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  1. Article: Beauty and health: an intriguing liaison?

    Grossi, Enzo

    Clinical and experimental rheumatology

    2024  

    Abstract: The exposure to different form of beauty coming from visual art, music, nature, architecture, improves mental health and exerts neurotrophic effects on different parts of the brain. This in turn improves physical health, prolongs life expectancy, and ... ...

    Abstract The exposure to different form of beauty coming from visual art, music, nature, architecture, improves mental health and exerts neurotrophic effects on different parts of the brain. This in turn improves physical health, prolongs life expectancy, and reduces the risk of serious degenerative diseases such as Alzheimer's and cancer. These beneficial actions would not be understandable and plausible if one did not accept the mind-body unity. The 'hegemonic' role of the brain in health and illness can be discerned, for example, in the effect of emotions on vital physiological parameters, in the relationships between stress and many medical-clinical pathologies, in the control exercised by the brain over the immune system reflecting also in the inhibition of tumour progression.
    Language English
    Publishing date 2024-03-06
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 605886-3
    ISSN 1593-098X ; 0392-856X
    ISSN (online) 1593-098X
    ISSN 0392-856X
    DOI 10.55563/clinexprheumatol/65340f
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  2. Book ; Online ; E-Book: Human nutrition from the gastroenterologist’s perspective

    Grossi, Enzo / Pace, Fabio

    lessons from Expo Milano 2015

    2016  

    Author's details Enzo Grossi, Fabio Pace, editors
    Language English
    Size 1 Online-Ressource (xii, 213 Seiten)
    Publisher Springer
    Publishing place Cham
    Publishing country Switzerland
    Document type Book ; Online ; E-Book
    Note Lizenzpflichtig
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT019052765
    ISBN 978-3-319-30361-1 ; 9783319303598 ; 3-319-30361-9 ; 3319303597
    DOI 10.1007/978-3-319-30361-1
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article: Do artificial neural networks love sex? How the combination of artificial neural networks with evolutionary algorithms may help to identify gender influence in rheumatic diseases.

    Grossi, Enzo

    Clinical and experimental rheumatology

    2023  Volume 41, Issue 1, Page(s) 1–5

    Abstract: Although medical research has been performed predominantly on men both in preclinical and clinical studies, continuous efforts have been made to overcome this gender bias. Examining retrospectively 21 data sets containing sex as one of the descriptive ... ...

    Abstract Although medical research has been performed predominantly on men both in preclinical and clinical studies, continuous efforts have been made to overcome this gender bias. Examining retrospectively 21 data sets containing sex as one of the descriptive variables, it was possible to verify how many times our AI protocol decided to keep gender information in the predictive model. The data sets pertained a vast array of diseases such as dyspeptic syndrome, atrophic gastritis, venous thrombosis, gastroesophageal reflux disease, irritable bowel syndrome, Alzheimer diseases and mild cognitive impairment, myocardial infarction, gastrointestinal bleeding, gastric cancer, hypercortisolism, AIDS, COVID diagnosis, extracorporeal membrane oxygenation in intensive therapy, among others. The sample size of these data sets ranged between 80 and 3147 (average 600). The number of variables ranged from 19 to 101 (average 41). Gender resulted to be part of the heuristic predictive model 19 out of 21 times. This means that also for highly adaptive and potent tools like Artificial Neural Networks, information on sex carries a specific value. In the field of rheumatology, there is a specific example in psoriatic arthritis that shows that the presence of gender information allows a significantly better accuracy of ANNs in predicting diagnosis from clinical data (from 87.7% to 94.47%). The results of this study confirm the importance of gender information in building high performance predictive model in the field of Artificial Intelligence (AI). Therefore, also for AI, sex counts.
    MeSH term(s) Female ; Humans ; Male ; Algorithms ; Artificial Intelligence ; COVID-19 ; Neural Networks, Computer ; Retrospective Studies ; Rheumatic Diseases
    Language English
    Publishing date 2023-01-23
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 605886-3
    ISSN 1593-098X ; 0392-856X
    ISSN (online) 1593-098X
    ISSN 0392-856X
    DOI 10.55563/clinexprheumatol/vgl2nz
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  4. Article: Artificial neural network and deep learning in Sjögren's disease: where we are and where we are going.

