LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 595

Search options

  1. Article ; Online: Towards a European "Cohort Moonshot": revisiting the long-term strategy to support health research of tomorrow.

    Fagherazzi, Guy

    European journal of epidemiology

    2023  Volume 38, Issue 1, Page(s) 121–122

    MeSH term(s) Humans ; Neoplasms ; Biomedical Research
    Language English
    Publishing date 2023-01-04
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 632614-6
    ISSN 1573-7284 ; 0393-2990
    ISSN (online) 1573-7284
    ISSN 0393-2990
    DOI 10.1007/s10654-022-00939-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: Deep Digital Phenotyping and Digital Twins for Precision Health: Time to Dig Deeper.

    Fagherazzi, Guy

    Journal of medical Internet research

    2020  Volume 22, Issue 3, Page(s) e16770

    Abstract: This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone's digital ... ...

    Abstract This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone's digital twin, and how to finally enter the era of patient-centered care and modify the way we view disease management and prevention.
    MeSH term(s) Humans ; Patient-Centered Care/methods ; Phenotype ; Precision Medicine/methods
    Language English
    Publishing date 2020-03-03
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/16770
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article ; Online: Deep Digital Phenotyping and Digital Twins for Precision Health

    Fagherazzi, Guy

    Journal of Medical Internet Research, Vol 22, Iss 3, p e

    Time to Dig Deeper

    2020  Volume 16770

    Abstract: This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone’s digital ... ...

    Abstract This viewpoint describes the urgent need for more large-scale, deep digital phenotyping to advance toward precision health. It describes why and how to combine real-world digital data with clinical data and omics features to identify someone’s digital twin, and how to finally enter the era of patient-centered care and modify the way we view disease management and prevention.
    Keywords Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2020-03-01T00:00:00Z
    Publisher JMIR Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  4. Article ; Online: Groundwater, soil moisture, light and weather data collected in a coastal forest bordering a salt marsh in the Delmarva Peninsula (VA).

    Nordio, Giovanna / Fagherazzi, Sergio

    Data in brief

    2022  Volume 45, Page(s) 108584

    Abstract: Data presented in this paper were collected in eight sites across a coastal forest in the Delmarva Peninsula, VA USA. The sites, located along transects from the marshland to the inner forest, are representative of the progressive forest retreat and the ... ...

    Abstract Data presented in this paper were collected in eight sites across a coastal forest in the Delmarva Peninsula, VA USA. The sites, located along transects from the marshland to the inner forest, are representative of the progressive forest retreat and the consequent marsh expansion driven by sea level rise. The sites are divided in marsh, transition zone where marsh vegetation is invading the forest, low forest, where tree dieback is widespread, intermediate forest (medium forest), where trees show signs of stress, and high forest, where trees are healthy. Sea level rise and storm surge events are the drivers of the forest conversion to salt marsh. Groundwater level and electrical conductivity were measured in a well at each site. Soil water content and electrical conductivity data were measured in the first 7-cm layer of soil. Weather and light data were collected to determine the effects of external inputs on groundwater and soil moisture datasets and to relate hydrological variables and illuminance to local ecology. Data collected are fundamental to estimate feedbacks between hydrology and ecology in the study area and to quantify forest retreat due to flooding and salinization.
    Language English
    Publishing date 2022-09-11
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2022.108584
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: Groundwater, soil moisture, light and weather data collected in a coastal forest bordering a salt marsh in the Delmarva Peninsula (VA)

    Giovanna Nordio / Sergio Fagherazzi

    Data in Brief, Vol 45, Iss , Pp 108584- (2022)

    2022  

    Abstract: Data presented in this paper were collected in eight sites across a coastal forest in the Delmarva Peninsula, VA USA. The sites, located along transects from the marshland to the inner forest, are representative of the progressive forest retreat and the ... ...

    Abstract Data presented in this paper were collected in eight sites across a coastal forest in the Delmarva Peninsula, VA USA. The sites, located along transects from the marshland to the inner forest, are representative of the progressive forest retreat and the consequent marsh expansion driven by sea level rise. The sites are divided in marsh, transition zone where marsh vegetation is invading the forest, low forest, where tree dieback is widespread, intermediate forest (medium forest), where trees show signs of stress, and high forest, where trees are healthy. Sea level rise and storm surge events are the drivers of the forest conversion to salt marsh. Groundwater level and electrical conductivity were measured in a well at each site. Soil water content and electrical conductivity data were measured in the first 7-cm layer of soil. Weather and light data were collected to determine the effects of external inputs on groundwater and soil moisture datasets and to relate hydrological variables and illuminance to local ecology. Data collected are fundamental to estimate feedbacks between hydrology and ecology in the study area and to quantify forest retreat due to flooding and salinization.
    Keywords Forest hydrology ; Coastal hydrology ; Conductivity ; Water content ; External inputs ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Language English
    Publishing date 2022-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  6. Article ; Online: The Long COVID experience from a patient's perspective: a clustering analysis of 27,216 Reddit posts.

    Ayadi, Hanin / Bour, Charline / Fischer, Aurélie / Ghoniem, Mohammad / Fagherazzi, Guy

    Frontiers in public health

    2023  Volume 11, Page(s) 1227807

    Abstract: Objective: This work aims to study the profiles of Long COVID from the perspective of the patients spontaneously sharing their experiences and symptoms on Reddit.: Methods: We collected 27,216 posts shared between July 2020 and July 2022 on Long ... ...

