Publications by authors named "A L Duran"

Assessing parental aesthetic acceptability of Silver Diamine Fluoride (SDF) staining is crucial for its potential implementation in paediatric dentistry in different regions. This study aimed to compare aesthetic perceptions and acceptance of SDF staining between Spanish and Italian parents, and assess weather acceptability is influenced by location, child's cooperation, or demographic background. A cross-sectional comparative study was conducted among Spanish and Italian parents at three university dental clinics, using a validated Italian version of the questionnaire "Parental perceptions of Silver Diamine Fluoride Dental Color Changes".

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Background: Artificial intelligence (AI)-driven technologies offer transformative potential in plastic surgery, spanning pre-operative planning, surgical procedures, and post-operative care, with the promise of improved patient outcomes.

Objectives: To compare the web-based ChatGPT-4o (omni; OpenAI, San Francisco, CA) and Gemini Advanced (Alphabet Inc., Mountain View, CA), focusing on their data upload feature and examining outcomes before and after exposure to CME articles, particularly regarding their efficacy relative to human participants.

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Human-driven habitat loss is recognized as the greatest cause of the biodiversity crisis, yet to date we lack robust, spatially explicit metrics quantifying the impacts of anthropogenic changes in habitat extent on species' extinctions. Existing metrics either fail to consider species identity or focus solely on recent habitat losses. The persistence score approach developed by Durán .

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Background: In triple-negative breast cancer (TNBC) patients receiving adjuvant capecitabine, the impact of HER2 expression on survival outcomes is unclear.

Methods:  Between June 2017 and December 2023, 112 patients with TNBC who received adjuvant capecitabine due to residual masses after neoadjuvant chemotherapy (NACT) in three hospitals were identified. HER2 is analyzed through immunohistochemistry (IHC) and/or in situ hybridization in the core biopsy and/or post-surgical histopathologies.

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Artificial Intelligence (AI) is an emerging tool that could be leveraged to identify the effective conservation solutions demanded by the urgent biodiversity crisis. We present the results of our horizon scan of AI applications likely to significantly benefit biological conservation. An international panel of conservation scientists and AI experts identified 21 key ideas.

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