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Background: Artificial intelligence (AI) models are emerging as promising tools to identify predictive features among data coming from health records. Their application in clinical routine is still challenging, due to technical limits and to explainability issues in this specific setting. Response to standard first-line immunotherapy (ICI) in metastatic Non-Small-Cell Lung Cancer (NSCLC) is an interesting population for machine learning (ML), since up to 30% of patients do not benefit.

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Autistic adults experience greater rates of anxiety and depression compared to the general population. Compassion-focused therapy interventions, aimed at promoting self-compassion capabilities, have shown efficacy in improving mental health outcomes in autistic and non-autistic samples suffering from self-criticism that contribute to difficulties in emotion regulation. We explored the experiences of autistic adults during a brief one-week online self-compassion exercise to evaluate it's feasibility and acceptability through self-report, experience sampling, and parasympathetic activity measured via HRV.

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Olfactory Dysfunction in Allergic Rhinitis.

Clin Rev Allergy Immunol

December 2024

Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Olfactory dysfunction (OD) can have serious consequences as it hinders individuals from detecting important warning signals like smoke, spoiled food, and gas leaks. This can significantly impact their nutritional status, eating satisfaction, and overall quality of life. Allergic rhinitis (AR) is a common disease that greatly affects the quality of life and can lead to a decrease, distortion, or complete loss of olfactory ability.

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Background: The Everyday Cognition questionnaire is a sensitive tool for measuring decline in activities of daily living and can differentiate dementia from normal cognition. There is limited data on comparing the ECog-12 performance by raters (self vs. informant/study-partner) and scoring systems (continuous average score vs.

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Background: Few studies have investigated the relationship between subjective cognitive concerns and objective cognitive decline in the oldest-old or examined gender differences. We evaluated this association and stratification by gender in a diverse cohort of adults ages 90+.

Methods: LifeAfter90 is an ongoing cohort of adults ages 90+.

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