文献出处:Tran Quoc V, Nguyen Thi Ngoc D, Nguyen Hoang T, Vu Thi H, Tong Duc M, Do Pham Nguyet T, Nguyen Van T, Ho Ngoc D, Vu Son G, Bui Duc T. Predicting Antibiotic Resistance in ICUs Patients by Applying Mac...
Intrinsic genetic mutations and transferrable antibiotic resistance genes (ARGs) are at the core of the development of antibiotic resistance. However, traditional alignment methods for detecting ARGs have limitations. Artificial intelligence (AI) methods and approaches can potentially augme...
A newstudypublished inJAMA Pediatricsfound that an artificial intelligence (AI)-based clinical decision-making tool can help improve antibiotic stewardship for diarrheal disease in settings with poor sanitation and hygiene. According to the World Health Organization (WHO),diarrheal diseaseis ...
Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools...
Antibiotic resistance is an emerging global danger. Reaching responsible prescribing decisions requires the integration of broad and complex information. Artificial intelligence tools could support decision-making at multiple levels, but building them needs a transparent co-development approach to ensure their...
"Our next step was to train artificial intelligence algorithms with this data such that they could learn to detect antibiotic resistance on their own," says Karsten Borgwardt, professor in the Department of Biosystems Science and Engineering at ETH Zurich in Basel, who led the study together with...
Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory tests, the drug killed many of the world's most problematic disease-causing bacteria, including some strains that are resistant to all k
The fight against antibiotic resistance is growing more urgent, but artificial intelligence can help by Vrinda Nair and Rachael (Ré) A Mansbach,The Conversation Credit: AI-generated image (disclaimer) Since the discovery of penicillin in the late 1920s, antibiotics have "revolutionized medicine and...
N. et al. Identifying producers of antibacterial compounds by screening for antibiotic resistance. Nat. Biotechnol. 31, 922–927 (2013). Article CAS PubMed Google Scholar Alcock, B. P. et al. CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database. ...
Background Effective and rapid diagnostic strategies are required to manage antibiotic resistance in Klebsiella pneumonia (KP). This study aimed to design an artificial intelligence-clinical decision support system (AI-CDSS) using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry...