Guadalupe X. Bazán

Network topology of the gut microbiome associates with metabolic health in obesity

Blanca Lacruz-Pleguezuelos, Alba Perez-Cuervo, Diego Coleto-Checa, Guadalupe X. Bazán et autres

Obesity is a heterogeneous condition comprising a continuum of phenotypes with various metabolic and inflammatory profiles. Metabolically healthy obesity (MHO) identifies individuals with obesity but a relatively preserved metabolic state, although little is known about the gut microbiome features underlying this phenotype. …

es, fr (code pays fourni par la source)

Personalized weight loss management through wearable devices and artificial intelligence

Sergio Romero-Tapiador, Rubén Tolosana, Aythami Morales, Blanca Lacruz-Pleguezuelos et autres

Early detection of chronic and non-communicable diseases (NCDs) is crucial for effective treatment during the initial stages. This study explores the application of wearable devices and artificial intelligence (AI) to predict weight loss changes in overweight and obese individuals. To the best …

es (code pays fourni par la source)

Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition

Sergio Romero-Tapiador, Rubén Tolosana, Blanca Lacruz-Pleguezuelos, Laura Judith Marcos-Zambrano et autres

Automatic dietary assessment based on food images remains a challenge, requiring precise food detection, segmentation, and classification. Vision-Language Models (VLMs) offer new possibilities by integrating visual and textual reasoning. In this study, we evaluate six state-of-the-art VLMs (ChatGPT, Gemini, Claude, Moondream, DeepSeek, …

es (code pays fourni par la source)

Gut microbial ecosystems differ across metabolic and obesity phenotypes

Blanca Lacruz-Pleguezuelos, Guadalupe X. Bazán, Sergio Romero-Tapiador, Gala Freixer et autres

Abstract Obesity is a heterogeneous condition comprising a continuum of phenotypes with various metabolic and inflammatory profiles. Metabolically healthy obesity (MHO) identifies individuals with obesity but a relatively preserved metabolic state. However, the criteria defining MHO remain inconsistent, and little is known …

es, fr (code pays fourni par la source)

Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image Recognition

Sergio Romero-Tapiador, Rubén Tolosana, Blanca Lacruz-Pleguezuelos, Laura Judith Marcos-Zambrano et autres

Automatic dietary assessment based on food images remains a challenge, requiring precise food detection, segmentation, and classification. Vision-Language Models (VLMs) offer new possibilities by integrating visual and textual reasoning. In this study, we evaluate six state-of-the-art VLMs (ChatGPT, Gemini, Claude, Moondream, DeepSeek, …

AI4Food, a feasibility study for the implementation of automated devices in the nutritional advice and follow up within a weight loss intervention

Blanca Lacruz-Pleguezuelos, Guadalupe X. Bazán, Sergio Romero-Tapiador, Gala Freixer et autres

BACKGROUND & AIMS: The widespread prevalence of NCDs calls for an improvement in their prevention and treatment. Wearable technologies can be an important asset in the development of precision nutrition strategies, for both health professionals and patients. However, their clinical use is …

es (code pays fourni par la source)

Effect of fiber-modified kombucha tea on gut microbiota in healthy population: A randomized controlled trial (RCT)

Beatriz Arce-López, Guadalupe X. Bazán, Susana Molina, María Carmen Crespo et autres

Background The development of functional foods with health-promoting properties is a priority in addressing chronic diseases. Studying the effect of these foods on gut microbiota provides critical insights into the interplay between microorganisms, health, and disease. Objective This study aimed to evaluate …

es (code pays fourni par la source)

Circuit-dependent FMAX, Power and Process optimization to improve product Reliability, Availability and Serviceability

Pascal Nsame, Rahul Nadkarni, J. N. Klazynski, Jeanne Paulette Bickford et autres

A fully functional PowerPC476FP SoC communication processor with 4MB eDRAM System Cache achieving 2GHz/Core, in a 4 × 2.5DMIPS/Core/MHz configuration is qualified using physics-of-aging models in a 45nm SOI CMOS technology node including a logic and deep-trench (DT) eDRAM optimized semiconductor process. …

us (code pays fourni par la source)

Using embedded objects for yield monitoring

Guadalupe X. Bazán, F. Gravel, Leendert M. Huisman, A. Pardee et autres

In this article, we describe the use of embedded objects, such as scan chains and RAMs, for yield learning and as defect monitors. We discuss why these objects are suitable for yield learning, and what needs to be done to use them …

us (code pays fourni par la source)