    Baldini, Chiara / La Rocca, Gaetano / Fulvio, Giovanni / Grossi, Enzo

    Clinical and experimental rheumatology

    2023  Volume 41, Issue 12, Page(s) 2360–2362

    MeSH term(s) Humans ; Deep Learning ; Sjogren's Syndrome/complications ; Sjogren's Syndrome/diagnosis ; Neural Networks, Computer
    Language English
    Publishing date 2023-12-13
    Publishing country Italy
    Document type Editorial
    ZDB-ID 605886-3
    ISSN 1593-098X ; 0392-856X
    ISSN (online) 1593-098X
    ISSN 0392-856X
    DOI 10.55563/clinexprheumatol/zpfunz
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  5. Article ; Online: Artificial Neural Networks for a Semantic Map of Variables in a Music Listening-Based Study

    Alfredo Raglio / Enzo Grossi / Luca Manzoni

    Applied Sciences, Vol 13, Iss 21, p

    2023  Volume 11811

    Abstract: Music listening is widely used in therapeutic music-based interventions across various clinical contexts. However, relating the diverse and overlapping musical elements to their potential effects is a complex task. Furthermore, the considerable ... ...

    Abstract Music listening is widely used in therapeutic music-based interventions across various clinical contexts. However, relating the diverse and overlapping musical elements to their potential effects is a complex task. Furthermore, the considerable subjectivity of musical preferences and perceptual components of music, influenced by factors like cultural and musical background, personality structure of the user, and clinical aspects (in the case of diseases), adds to the difficulty. This paper analyzes data derived from a previous randomized controlled study involving a healthy population ( n = 320). The study aimed to induce relaxation through music listening experiences using both conventional and algorithmic approaches. The main goal of the current research is to identify potential relationships among the variables investigated during the experiment. To achieve this, we employed the Auto Contractive Map (Auto-CM), a fourth-generation artificial neural network (ANN). This approach allows us to quantify the strength of association between each of the variables with respect to all others in the dataset. The main results highlighted that individuals who achieved a state of relaxation by listening to music composed by Melomics-Health were predominantly over 49 years old, female, and had a high level of education and musical training. Conversely, for conventional (self-selected) music, the relaxing effect was correlated with the male population, aged less than 50 years, with a high level of education and musical training. Future studies conducted in clinical settings could help identify “responder” populations based on different types of music listening approaches.
    Keywords music listening ; music therapy ; algorithmic music ; Melomics-Health ; artificial neural network ; semantic connectivity map ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
    Subject code 780
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Guidelines for the Perplexed: How to Maximize Colonoscopy Efficiency During the COVID-19 Pandemic.

    Grossi, Enzo / Pace, Fabio

    Digestive diseases and sciences

    2020  Volume 66, Issue 8, Page(s) 2473–2474

    MeSH term(s) COVID-19 ; Colonoscopy ; Early Detection of Cancer ; Humans ; Pandemics ; SARS-CoV-2
    Keywords covid19
    Language English
    Publishing date 2020-10-01
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 304250-9
    ISSN 1573-2568 ; 0163-2116
    ISSN (online) 1573-2568
    ISSN 0163-2116
    DOI 10.1007/s10620-020-06634-3
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  7. Article ; Online: Exceptionally high COVID-19 viral load and very long duration of shedding in a young pauci-symptomatic child with autism resident in an Italian nursing home.

    Grossi, Enzo / Terruzzi, Vittorio

    The Journal of infection

    2020  Volume 82, Issue 2, Page(s) e29–e30

    MeSH term(s) Asymptomatic Infections ; Autistic Disorder/complications ; Autistic Disorder/virology ; COVID-19/diagnosis ; Child ; Humans ; Italy ; Nursing Homes ; RNA, Viral/analysis ; SARS-CoV-2 ; Viral Load ; Virus Shedding
    Chemical Substances RNA, Viral
    Keywords covid19
    Language English
    Publishing date 2020-08-22
    Publishing country England
    Document type Case Reports ; Letter
    ZDB-ID 424417-5
    ISSN 1532-2742 ; 0163-4453
    ISSN (online) 1532-2742
    ISSN 0163-4453
    DOI 10.1016/j.jinf.2020.08.026
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  8. Article ; Online: Nutrition and Autism Spectrum Disorder: Between False Myths and Real Research-Based Opportunities.

    Narzisi, Antonio / Masi, Gabriele / Grossi, Enzo

    Nutrients

    2021  Volume 13, Issue 6

    Abstract: Autism Spectrum Disorder (ASD) is a multicomplex disorder characterized by an umbrella of specific issues in the areas of social communication, restricted interests, and repetitive behaviors [ ... ]. ...

    Abstract Autism Spectrum Disorder (ASD) is a multicomplex disorder characterized by an umbrella of specific issues in the areas of social communication, restricted interests, and repetitive behaviors [...].
    MeSH term(s) Autism Spectrum Disorder ; Cholecalciferol ; Communication ; Diet ; Dietary Supplements ; Gastrointestinal Microbiome ; Humans ; Nutritional Status
    Chemical Substances Cholecalciferol (1C6V77QF41)
    Language English
    Publishing date 2021-06-17
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2518386-2
    ISSN 2072-6643 ; 2072-6643
    ISSN (online) 2072-6643
    ISSN 2072-6643
    DOI 10.3390/nu13062068
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  9. Article: Application of Artificial Neural Networks (ANN) to Elucidate the Connections among Smell, Obesity with Related Metabolic Alterations, and Eating Habit in Patients with Weight Excess.

