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

    Fagherazzi, Guy

    European journal of epidemiology

    2023  Band 38, Heft 1, Seite(n) 121–122

    Mesh-Begriff(e) Humans ; Neoplasms ; Biomedical Research
    Sprache Englisch
    Erscheinungsdatum 2023-01-04
    Erscheinungsland Netherlands
    Dokumenttyp Letter
    ZDB-ID 632614-6
    ISSN 1573-7284 ; 0393-2990
    ISSN (online) 1573-7284
    ISSN 0393-2990
    DOI 10.1007/s10654-022-00939-5
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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

    Fagherazzi, Guy

    Journal of medical Internet research

    2020  Band 22, Heft 3, Seite(n) 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-Begriff(e) Humans ; Patient-Centered Care/methods ; Phenotype ; Precision Medicine/methods
    Sprache Englisch
    Erscheinungsdatum 2020-03-03
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/16770
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; 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  Band 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.
    Schlagwörter Computer applications to medicine. Medical informatics ; R858-859.7 ; Public aspects of medicine ; RA1-1270
    Sprache Englisch
    Erscheinungsdatum 2020-03-01T00:00:00Z
    Verlag JMIR Publications
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; 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  Band 45, Seite(n) 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.
    Sprache Englisch
    Erscheinungsdatum 2022-09-11
    Erscheinungsland Netherlands
    Dokumenttyp 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
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  5. Artikel ; 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.
    Schlagwörter Forest hydrology ; Coastal hydrology ; Conductivity ; Water content ; External inputs ; Computer applications to medicine. Medical informatics ; R858-859.7 ; Science (General) ; Q1-390
    Sprache Englisch
    Erscheinungsdatum 2022-12-01T00:00:00Z
    Verlag Elsevier
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel ; 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  Band 11, Seite(n) 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-Begriff(e) Humans ; COVID-19/epidemiology ; Post-Acute COVID-19 Syndrome ; Cluster Analysis ; Fatigue ; Pain
    Sprache Englisch
    Erscheinungsdatum 2023-08-17
    Erscheinungsland Switzerland
    Dokumenttyp 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
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel: 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  Band 11, Heft 2, Seite(n) 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.
    Sprache Englisch
    Erscheinungsdatum 2022-11-15
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ZDB-ID 2697014-4
    ISSN 1929-073X
    ISSN 1929-073X
    DOI 10.2196/40655
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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

    Aguayo, Gloria A / Fagherazzi, Guy

    The Lancet. Healthy longevity

    2020  Band 1, Heft 3, Seite(n) e92–e93

    Sprache Englisch
    Erscheinungsdatum 2020-11-19
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2666-7568
    ISSN (online) 2666-7568
    DOI 10.1016/S2666-7568(20)30019-2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: Improving Diabetes-Related Biomedical Literature Exploration in the Clinical Decision-making Process via Interactive Classification and Topic Discovery: Methodology Development Study.

    Ahne, Adrian / Fagherazzi, Guy / Tannier, Xavier / Czernichow, Thomas / Orchard, Francisco

    Journal of medical Internet research

    2022  Band 24, Heft 1, Seite(n) e27434

    Abstract: Background: The amount of available textual health data such as scientific and biomedical literature is constantly growing and becoming more and more challenging for health professionals to properly summarize those data and practice evidence-based ... ...

    Abstract Background: The amount of available textual health data such as scientific and biomedical literature is constantly growing and becoming more and more challenging for health professionals to properly summarize those data and practice evidence-based clinical decision making. Moreover, the exploration of unstructured health text data is challenging for professionals without computer science knowledge due to limited time, resources, and skills. Current tools to explore text data lack ease of use, require high computational efforts, and incorporate domain knowledge and focus on topics of interest with difficulty.
    Objective: We developed a methodology able to explore and target topics of interest via an interactive user interface for health professionals with limited computer science knowledge. We aim to reach near state-of-the-art performance while reducing memory consumption, increasing scalability, and minimizing user interaction effort to improve the clinical decision-making process. The performance was evaluated on diabetes-related abstracts from PubMed.
    Methods: The methodology consists of 4 parts: (1) a novel interpretable hierarchical clustering of documents where each node is defined by headwords (words that best represent the documents in the node), (2) an efficient classification system to target topics, (3) minimized user interaction effort through active learning, and (4) a visual user interface. We evaluated our approach on 50,911 diabetes-related abstracts providing a hierarchical Medical Subject Headings (MeSH) structure, a unique identifier for a topic. Hierarchical clustering performance was compared against the implementation in the machine learning library scikit-learn. On a subset of 2000 randomly chosen diabetes abstracts, our active learning strategy was compared against 3 other strategies: random selection of training instances, uncertainty sampling that chooses instances about which the model is most uncertain, and an expected gradient length strategy based on convolutional neural networks (CNNs).
    Results: For the hierarchical clustering performance, we achieved an F1 score of 0.73 compared to 0.76 achieved by scikit-learn. Concerning active learning performance, after 200 chosen training samples based on these strategies, the weighted F1 score of all MeSH codes resulted in a satisfying 0.62 F1 score using our approach, 0.61 using the uncertainty strategy, 0.63 using the CNN, and 0.45 using the random strategy. Moreover, our methodology showed a constant low memory use with increased number of documents.
    Conclusions: We proposed an easy-to-use tool for health professionals with limited computer science knowledge who combine their domain knowledge with topic exploration and target specific topics of interest while improving transparency. Furthermore, our approach is memory efficient and highly parallelizable, making it interesting for large Big Data sets. This approach can be used by health professionals to gain deep insights into biomedical literature to ultimately improve the evidence-based clinical decision making process.
    Mesh-Begriff(e) Clinical Decision-Making ; Diabetes Mellitus/therapy ; Humans ; Medical Subject Headings ; Neural Networks, Computer ; PubMed
    Sprache Englisch
    Erscheinungsdatum 2022-01-18
    Erscheinungsland Canada
    Dokumenttyp Journal Article
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1439-4456
    ISSN (online) 1438-8871
    ISSN 1439-4456
    DOI 10.2196/27434
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  10. Artikel ; 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  Band 15, Heft 1, Seite(n) 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-Begriff(e) Wetlands ; Conservation of Natural Resources/methods ; Biodiversity ; Climate Change ; Ecosystem ; Soil/chemistry ; Carbon Sequestration ; Fisheries ; Plants
    Chemische Substanzen Soil
    Sprache Englisch
    Erscheinungsdatum 2024-04-29
    Erscheinungsland England
    Dokumenttyp 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
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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