A5049334409- Diet and metabolism studies
- Nutrition, Genetics, and Disease
- Mobile Health and mHealth Applications
- Nutritional Studies and Diet
- Cardiovascular and exercise physiology
- Heart Rate Variability and Autonomic Control
- Salivary Gland Disorders and Functions
- Gut microbiota and health
- Erythrocyte Function and Pathophysiology
- Blood properties and coagulation
- Metabolomics and Mass Spectrometry Studies
- Nutrition and Health in Aging
- Adipokines, Inflammation, and Metabolic Diseases
- Physical Activity and Health
- Temporomandibular Joint Disorders
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Innovative Human-Technology Interaction
- Consumer Attitudes and Food Labeling
- Eicosanoids and Hypertension Pharmacology
- Neurological Disorders and Treatments
- Diabetes and associated disorders
- Cancer, Hypoxia, and Metabolism
- Stuttering Research and Treatment
- Scientific Research and Technology
- Time Series Analysis and Forecasting
Agostino Gemelli University Polyclinic
2022-2025
Università Cattolica del Sacro Cuore
2022-2025
Istituti di Ricovero e Cura a Carattere Scientifico
2022-2024
Nature Inspires Creativity Engineers Lab
2023
The human gut microbiome, an intricate ecosystem housing trillions of microorganisms within the gastrointestinal tract, holds significant importance in health and development diseases. Recent advances technology have allowed for in-depth exploration shedding light on its composition functions. Of particular interest is role diet shaping influencing diversity, population size, metabolic Precision nutrition, a personalized approach based individual characteristics, has shown promise directly...
Nutrition is a cross-cutting sector in medicine, with huge impact on health, from cardiovascular disease to cancer. Employment of digital medicine nutrition relies twins: replicas human physiology representing an emergent solution for prevention and treatment many diseases. In this context, we have already developed data-driven model metabolism, called "Personalized Metabolic Avatar" (PMA), using gated recurrent unit (GRU) neural networks weight forecasting. However, putting twin into...
VO2max index has a significant impact on overall health. Its estimation through wearables notifies the user of his level fitness but cannot provide detailed analysis time intervals in which heartbeat dynamics are changed and/or fatigue is emerging. Here, we developed multiple modality biosignal processing method to investigate running sessions characterize real response external energy demand. We isolated dynamic regimes whose fraction increases with and emergence neuromuscular fatigue. This...
Developing predictive computational models of metabolism using mechanistic approaches is complex and resource intensive. Data-driven offer a reliable, fast, continuously updating solution for analytics. Previously, we developed the Personalized Metabolic Avatar (PMA), gated recurrent unit deep learning model, to forecast personalized weight variations based on macronutrient composition daily energy balance. This model allows diet plan simulations tailored goal setting, empowering individuals...
Self-monitoring of weight, diet and physical activity is a valuable component behavioral weight loss treatment. The validation user-friendliness this approach not optimal since users are selected from homogeneous pools rely on different applications, increasing the burden achieving partial, generic and/or unrelated information about their metabolic state. Moreover, studies establishing type, time, duration, adherence criteria for self-monitoring lacking. In study, we developed digital...
Abstract Aims Improving the composition of circulating fatty acids (FA) leads to a reduction in cardiovascular diseases (CVD) high‐risk individuals. The membrane fluidity red blood cells (RBC), which reflects FA status, may be valid biomarker (CV) risk type 2 diabetes (T2D). Methods Red cell fluidity, quantified as general polarization (GP), was assessed 234 subjects with T2D, 86 prior major CVD. Based on GP distribution, cut‐off .445 used divide study cohort into two groups: first higher...
Development of predictive computational models metabolism through mechanistic is complex and resource demanding, their personalization remains challenging. Data-driven human would constitute a reliable, fast, continuously updating model for analytics. Wearable devices, such as smart bands impedance balances, allow the real time remote monitoring physiological parameters, providing flux data carrying information on user metabolism. Here, we developed data-driven end-user metabolism,...
Chewing is essential in regulating metabolism and initiating digestion. Various methods have been used to examine chewing, including analyzing chewing sounds using piezoelectric sensors detect muscle contractions. However, these struggle distinguish from other movements. Electromyography (EMG) has proven be an accurate solution, although it requires attached the skin. Existing EMG devices focus on detecting act of or classifying foods do not provide self-awareness habits. We developed a...
Diabetes-induced oxidative stress leads to the onset of vascular complications, which are major causes disability and death in diabetic patients. Among these, retinopathy (DR) often arises from functional alterations blood-retinal barrier (BRB) due damaging reactions lipids, proteins, DNA. This study aimed investigate impact ω3-polyunsaturated docosahexaenoic acid (DHA) on regulation redox homeostasis human retinal pigment epithelial (RPE) cell line (ARPE-19) under hyperglycemic-like...
Maintaining plasma glucose homeostasis is vital for mammalian survival, but the masticatory function, which influences regulation, has been overlooked. In this study, we investigated relationship between glycaemic response curve and chewing performance in a group of 8 individuals who consumed 80 grams apple. A device called "Chewing" utilizing electromyographic (EMG) technology quantitatively assesses pattern, while glycemic analysed using continuous monitoring. We assessed pattern...
The rising obesity epidemic requires effective and sustainable weight loss intervention strategies that take into account both of individual preferences environmental impact. This study aims to develop evaluate the effectiveness an innovative digital biohacking approach for dietary modifications in promoting reducing carbon footprint A pilot was conducted involving four participants who monitored their weight, diet, activities over course a year. Data on food consumption, impact, calorie...
Diabetes-induced oxidative stress induces the development of vascular complications, which are significant causes morbidity and mortality in diabetic patients. Among these, retinopathy (DR) is often caused by functional changes blood–retinal barrier (BRB) due to harmful events lipids, proteins, DNA. Docosahexaenoic acid (DHA) has a potential therapeutic effect against hyperglycemia-induced damage apoptotic pathways main constituents BRB, retinal pigment epithelium cells (ARPE-19). Effective...
In this work, we will investigate if red blood cell (RBC) membrane fluidity, influenced by several hyperglycemia-induced pathways, could provide a complementary index of HbA1c to monitor the development type 2 diabetes mellitus (T2DM)-related macroangiopathic complications such as Peripheral Artery Disease (PAD). The contextual liquid crystalline (LC) domain spatial organization in was analysed phase dynamics transition. Twenty-seven patients with long-duration T2DM were recruited and...
The appropriate measurement of cardiovascular 'Performance Enhancement' is critical for improving physical fitness and overall health. Traditional methods, effective as they are, often rely on complex, cumbersome equipment, limiting their practical use real-time, dynamic exercise evaluation. Thus, understanding the intricate relationship between physiological responses using wearable technology essential tailoring regimes. This study involved 52 participants, utilizing Garmin Vivosmart 5...