[HTML][HTML] Unraveling the Gut Microbiota: Implications for Precision Nutrition and Personalized Medicine
Recent studies have shown a growing interest in the complex relationship between the
human gut microbiota, metabolism, and overall health. This review aims to explore the gut …
human gut microbiota, metabolism, and overall health. This review aims to explore the gut …
Unraveling the gut microbiome–diet connection: exploring the impact of digital precision and personalized nutrition on microbiota composition and host physiology
The human gut microbiome, an intricate ecosystem housing trillions of microorganisms
within the gastrointestinal tract, holds significant importance in human health and the …
within the gastrointestinal tract, holds significant importance in human health and the …
Putting the personalized metabolic avatar into production: A comparison between deep-learning and statistical models for weight prediction
Nutrition is a cross-cutting sector in medicine, with a huge impact on health, from
cardiovascular disease to cancer. Employment of digital medicine in nutrition relies on …
cardiovascular disease to cancer. Employment of digital medicine in nutrition relies on …
Digital applications for diet monitoring, planning, and precision nutrition for citizens and professionals: a state of the art
The objective of this review was to critically examine existing digital applications, tailored for
use by citizens and professionals, to provide diet monitoring, diet planning, and precision …
use by citizens and professionals, to provide diet monitoring, diet planning, and precision …
Medical image classifications for 6G IoT-enabled smart health systems
As day-to-day-generated data become massive in the 6G-enabled Internet of medical things
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …
(IoMT), the process of medical diagnosis becomes critical in the healthcare system. This …
Personalized metabolic avatar: a data driven model of metabolism for weight variation forecasting and diet plan evaluation
Development of predictive computational models of metabolism through mechanistic models
is complex and resource demanding, and their personalization remains challenging. Data …
is complex and resource demanding, and their personalization remains challenging. Data …
Digital Biohacking Approach to Dietary Interventions: A Comprehensive Strategy for Healthy and Sustainable Weight Loss
The rising obesity epidemic requires effective and sustainable weight loss intervention
strategies that take into account both of individual preferences and environmental impact …
strategies that take into account both of individual preferences and environmental impact …
[HTML][HTML] Integrating Dynamic Time Warping and K-means clustering for enhanced cardiovascular fitness assessment
The appropriate measurement of cardiovascular'Performance Enhancement'is critical for
improving physical fitness and overall health. Traditional methods, effective as they are …
improving physical fitness and overall health. Traditional methods, effective as they are …
[HTML][HTML] Machine Learning Classification of Pediatric Health Status Based on Cardiorespiratory Signals with Causal and Information Domain Features Applied—An …
Background/Objectives: This study aimed to evaluate the accuracy of machine learning (ML)
techniques in classifying pediatric individuals—cardiological patients, healthy participants …
techniques in classifying pediatric individuals—cardiological patients, healthy participants …
Automatic Detection of Aerobic Threshold through Recurrence Quantification Analysis of Heart Rate Time Series
During exercise with increasing intensity, the human body transforms energy with
mechanisms dependent upon actual requirements. Three phases of the body's energy …
mechanisms dependent upon actual requirements. Three phases of the body's energy …