Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1177/156482650402500210 | DOI Listing |
Genes (Basel)
January 2025
Perinatal Pathology Consulting, 490 Dogwood Valley Drive, Atlanta, GA 30342, USA.
Oropouche virus (OROV) is an orthobunyavirus endemic in the Brazilian Amazon that has caused numerous outbreaks of febrile disease since its discovery in 1955. During 2024, Oropouche fever spread from the endemic regions of Brazil into non-endemic areas and other Latin American and Caribbean countries, resulting in 13,014 confirmed infections. Similarly to other orthobunyaviruses, OROV can undergo genetic reassortment events with itself as well as other viruses.
View Article and Find Full Text PDFMycoses
January 2025
Departamento Micología-Instituto Nacional de Enfermedades Infecciosas "Dr. Carlos G. Malbrán", Buenos Aires, Ciudad Autónoma de Buenos Aires, Argentina.
Background: Epidemiological surveillance of Candidozyma sp. has become important because many species of this new genus have been reported to be responsible for nosocomial outbreaks and to exhibit elevated minimal inhibitory concentrations (MIC) to one or more classes of antifungal drugs.
Objectives: To describe the genetic relationships among Argentinian clinical isolates belonging to the Candidozyma genus and to study the molecular mechanisms associated with antifungal resistance.
Heliyon
January 2025
Bacterial Disease Laboratory, Postgraduate Program in Animal Science in Tropics - Federal University of Bahia, Salvador, Bahia, Brazil.
Leptospirosis is a zoonotic infectious disease that significantly impacts animal and public health. Comparative genomics can aid in understanding poorly understood aspects of leptospirosis pathogenesis, including infection mechanisms, antimicrobial resistance, and host interactions across different epidemiological scenarios. This study aimed to compare the genomes of serogroup Icterohaemorrhagiae strains isolated from three host species in a single epidemiological scenario.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
View Article and Find Full Text PDFLancet Diabetes Endocrinol
January 2025
Division of Diabetes & Nutritional Sciences, School of Cardiovascular and Metabolic Medicine & Sciences, King's College London, London, UK; Catholic University of the Sacred Heart, Rome, Italy; University Polyclinic Foundation Agostino Gemelli IRCCS, Rome, Italy.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!