Publications by authors named "M R Caro"

This article defends the centrality of practical wisdom in medical practice by building on a monistic view of moral virtue, termed the "Aretai model," according to which possession of practical wisdom is necessary and sufficient for virtuousness, grounding both moral growth and effective moral behavior. From this perspective, we argue that practical wisdom should be conceived as a cross-situational ethical expertise consisting of four skills:moral perception, moral deliberation, emotion regulation, and moral motivation. Conceiving of practical wisdom as both overall virtuousness and ethical expertise makes it possible to deal adequately with the uniqueness of concrete ethically relevant situations.

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Edentulous patients with history of cleft palate and severe maxillary atrophy are challenging patients to rehabilitate through an oral approach. The difficulty of rehabilitating these patients lies in the unusual anatomy they present and the alteration of the vascular supply of local tissues caused by the previous performed surgeries, along with other causes. This report describes the successful dental rehabilitation with zygomatic implants of a patient with complete bilateral cleft palate who was edentulous and had severe maxillary atrophy.

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Ischemic stroke is the result of a permanent or transient occlusion of a brain artery, leading to irreversible tissue injury and long-term sequelae. Despite ongoing advancements in revascularization techniques, stroke remains the second leading cause of death worldwide. A comprehensive understanding of the complex and interconnected mechanisms, along with the endogenous mediators that modulate stroke responses is essential for the development of effective interventions.

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Article Synopsis
  • Developing an automatic acne grading system using machine learning requires extensive data and labeling, but the authors created a model that performs well on low-resolution images from fewer patients with uneven acne severity distribution.
  • The study utilized 1,374 paired images from 391 patients, expertly labeled, to train a deep learning model which achieved 66.67% accuracy on the test set.
  • The results suggest that this model can be a viable tool for medical practitioners and provide standardized assessments for patients, highlighting its potential despite limited data.
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Tuberculosis (TB) remains one of the leading causes of death among infectious diseases, with 10.6 million new cases and 1.3 million deaths reported in 2022, according to the most recent WHO report.

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