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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward.
Animals (Basel)
January 2025
Zinpro Corporation, Eden-Prairie, MN 55344, USA.
Standards for data generation and collection are important for integration and for achieving data-driven actionable insights in dairy farming. Data integration and analysis are critical for advancing the dairy industry, enabling better decision-making, and improving operational efficiencies. This commentary paper discusses the challenges of and proposes pathways for standardizing data generation and collection based on insights from a multidisciplinary group of stakeholders.
View Article and Find Full Text PDFInvisible Monitoring for Athlete Health and Performance: A Call for a Better Conceptualization and Practical Recommendations.
Int J Sports Physiol Perform
January 2025
Department of Sport and Physical Activity, Faculty of Arts and Sciences, Edge Hill University, Ormskirk, United Kingdom.
Background: Practices to routinely monitor athletes are rapidly changing. With the concurrent exponential rise in wearable technologies and advanced data analysis, tracking training exposures and responses is widespread and more frequent in the athlete-coach decision-making process. Within this scenario, the concept of invisible monitoring emerged, which was initially vaguely defined as testing athletes without testing them.
View Article and Find Full Text PDFDirected Acyclic Graphs in Decision-Analytic Modeling: Bridging Causal Inference and Effective Model Design in Medical Decision Making.
Med Decis Making
January 2025
Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands.
Our commentary proposes the application of directed acyclic graphs (DAGs) in the design of decision-analytic models, offering researchers a valuable and structured tool to enhance transparency and accuracy by bridging the gap between causal inference and model design in medical decision making.The practical examples in this article showcase the transformative effect DAGs can have on model structure, parameter selection, and the resulting conclusions on effectiveness and cost-effectiveness.This methodological article invites a broader conversation on decision-modeling choices grounded in causal assumptions.
View Article and Find Full Text PDFCross-cutting effect of type 2 diabetes on the sensorimotor control of balance.
Front Clin Diabetes Healthc
January 2025
Department of Human Movement Science, Oakland University, Rochester, MI, United States.
Type 2 Diabetes is a highly prevalent chronic disorder that affects multiple systems through microvascular complications. Complications such as diabetic peripheral neuropathy, diabetic retinopathy, and diabetic vestibular dysfunction (vestibulopathy) all directly interfere with the sensory components of balance and postural stability. The resulting impairments cause increased falls risk and instability, making it difficult to perform daily task or exercise.
View Article and Find Full Text PDFSemaglutide, type 2 diabetes, and the risk of nonarteritic anterior ischemic optic neuropathy.
Int J Retina Vitreous
January 2025
Brazilian Diabetes Society, São Paulo, Brazil.
In the last months, conflicting evidence on a possible association between the use of semaglutide and incident nonarteritic anterior ischemic optic neuropathy (NAION) has emerged. A recently published study, which evaluated all patients with type 2 diabetes in Denmark, has shown with robustness that once-weekly semaglutide doubles the five-year risk of NAION. In this comment, the new evidence is discussed, along with practical implications for type 2 diabetes patients.
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