Foodborne pathogens are one of the main concerns in public health, which can have a serious impact on community health and health care systems. Contamination of foods by bacterial pathogens (such as , , , results in human infection. A typical example is the current issue with Coronavirus, which has the potential for foodborne transmission and ruling out such concerns is often difficult. Although, the possible dissemination of such viruses via the food chain has been raised. Standard bacterial detection methods require several hours or even days to obtain the results, and the delay may result in food poisoning to eventuate. Conventional biochemical and microbiological tests are expensive, complex, time-consuming and not always reliable. Therefore, there are urgent demands to develop simple, cheap, quick, sensitive, specific and reliable tests for the detection of these pathogens in foods. Recent advances in smart materials, nanomaterials and biomolecular modeling have been a quantum leap in the development of biosensors in overcoming the limitations of a conventional standard laboratory assay. This research aimed to critically review bacteriophage-based biosensors, used for the detection of foodborne pathogens, as well as their trends, outcomes and challenges are discussed. The future perspective in the use of simple and cheap biosensors is in the development of lab-on-chips, and its availability in every household to test the quality of their food.
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http://dx.doi.org/10.3390/nano10030501 | DOI Listing |
Addict Sci Clin Pract
January 2025
Health Services Research & Development (HSR&D) Center of Innovation for Veteran-Centered and Value-Driven Care, Veterans Affairs (VA) Puget Sound Health Care System, 1660 S. Columbian Way, Mail Stop S-152, Seattle, WA, 98108, USA.
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January 2025
Leeds Institute of Clinical Trials Research, University of Leeds, Clarendon Way, Leeds, LS2 9NL, UK.
Background: Early detection and diagnosis of cancer are vital to improving outcomes for patients. Artificial intelligence (AI) models have shown promise in the early detection and diagnosis of cancer, but there is limited evidence on methods that fully exploit the longitudinal data stored within electronic health records (EHRs). This review aims to summarise methods currently utilised for prediction of cancer from longitudinal data and provides recommendations on how such models should be developed.
View Article and Find Full Text PDFEur J Pediatr
January 2025
Institute of Clinical Medicine and Department of Pediatrics, University of Eastern Finland, Kuopio, Finland.
Unlabelled: Twin pregnancies are associated with higher risks of adverse maternal and neonatal outcomes compared to singleton pregnancies. This retrospective nationwide cohort study analyzed trends in twin pregnancy outcomes in Finland from 2008 to 2023 using data from the Finnish Medical Birth Register. Outcomes assessed included perinatal mortality, stillbirths, neonatal mortality, neonatal intensive care unit (NICU) admissions, and hospitalization rates at one week of age.
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January 2025
Women's Hospital of Nanjing Medical University, Nanjing Women and Children's Healthcare Hospital, Nanjing Women and Children's Healthcare Institute, Nanjing, Jiangsu, China.
To assess whether infertile women's psychological conditions, such as depression, anxiety, and stress, are associated with in vitro fertilization (IVF) and intracytoplasmic sperm injection (ICSI) outcomes, we systematically searched for relevant articles from January 1, 2004, to March 29, 2024, in five databases, including PubMed, Web of Science, EMBASE, Cochrane Library, and PsycINFO. A random-effects model was used to examine pooled standardized mean differences (SMD) and 95% confidence interval (CI). A total of 29 articles fulfilled the inclusion criteria and were included in this meta-analysis.
View Article and Find Full Text PDFInt J Obes (Lond)
January 2025
Health and Social Care Unit, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Background: Weight bias is a global health challenge and community members are endorsed as the most common source of weight bias. The nature of weight biases specifically against preconception, pregnant, and postpartum (PPP) women from the perspective of community members is not known, especially in terms of cross-cultural trends. We investigated the magnitude of explicit and implicit weight bias and profiles of characteristics associated with harbouring weight bias.
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