistance (AMR) is a major threat to global public health. The current review
synthesizes to address the possible role of Artificial Intelligence and Machine Learning …

PerSceptoMed 1.0: An advanced machine learning model for demographic-based antibiotic susceptibility prediction in Pseudomonas aeruginosa infections

SP Routray, S Mahapatra, DSK Nayak, S Sahoo… - … Applications of Artificial …, 2025 - Elsevier
Background Antimicrobial resistance caused by Pseudomonas aeruginosa is a pressing
global health issue impacting both hospitals and communities. Methodology We analyzed …

Real-time evaluation of macozinone activity against Mycobacterium tuberculosis through bacterial nanomotion analysis

A Vocat, A Luraschi-Eggemann, C Antoni… - Antimicrobial Agents …, 2024 - journals.asm.org
Novel drugs and improved diagnostics for Mycobacterium tuberculosis (MTB) are urgently
needed and go hand in hand. We evaluated the in vitro activity of two benzothiazinone drug …

Nanomotion technology: an innovative method to study cell metabolism in Escherichia coli, as a potential indicator for tolerance

C Aubry, C Kebbi-Beghdadi… - Journal of Medical …, 2024 - microbiologyresearch.org
Introduction. Antibiotic tolerance corresponds to the bacterial ability to survive a transient
exposure to antibiotics and is often associated with treatment failure. Current methods of …

Ultra-rapid, Quantitative, Label-free Antibiotic Susceptibility Testing via Optically Detected Purine Metabolites

R Premasiri, A Fraiman, L Ziegler - arXiv preprint arXiv:2408.16996, 2024 - arxiv.org
There is an urgent need for the development of novel and truly rapid (equal or less than 1
hour) antibiotic susceptibility testing (AST) platforms in order to provide best antimicrobial …