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http://dx.doi.org/10.1007/s10072-018-3452-9 | DOI Listing |
Alzheimers Res Ther
January 2025
Fraunhofer Institute for Algorithms and Scientific Computing SCAI, Sankt Augustin, Germany.
Background: Alzheimer's disease (AD) is a progressive neurodegenerative disorder affecting millions worldwide, leading to cognitive and functional decline. Early detection and intervention are crucial for enhancing the quality of life of patients and their families. Remote Monitoring Technologies (RMTs) offer a promising solution for early detection by tracking changes in behavioral and cognitive functions, such as memory, language, and problem-solving skills.
View Article and Find Full Text PDFGenes (Basel)
December 2024
Genomic Medicine Laboratory UILDM, IRCCS Santa Lucia Foundation, 00179 Rome, Italy.
Background/objectives: Artificial intelligence and large language models like ChatGPT and Google's Gemini are promising tools with remarkable potential to assist healthcare professionals. This study explores ChatGPT and Gemini's potential utility in assisting clinicians during the first evaluation of patients with suspected neurogenetic disorders.
Methods: By analyzing the model's performance in identifying relevant clinical features, suggesting differential diagnoses, and providing insights into possible genetic testing, this research seeks to determine whether these AI tools could serve as a valuable adjunct in neurogenetic assessments.
Children (Basel)
January 2025
IRCCS Fondazione Stella Maris, Scientific Institute of Child Neurology and Psychiatry, 56018 Pisa, Italy.
Background: Although self-compassion has been consistently linked to positive outcomes in adults and adolescents, only a few studies have explored self-compassion in children and early adolescents due to a lack of measures specifically designed for younger populations.
Methods: The current study explored the psychometric properties of the Italian translation of the Self-Compassion Scale for Children (SCS-C) in a sample of 230 children (mean age = 10.52, SD = 1.
Nurs Rep
January 2025
Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 287 Giuseppe Campi Street, 41125 Modena, Italy.
: Team-based learning is an educational strategy that promotes active learning and student engagement through structured team activities. It contrasts with traditional teaching models by emphasizing student preparation and collaboration. The TBL-SAI is a reliable and valid instrument designed to evaluate students' attitudes towards TBL, assessing dimensions such as accountability, preference for lecture or team-based learning, and satisfaction with TBL.
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