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Background: In recent years, dental clusters and networks have been established in primary care in many countries to improve access to services for the population and develop cooperation between providers. In Hungary, the first dental clusters were established in 2021, and currently, one-third of dental practices have already joined a cluster. The study aimed to gather and analyze early experiences regarding the motivation of participation in primary care dental clusters and experiences of implementation.

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Background: Despite the use of Next-Generation Sequencing (NGS) as the gold standard for the diagnosis of rare diseases, its clinical implementation has been challenging, limiting the cost-effectiveness of NGS and the understanding, control and safety essential for decision-making in clinical applications. Here, we describe a personalized NGS-based strategy integrating precision medicine into a public healthcare system and its implementation in the routine diagnosis process during a five-year pilot program.

Methods: Our approach involved customized probe designs, the generation of virtual panels and the development of a personalized medicine module (PMM) for variant prioritization.

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Artificial intelligence (AI) and machine learning (ML) are driving innovation in biosciences and are already affecting key elements of medical scholarship and clinical care. Many schools of medicine are capitalizing on the promise of these new technologies by establishing academic units to catalyze and grow research and innovation in AI/ML. At Stanford University, we have developed a successful model for an AI/ML research center with support from academic leaders, clinical departments, extramural grants, and industry partners.

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Within the context of competency-based medical education, portfolios and mentorship emerge as complementary interventions, each offering distinct perspectives and benefits. Together, these elements synergistically contribute to a holistic and effective approach to medical education, encompassing both the academic and personal development imperatives of students. However, this integration comes with several implementation challenges that must be anticipated and promptly addressed.

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Objectives: The main objective of this study was to evaluate whether the implementation of CoBaTrICE (Competency-Based Training in Intensive Care Medicine in Europe) provides higher levels of competency in comparison with the current official time-based program in Intensive Care Medicine in Spain. Secondary objectives were: 1) To determine the percentage of critical essential performance elements (CEPE) accomplished, 2) To determine compliance with workplace-based assessments (wba).

Design: Multicenter cluster randomized trial.

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