A5025225666- Nutritional Studies and Diet
- Nutrition and Health in Aging
- Diet and metabolism studies
- Mobile Health and mHealth Applications
- Frailty in Older Adults
- Body Composition Measurement Techniques
- Clinical Nutrition and Gastroenterology
- Dementia and Cognitive Impairment Research
- Advanced Chemical Sensor Technologies
- Nutrition, Genetics, and Disease
- Eating Disorders and Behaviors
- Liver Disease Diagnosis and Treatment
- Technology Use by Older Adults
- Diabetes Management and Education
- Obesity, Physical Activity, Diet
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Research
- Blood Pressure and Hypertension Studies
- Obesity and Health Practices
- Adipose Tissue and Metabolism
- Dietetics, Nutrition, and Education
- Nutrition, Health and Food Behavior
- Liver Disease and Transplantation
- Mitochondrial Function and Pathology
- Dysphagia Assessment and Management
Nestlé (Switzerland)
2023-2025
University of Bern
2018-2023
Greek Association of Alzheimer's Disease and Related Disorders
2010-2022
Alexander Technological Educational Institute of Thessaloniki
2014-2016
Aristotle University of Thessaloniki
2015
Abstract Mitochondrial dysfunction and low nicotinamide adenine dinucleotide (NAD + ) levels are hallmarks of skeletal muscle ageing sarcopenia 1–3 , but it is unclear whether these defects result from local changes or can be mediated by systemic dietary cues. Here we report a functional link between circulating the natural alkaloid trigonelline, which structurally related to nicotinic acid 4 NAD health in multiple species. In humans, serum trigonelline reduced with correlate positively...
The aim of this meta-meta-analysis was to systematically review randomised controlled trial (RCT) evidence examining the effectiveness e- and m-Health interventions designed improve physical activity, sedentary behaviour, healthy eating sleep. Nine electronic databases were searched for eligible studies published from inception 1 June 2023. Systematic reviews with meta-analyses RCTs that evaluate sleep in any adult population included. Forty-seven included, comprising 507 206,873...
The myokine irisin may increase energy expenditure and affect metabolism.The objective of the study was to elucidate predictors whether circulating have day-night rhythm in humans.This an observational, cross-sectional with additional 24-hour prospective observational arm (day-night substudy) two interventional arms (mixed meal substudy exercise substudy).The conducted at Hellenic Military School Medicine (Thessaloniki, Greece).One hundred twenty-two healthy, young individuals were subjected...
<i>Background:</i> Mild cognitive impairment (MCI) patients are at increased risk of developing dementia. There is a conflict if interventions can improve and functional performances in order to delay the development <i>Objectives:</i> This study aimed examine effectiveness holistic rehabilitation program on with MCI. <i>Methods:</i> The participants, 176 MCI Mini-Mental State Examination = 27.89 (1.73), were classified into 2 groups matched for age,...
GoCARB is a computer vision-based smartphone system designed for individuals with Type 1 Diabetes to estimate plated meals’ carbohydrate (CHO) content. We aimed compare the accuracy of in estimating CHO estimations six experienced dietitians. was used content 54 Central European meals, each them containing three different weighed food items. Ground truth calculated using USDA composition database. Dietitians were asked visually based on meal photographs. and dietitians achieved comparable...
Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM. The can estimate the calorie macronutrient content meal, sole basis food images captured by smartphone. goFOODTM requires an input two meal or short video. For conventional single-camera smartphones, must be from different viewing angles; smartphones equipped with rear cameras require only single...
The aim of the study was to provide normative data for MoCA in a Greek cohort people older than 60 years who meet criteria subjective cognitive decline (SCD), mild impairment (MCI), or dementia order optimize cutoff scores each diagnostic group.Seven hundred forty-six community-dwelling adults, visitors Day Center Alzheimer Hellas were randomly chosen. Three seventy-nine them met dementia, 245 MCI and 122 SCD.Initial statistical analyses showed that total score is not affected by gender (P =...
Regular monitoring of nutrient intake in hospitalised patients plays a critical role reducing the risk disease-related malnutrition. Although several methods to estimate have been developed, there is still clear demand for more reliable and fully automated technique, as this could improve data accuracy reduce both burden on participants health costs. In paper, we propose novel system based artificial intelligence (AI) accurately intake, by simply processing RGB Depth (RGB-D) image pairs...
Accurate dietary assessment is crucial for both the prevention and treatment of nutrition-related diseases. Since mobile-based solutions are promising, we sought to examine acceptability “Nutrition Diet” (ND) apps by Healthcare Professionals (HCP), explore their preferences on apps’ features identify predictors acceptance. A 23 question survey was developed an interdisciplinary team pilot-tested. The completed 1001 HCP from 73 countries 6 continents. (dietitians: 833, doctors: 75, nurses:...
Background/Objectives: Complementary feeding (CF) influences future health outcomes. The aim of this study was to evaluate the impact fortified whole grain infant cereal (WGIC), a complementary food, among 6- 12-month-old infants on nutrient density diet in three diverse settings: Brazil, United Arab Emirates (UAE), and US. Methods: Data from Feeding Infants Toddler Study (FITS), collection dietary intake studies based 24-h-dietary recalls, said countries utilized. Nutrient intakes were...
Background Digital technologies have evolved dramatically in recent years, finding applications a variety of aspects everyday life. Smartphones and mobile apps are being used for steadily increasing number tasks, including health monitoring. A large nutrition diet available, some them very popular terms user downloads, highlighting trend toward monitoring assessment. Objective We sought to explore the perspectives end users on features, current use, acceptance mHealth with survey. expect...
A healthy diet can help to prevent or manage many important conditions and diseases, particularly obesity, malnutrition, diabetes. Recent advancements in artificial intelligence smartphone technologies have enabled applications conduct automatic nutritional assessment from meal images, providing a convenient, efficient, accurate method for continuous evaluation. We now extend the goFOOD
Malnutrition is common, especially among older, hospitalised patients, and associated with higher mortality, longer hospitalisation stays, infections, loss of muscle mass. It therefore utmost importance to employ a proper method for dietary assessment that can be used the identification management malnourished patients. In this study, we propose an automated Artificial Intelligence (AI)-based system receives input images meals before after their consumption able estimate patient’s energy,...
Regular nutrient intake monitoring in hospitalised patients plays a critical role reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate have been developed, there is still clear demand for more reliable and fully automated technique, as this could improve data accuracy reduce both participant burden health costs. In paper, we propose novel system based on artificial intelligence accurately intake, by simply processing RGB depth image pairs captured...
Background Technological advancements have enabled nutrient estimation by smartphone apps such as goFOOD. This is an artificial intelligence–based system, which uses food images or video captured the user input and then translates these into estimates of content. The quality data highly dependent on records. can lead to a major loss impaired quality. Instead removing from study, in-depth analysis needed explore common mistakes use them for further improvement automated nutrition assessment....
Abstract Mediterranean diet (MD) can play a major role in decreasing the risks of non-communicable diseases and preventing overweight obesity. In order for person to follow MD assess their adherence it, proper dietary assessment methods are required. We have developed an Artificial Intelligence-powered system that recognizes food drink items from single meal photo estimates respective serving size, integrated it into smartphone application automatically calculates score outputs weekly...