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Integrating Nutritional Status and Hematological Biomarkers for Enhanced Prognosis Prediction in Glioma Patients: A Systematic Review.
Clin Nutr ESPEN
January 2025
Department of Experimental and Clinical Biomedical sciences "Mario Serio", University of Florence, Florence, Italy; Azienda Ospedaliero-Universitaria Careggi, Radiation Oncology Unit, Florence, Italy.
Purpose: Multiple inflammatory and nutritional biomarkers have been established as independent prognostic factors across various solid tumors, but their role in outcomes prediction for glioma is still under investigation. Aim of the present systematic review is to report the available evidence regarding the impact of nutritional assessment and intervention for glioma prognosis and patients' quality of life (QoL).
Materials And Methods: Our systematic review conformed to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines.
Accuracy of Current Large Language Models and The Retrieval Augmented Generation Model in Determining Dietary Principles in Chronic Kidney Disease.
J Ren Nutr
January 2025
Assistant professor, Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Burdur Mehmet Akif Ersoy University, Burdur, Türkiye.
Objective: Large Language Models (LLMs) have emerged as powerful tools with significant potential for quickly accessing information in the nutrition and health, as in many fields. Retrieval augmented generation (RAG) has been included among artificial intelligence (AI) powered chatbot structures as a framework developed to increase the accuracy and ability of LLMs. This study aimed to evaluate the accuracy of LLMs (GPT4, Gemini, and Llama) and RAG in determining dietary principles in chronic kidney disease.
View Article and Find Full Text PDFCognitive behavioral therapy for insomnia across the spectrum of alcohol use disorder: A systematic review and meta-analysis.
Sleep Med Rev
January 2025
Faculty of Medicine, Department of Psychiatry, University of Geneva, Geneva, Switzerland.
Insomnia is prevalent among patients with alcohol use disorder (AUD), potentially undermining treatment and increasing the risk of relapse. Cognitive behavioral therapy for insomnia (CBT-I) is the recommended first-line treatment for insomnia, but its efficacy is not well-characterized in patients across the spectrum of AUD. The aim of this meta-analysis was to quantify the effectiveness of CBT-I in improving insomnia severity and alcohol-related outcomes in adults with heavy alcohol use and/or varying levels of AUD severity and comorbid insomnia.
View Article and Find Full Text PDFPeople with aphasia show stable Cumulative Semantic Interference (CSI) when tested repeatedly in a web-based paradigm: A perspective for longitudinal assessment.
Cortex
December 2024
Humboldt-Universität zu Berlin, Berlin School of Mind and Brain, Berlin, Germany; Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Leipzig, Germany; University Hospital and Faculty of Medicine Leipzig, Clinic for Cognitive Neurology, Leipzig, Germany.
Retrieving words quickly and correctly is an important language competence. Semantic contexts, such as prior naming of categorically related objects, can induce conceptual priming but also lexical-semantic interference, the latter likely due to enhanced competition during lexical selection. In the continuous naming (CN) paradigm, such semantic interference is evident in a linear increase in naming latency with each additional member of a category out of a seemingly random sequence of pictures being named (cumulative semantic interference/CSI effect).
View Article and Find Full Text PDFPic2Plate: A Vision-Language and Retrieval-Augmented Framework for Personalized Recipe Recommendations.
Sensors (Basel)
January 2025
Department of Computer Engineering, Dongseo University, Busan 47011, Republic of Korea.
Choosing nutritious foods is essential for daily health, but finding recipes that match available ingredients and dietary preferences can be challenging. Traditional recommendation methods often lack personalization and accurate ingredient recognition. Personalized systems address this by integrating user preferences, dietary needs, and ingredient availability.
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