The emergence of antimicrobial resistance (AMR) is a significant threat to global food security, human health, and the future of livestock production. Higher rates of antimicrobial use in dairy farming and the sheer lack of new antimicrobials available for use focused attention on the question of how the dairy production sector contributed to the development of AMR and paved the path toward taking action to curtail it on the targeted type of farms. This paper aims to provide an introduction to a phenomenon that has gained considerable attention in the recent past due to its ever-increasing impact, the use of antimicrobial drugs, the emergence of antimicrobial resistance (AMR) on dairy farms, and seeks to discuss the possibilities of approaches such as digital health monitoring and precision livestock farming. Using sensors, data, knowledge, automation, etc., digital health monitoring, as well as Precision Livestock Farming (PLF), is expected to enhance health control and minimize disease and antimicrobial usage. The work presents a literature review on the current status and trends of AMR in dairy farms, an understanding of the concept of digital health monitoring and PLF, and the presentation and usefulness of digital health monitoring and PLF in preventing AMR. The study also analyses the strengths and weaknesses of adopting and incorporating digital technologies and artificial intelligence for dairy farming and presents areas for further study and level of use.
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http://dx.doi.org/10.3390/antibiotics13070634 | DOI Listing |
BMC Oral Health
January 2025
Oral Medicine, Periodontology and Oral Diagnosis, Faculty of Dentistry, Assiut University, Assiut, Egypt.
Objective: This study aimed to evaluate the clinical performance (degree of trueness) of a novel scan body "tooth-modified Scan body" (TMSB)& conventional scan body (CSB) in implant-supported full arch screw retained cases.
Methods: Seven edentulous arches (two maxillae, five mandibles) in 6 patients were rehabilitated with monolithic zirconia screw-retained implant prostheses supported by 4 (n = 1) and 5 implants (n = 6) for a total amount of 34 implants. Implant locations were scanned by intra-oral scanner (IOS) using two types of scan bodies, conventional scan bodies (CSB) in group (1) and tooth-modified scan bodies (TMSB) in group (2).
BMC Med Inform Decis Mak
January 2025
QUEST Center for Responsible Research, Berlin Institute of Health at Charité Universitätsmedizin Berlin, Berlin, Germany.
Background: Machine learning (ML) is increasingly used to predict clinical deterioration in intensive care unit (ICU) patients through scoring systems. Although promising, such algorithms often overfit their training cohort and perform worse at new hospitals. Thus, external validation is a critical - but frequently overlooked - step to establish the reliability of predicted risk scores to translate them into clinical practice.
View Article and Find Full Text PDFBMC Psychiatry
January 2025
Brain and Mind Institute, Aga Khan University, Stadium Road, Karachi, 74800, Pakistan.
Background: With a shortage of mental health specialists and a significant rural population in Pakistan, leveraging community-based healthcare workers becomes crucial to address mental health needs. Equipping the healthcare workers with digital tools such as mobile applications have the potential to increase access to mental health support in low-resource areas. This study examines the acceptability, appropriateness, barriers, and facilitators to implementing a technology-assisted mental health intervention (mPareshan) delivered by Lady Health Workers (LHWs) in rural Pakistan.
View Article and Find Full Text PDFArch Gynecol Obstet
January 2025
Department of Obstetrics and Prenatal Medicine, University Hospital Bonn, Venusberg Campus 1, 53127, Bonn, Germany.
Introduction: Choosing a medical specialty is a pivotal moment in a physician's career, shaped by personal interests, clinical experiences, and professional interactions. Obstetrics and gynecology (OB-GYN) offers a unique blend of surgical and medical care focused on women's health. Given the growing demand for OB-GYN specialists, understanding the factors that influence students' decisions is essential for workforce planning.
View Article and Find Full Text PDFVirchows Arch
January 2025
Belgian Society of Pathology, Brussels, Belgium.
The adoption of Standardized Structured Reporting (SSR) in pathology offers significant potential to improve data consistency, completeness, and interoperability. This study combines quantitative data from an online survey of Belgian pathologists with qualitative insights from focus group interviews to identify key factors influencing SSR implementation. Survey results demonstrate strong support for SSR, particularly in enhancing report uniformity, completeness, and efficiency, especially in multidisciplinary teams and for secondary data use.
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