Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine

Comte, Blandine; Baumbach, Jan; Benis, Arriel; Basílio, José; Debeljak, Nataša; Flobak, Åsmund; Franken, Christian; Harel, Nissim; He, Feng; Kuiper, Martin; Pérez, José Andrés Moreno; Pujos‐Guillot, Estelle; Režen, Tadeja; Rozman, Damjana; Schmid, Johannes A.; Scerri, Jeanesse; Tieri, Paolo; Steen, Kristel Van; Vasudevan, Sona; Watterson, Steven; Schmidt, Harald

doi:10.1089/nsm.2020.0004

Cited by 27 publications

(22 citation statements)

References 146 publications

(192 reference statements)

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“…Model 1 enabled us to consider the systemic aspects of vaccination adherence by looking at each one of the participants as a whole, and at the person’s socio-demographic details, health status, and sentiments concerning COVID-19 vaccination as interdependent variables [ 33 ]. Model 2 was built around a limited number of factors selected as the most influential.…”

Section: Resultsmentioning

confidence: 99%

Reasons for Taking the COVID-19 Vaccine by US Social Media Users

2021

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Political and public health leaders promoting COVID-19 vaccination should identify the most relevant criteria driving the vaccination decision. Social media is increasingly used as a source of vaccination data and as a powerful communication tool to increase vaccination. In December 2020, we performed a cross-sectional social media-based survey addressing personal sentiments toward COVID-19 vaccination in the USA. Our primary research objective is to identify socio-demographic characteristics and the reasons for the 1644 survey participants’ attitudes regarding vaccination. We present clear evidence that, contrary to the prevailing public perceptions, young audiences using social media have mostly a positive attitude towards COVID-19 vaccination (81.5%). These younger individuals want to protect their families and their relatives (96.7%); they see vaccination as an act of civic responsibility (91.9%) and express strong confidence in their healthcare providers (87.7%). Another critical factor is the younger population’s fear of personal COVID-19 infection (88.2%); moreover, the greater the number of children the participants have, the greater is their intent to get the COVID-19 vaccine. These results enable a practical public-messaging pathway to reinforce vaccination campaigns addressing the younger population.

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Section: Resultsmentioning

confidence: 99%

Reasons for Taking the COVID-19 Vaccine by US Social Media Users

2021

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“…ODH aims to facilitate and improve collaboration among practitioners in One Health and digital health communities. This collaboration will allow both communities to benefit from efficient interactions over time and the delivery of near–real-time, data-driven contributions to systems medicine [ 16 ] and systems ecology [ 17 ]. This will also allow citizens to engage with their individual health and well-being.…”

Section: What Is Odh?mentioning

confidence: 99%

One Digital Health: A Unified Framework for Future Health Ecosystems

Benis¹,

Tamburis²,

Chronaki³

et al. 2021

J Med Internet Res

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119

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One Digital Health is a proposed unified structure. The conceptual framework of the One Digital Health Steering Wheel is built around two keys (ie, One Health and digital health), three perspectives (ie, individual health and well-being, population and society, and ecosystem), and five dimensions (ie, citizens’ engagement, education, environment, human and veterinary health care, and Healthcare Industry 4.0). One Digital Health aims to digitally transform future health ecosystems, by implementing a systemic health and life sciences approach that takes into account broad digital technology perspectives on human health, animal health, and the management of the surrounding environment. This approach allows for the examination of how future generations of health informaticians can address the intrinsic complexity of novel health and care scenarios in digitally transformed health ecosystems. In the emerging hybrid landscape, citizens and their health data have been called to play a central role in the management of individual-level and population-level perspective data. The main challenges of One Digital Health include facilitating and improving interactions between One Health and digital health communities, to allow for efficient interactions and the delivery of near–real-time, data-driven contributions in systems medicine and systems ecology. However, digital health literacy; the capacity to understand and engage in health prevention activities; self-management; and collaboration in the prevention, control, and alleviation of potential problems are necessary in systemic, ecosystem-driven public health and data science research. Therefore, people in a healthy One Digital Health ecosystem must use an active and forceful approach to prevent and manage health crises and disasters, such as the COVID-19 pandemic.

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“…Generic or tissue specific models can be built to encompass key regulatory circuits and biomarkers involved in carcinogenesis and core cellular decisions (e.g., cell division, survival, adhesion properties, differentiation). These models could be implemented in clinical settings, for personalised medicine, as predictors of effective therapeutic regimens [ 78 ]. Genomic, transcriptomic, and proteomic datasets are being obtained from patient tumour biopsies.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer

Selvaggio

Chaouiya

Janody

2021

IJMS

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The multistep development of cancer involves the cooperation between multiple molecular lesions, as well as complex interactions between cancer cells and the surrounding tumour microenvironment. The search for these synergistic interactions using experimental models made tremendous contributions to our understanding of oncogenesis. Yet, these approaches remain labour-intensive and challenging. To tackle such a hurdle, an integrative, multidisciplinary effort is required. In this article, we highlight the use of logical computational models, combined with experimental validations, as an effective approach to identify cooperative mechanisms and therapeutic strategies in the context of cancer biology. In silico models overcome limitations of reductionist approaches by capturing tumour complexity and by generating powerful testable hypotheses. We review representative examples of logical models reported in the literature and their validation. We then provide further analyses of our logical model of Epithelium to Mesenchymal Transition (EMT), searching for additional cooperative interactions involving inputs from the tumour microenvironment and gain of function mutations in NOTCH.

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Network and Systems Medicine: Position Paper of the European Collaboration on Science and Technology Action on Open Multiscale Systems Medicine

Cited by 27 publications

References 146 publications

Reasons for Taking the COVID-19 Vaccine by US Social Media Users

Reasons for Taking the COVID-19 Vaccine by US Social Media Users

One Digital Health: A Unified Framework for Future Health Ecosystems

In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer

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