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Antimicrobial resistance (AMR) is an urgent public health threat. Advancements in artificial intelligence (AI) and increases in computational power have resulted in the adoption of AI for biological tasks. This review explores the application of AI in bacterial infection diagnostics, AMR surveillance, and antibiotic discovery. We summarize contemporary AI models applied to each of these domains, important considerations when applying AI across diverse tasks, and current limitations in the field.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11906734 | PMC |
http://dx.doi.org/10.1038/s44259-025-00085-4 | DOI Listing |
Syst Rev
March 2025
Faculdade de Educação Física E Dança, Universidade Federal de Goiás, Goiânia, Brazil.
Background: Understanding university students' health-related quality of life (HRQoL) can help propose strategies that support targeted care for this population and identify issues affecting these individuals. Therefore, it is necessary to identify the commonly used instruments and possible study designs for the university population, enabling the standardization of interventions and instruments to evaluate the HRQoL of university students. We aim to conduct a scoping review to identify the main measurement instruments and key characteristics in studies using HRQoL measures among university students.
View Article and Find Full Text PDFSyst Biol Reprod Med
December 2025
Department of Production Animal Studies, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa.
The objective of this study was to evaluate the effect of a tannin-rich extract from commercial (MTE_0), and gallocatechin, a flavonoid compound derived from , on the long-term viability and motility of cryopreserved ovine semen. Six fresh ejaculates obtained from six adult merino rams twice per week for three weeks were allocated to five aliquots (0, 12.5, 25, 50, and 100 µM gallocatechin added into the Optidyl™ extender) before cooling and cryopreservation.
View Article and Find Full Text PDFNPJ Antimicrob Resist
March 2025
Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, ON, Canada.
Antimicrobial resistance (AMR) is an urgent public health threat. Advancements in artificial intelligence (AI) and increases in computational power have resulted in the adoption of AI for biological tasks. This review explores the application of AI in bacterial infection diagnostics, AMR surveillance, and antibiotic discovery.
View Article and Find Full Text PDFJACC Heart Fail
February 2025
National Heart Centre, Singapore, Singapore.
Annu Int Conf IEEE Eng Med Biol Soc
July 2024
Wearable cardiac monitors can be used to detect potential heart attack by syncing with smartphone apps for instant data analysis and alerts. Our goal is to build an efficient smart health application to help patients prevent and early diagnose the risk of heart disease. Our novel hybrid transformer neural network model can effectively predict the occurrence of heart disease and prevent it early.
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