    Abstract Objective: This work aims to study the profiles of Long COVID from the perspective of the patients spontaneously sharing their experiences and symptoms on Reddit.
    Methods: We collected 27,216 posts shared between July 2020 and July 2022 on Long COVID-related Reddit forums. Natural language processing, clustering techniques and a Long COVID symptoms lexicon were used to extract the different symptoms and categories of symptoms and to study the co-occurrences and correlation between them.
    Results: More than 78% of the posts mentioned at least one Long COVID symptom. Fatigue (29.4%), pain (22%), clouded consciousness (19.1%), anxiety (17.7%) and headaches (15.6%) were the most prevalent symptoms. They also highly co-occurred with a variety of other symptoms (e.g., fever, sinonasal congestion). Different categories of symptoms were found: general (45.5%), neurological/ocular (42.9%), mental health/psychological/behavioral (35.2%), body pain/mobility (35.1%) and cardiorespiratory (31.2%). Posts focusing on other concerns of the community such as vaccine, recovery and relapse and, symptom triggers were detected.
    Conclusions: We demonstrated the benefits of leveraging large volumes of data from Reddit to characterize the heterogeneity of Long COVID profiles. General symptoms, particularly fatigue, have been reported to be the most prevalent and frequently co-occurred with other symptoms. Other concerns, such as vaccination and relapse following recovery, were also addressed by the Long COVID community.
    MeSH term(s) Humans ; COVID-19/epidemiology ; Post-Acute COVID-19 Syndrome ; Cluster Analysis ; Fatigue ; Pain
    Language English
    Publishing date 2023-08-17
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2711781-9
    ISSN 2296-2565 ; 2296-2565
    ISSN (online) 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2023.1227807
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research.

    Fischer, Aurelie / Elbeji, Abir / Aguayo, Gloria / Fagherazzi, Guy

    Interactive journal of medical research

    2022  Volume 11, Issue 2, Page(s) e40655

    Abstract: The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical practice or research for safety and emergency reasons, justifying the need for innovative digital health solutions to monitor key parameters or symptoms related to COVID- ... ...

    Abstract The COVID-19 pandemic accelerated the use of remote patient monitoring in clinical practice or research for safety and emergency reasons, justifying the need for innovative digital health solutions to monitor key parameters or symptoms related to COVID-19 or Long COVID. The use of voice-based technologies, and in particular vocal biomarkers, is a promising approach, voice being a rich, easy-to-collect medium with numerous potential applications for health care, from diagnosis to monitoring. In this viewpoint, we provide an overview of the potential benefits and limitations of using voice to monitor COVID-19, Long COVID, and related symptoms. We then describe an optimal pipeline to bring a vocal biomarker candidate from research to clinical practice and discuss recommendations to achieve such a clinical implementation successfully.
    Language English
    Publishing date 2022-11-15
    Publishing country Canada
    Document type Journal Article
    ZDB-ID 2697014-4
    ISSN 1929-073X
    ISSN 1929-073X
    DOI 10.2196/40655
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: Intricate relationships between frailty and diabetes: where do we go from here?

    Aguayo, Gloria A / Fagherazzi, Guy

    The Lancet. Healthy longevity

    2020  Volume 1, Issue 3, Page(s) e92–e93

    Language English
    Publishing date 2020-11-19
    Publishing country England
    Document type Journal Article
    ISSN 2666-7568
    ISSN (online) 2666-7568
    DOI 10.1016/S2666-7568(20)30019-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  9. Article ; Online: Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice.

    Fagherazzi, Guy / Fischer, Aurélie / Ismael, Muhannad / Despotovic, Vladimir

    Digital biomarkers

    2021  Volume 5, Issue 1, Page(s) 78–88

    Abstract: Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers ... ...

    Abstract Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare.
    Language English
    Publishing date 2021-04-16
    Publishing country Switzerland
    Document type Journal Article ; Review
    ISSN 2504-110X
    ISSN (online) 2504-110X
    DOI 10.1159/000515346
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: A global meta-analysis on the drivers of salt marsh planting success and implications for ecosystem services.

    Liu, Zezheng / Fagherazzi, Sergio / He, Qiang / Gourgue, Olivier / Bai, Junhong / Liu, Xinhui / Miao, Chiyuan / Hu, Zhan / Cui, Baoshan

    Nature communications

    2024  Volume 15, Issue 1, Page(s) 3643

    Abstract: Planting has been widely adopted to battle the loss of salt marshes and to establish living shorelines. However, the drivers of success in salt marsh planting and their ecological effects are poorly understood at the global scale. Here, we assemble a ... ...

    Abstract Planting has been widely adopted to battle the loss of salt marshes and to establish living shorelines. However, the drivers of success in salt marsh planting and their ecological effects are poorly understood at the global scale. Here, we assemble a global database, encompassing 22,074 observations reported in 210 studies, to examine the drivers and impacts of salt marsh planting. We show that, on average, 53% of plantings survived globally, and plant survival and growth can be enhanced by careful design of sites, species selection, and novel planted technologies. Planting enhances shoreline protection, primary productivity, soil carbon storage, biodiversity conservation and fishery production (effect sizes = 0.61, 1.55, 0.21, 0.10 and 1.01, respectively), compared with degraded wetlands. However, the ecosystem services of planted marshes, except for shoreline protection, have not yet fully recovered compared with natural wetlands (effect size = -0.25, 95% CI -0.29, -0.22). Fortunately, the levels of most ecological functions related to climate change mitigation and biodiversity increase with plantation age when compared with natural wetlands, and achieve equivalence to natural wetlands after 5-25 years. Overall, our results suggest that salt marsh planting could be used as a strategy to enhance shoreline protection, biodiversity conservation and carbon sequestration.
    MeSH term(s) Wetlands ; Conservation of Natural Resources/methods ; Biodiversity ; Climate Change ; Ecosystem ; Soil/chemistry ; Carbon Sequestration ; Fisheries ; Plants
    Chemical Substances Soil
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-024-47769-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top