    Velluzzi, Fernanda / Deledda, Andrea / Lombardo, Mauro / Fosci, Michele / Crnjar, Roberto / Grossi, Enzo / Sollai, Giorgia

    Metabolites

    2023  Volume 13, Issue 2

    Abstract: Obesity is a severe health problem linked to an increased risk of comorbidity and mortality and its etiopathogenesis includes genetic, epigenetic, microbiota composition, and environmental factors, such as dietary habits. The olfactory system plays an ... ...

    Abstract Obesity is a severe health problem linked to an increased risk of comorbidity and mortality and its etiopathogenesis includes genetic, epigenetic, microbiota composition, and environmental factors, such as dietary habits. The olfactory system plays an important role in controlling food intake and meal size, influencing body weight and energy balance. This study aims to identify the connection between olfactory function and clinical and nutritional aspects related to weight excess in a group of 68 patients with overweight or obesity. All participants underwent the evaluation of olfactory function, anthropometric data (weight, height, BMI, waist circumference), clinical data (hypertension, disglycemia, dyslipidemia, metabolic syndrome), and adherence to the Mediterranean diet (Mediterranean Diet Score). A fourth-generation artificial neural network data mining approach was used to uncover trends and subtle associations between variables. Olfactory tests showed that 65% of patients presented hyposmia. A negative correlation was found between olfactory scores and systolic blood pressure, fasting plasma glucose, and triglycerides levels, but a positive correlation was found between olfactory scores and the Mediterranean diet score. The methodology of artificial neural networks and the semantic connectivity map "Auto-Contractive Map" highlighted the underlying scheme of the connections between the variables considered. In particular, hyposmia was linked to obesity and related metabolic alterations and the male sex. The female sex was connected with normosmia, higher adherence to the Mediterranean diet, and normal values of blood pressure, lipids, and glucose levels. These results highlight an inverse correlation between olfactory skills and BMI and show that a normosmic condition, probably because of greater adherence to the Mediterranean diet, seems to protect not only from an excessive increase in body weight but also from associated pathological conditions such as hypertension and metabolic syndrome.
    Language English
    Publishing date 2023-01-30
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo13020206
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  10. Article: Metal Body Burden as Cardiovascular Risk Factor in Adults with Metabolic Syndrome and Overweight-Obesity Analysed with an Artificial Neural Network: The Role of Hair Mineralograms.

    Vigna, Luisella / Tirelli, Amedea Silvia / Grossi, Enzo / Turolo, Stefano / Tomaino, Laura

    Metabolites

    2023  Volume 13, Issue 6

    Abstract: In determining the so-called "body burden", hair has been widely accepted for assessing toxic element exposure. However, its role in assessing essential elements is controversial. This study investigates the possible relationship between hair minerals, ... ...

    Abstract In determining the so-called "body burden", hair has been widely accepted for assessing toxic element exposure. However, its role in assessing essential elements is controversial. This study investigates the possible relationship between hair minerals, metabolic syndrome (MetS) and cardiovascular (CV) risk in non-occupationally exposed subjects with overweight-obesity. Ninety-five voluntary participants (aged 51 ± 12) were recruited in Northern Italy. Hair samples were collected and analysed via inductively coupled plasma mass spectrometry; the total toxicity index (TI) was calculated as well. To evaluate cardiovascular risk factors in the presence or absence of MetS, the following factors were considered via the innovative artificial neural network (ANN) method Auto-CM: hair mineralograms (31 elements) and 25 variables including blood pressure, anthropometric parameters, insulin resistance and biochemical serum markers assessing inflammation. The Framingham risk score, fatty liver index (FLI), visceral adiposity index and CV risk scores were also taken into consideration. As shown by the semantic map, which was subsequently confirmed by an activation and competition system (ACS), obesity parameters are strictly associated with CV risk factors, TI and inflammation; meanwhile, the single mineral elements seem to be unimportant. Data obtained via ANN demonstrate that MetS may be at least partly mediated by altered mineral levels also in the presence of obesity and that waist circumference is a crucial point to be monitored rather than BMI alone. Furthermore, the mineral body burden is one of the important factors for CV risk.
    Language English
    Publishing date 2023-05-23
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662251-8
    ISSN 2218-1989
    ISSN 2218-1989
    DOI 10.3390/metabo13060679
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