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  1. Article: ChatGPT in Clinical Toxicology.

    Sabry Abdel-Messih, Mary / Kamel Boulos, Maged N

    JMIR medical education

    2023  Volume 9, Page(s) e46876

    Abstract: ChatGPT has recently been shown to pass the United States Medical Licensing Examination (USMLE). We tested ChatGPT (Feb 13, 2023 release) using a typical clinical toxicology case of acute organophosphate poisoning. ChatGPT fared well in answering all of ... ...

    Abstract ChatGPT has recently been shown to pass the United States Medical Licensing Examination (USMLE). We tested ChatGPT (Feb 13, 2023 release) using a typical clinical toxicology case of acute organophosphate poisoning. ChatGPT fared well in answering all of our queries regarding it.
    Language English
    Publishing date 2023-03-08
    Publishing country Canada
    Document type Journal Article
    ISSN 2369-3762
    ISSN 2369-3762
    DOI 10.2196/46876
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Geospatial techniques for monitoring and mitigating climate change and its effects on human health.

    Kamel Boulos, Maged N / Wilson, John P

    International journal of health geographics

    2023  Volume 22, Issue 1, Page(s) 2

    Abstract: This article begins by briefly examining the multitude of ways in which climate and climate change affect human health and wellbeing. It then proceeds to present a quick overview of how geospatial data, methods and tools are playing key roles in the ... ...

    Abstract This article begins by briefly examining the multitude of ways in which climate and climate change affect human health and wellbeing. It then proceeds to present a quick overview of how geospatial data, methods and tools are playing key roles in the measurement, analysis and modelling of climate change and its effects on human health. Geospatial techniques are proving indispensable for making more accurate assessments and estimates, predicting future trends more reliably, and devising more optimised climate change adaptation and mitigation plans.
    MeSH term(s) Humans ; Climate Change ; Public Health
    Language English
    Publishing date 2023-01-27
    Publishing country England
    Document type Editorial
    ZDB-ID 2091613-9
    ISSN 1476-072X ; 1476-072X
    ISSN (online) 1476-072X
    ISSN 1476-072X
    DOI 10.1186/s12942-023-00324-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Health Digital Twins in Life Science and Health Care Innovation.

    Venkatesh, Kaushik P / Brito, Gabriel / Kamel Boulos, Maged N

    Annual review of pharmacology and toxicology

    2023  Volume 64, Page(s) 159–170

    Abstract: Health digital twins (HDTs) are virtual representations of real individuals that can be used to simulate human physiology, disease, and drug effects. HDTs can be used to improve drug discovery and development by providing a data-driven approach to inform ...

    Abstract Health digital twins (HDTs) are virtual representations of real individuals that can be used to simulate human physiology, disease, and drug effects. HDTs can be used to improve drug discovery and development by providing a data-driven approach to inform target selection, drug delivery, and design of clinical trials. HDTs also offer new applications into precision therapies and clinical decision making. The deployment of HDTs at scale could bring a precision approach to public health monitoring and intervention. Next steps include challenges such as addressing socioeconomic barriers and ensuring the representativeness of the technology based on the training and validation data sets. Governance and regulation of HDT technology are still in the early stages.
    MeSH term(s) Humans ; Biological Science Disciplines ; Drug Delivery Systems ; Drug Discovery ; Technology ; Delivery of Health Care
    Language English
    Publishing date 2023-08-10
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 196587-6
    ISSN 1545-4304 ; 0362-1642
    ISSN (online) 1545-4304
    ISSN 0362-1642
    DOI 10.1146/annurev-pharmtox-022123-022046
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Geospatial techniques for monitoring and mitigating climate change and its effects on human health

    Maged N. Kamel Boulos / John P. Wilson

    International Journal of Health Geographics, Vol 22, Iss 1, Pp 1-

    2023  Volume 7

    Abstract: Abstract This article begins by briefly examining the multitude of ways in which climate and climate change affect human health and wellbeing. It then proceeds to present a quick overview of how geospatial data, methods and tools are playing key roles in ...

    Abstract Abstract This article begins by briefly examining the multitude of ways in which climate and climate change affect human health and wellbeing. It then proceeds to present a quick overview of how geospatial data, methods and tools are playing key roles in the measurement, analysis and modelling of climate change and its effects on human health. Geospatial techniques are proving indispensable for making more accurate assessments and estimates, predicting future trends more reliably, and devising more optimised climate change adaptation and mitigation plans.
    Keywords Climate change ; Human-induced warming ; Geospatial data ; Geographic information systems (GIS) ; Remote sensing ; Human health ; Computer applications to medicine. Medical informatics ; R858-859.7
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Privacy-by-Design Environments for Large-Scale Health Research and Federated Learning from Data.

    Zhang, Peng / Kamel Boulos, Maged N

    International journal of environmental research and public health

    2022  Volume 19, Issue 19

    Abstract: This article offers a brief overview of 'privacy-by-design (or data-protection-by-design) research environments', namely Trusted Research Environments (TREs, most commonly used in the United Kingdom) and Personal Health Trains (PHTs, most commonly used ... ...

    Abstract This article offers a brief overview of 'privacy-by-design (or data-protection-by-design) research environments', namely Trusted Research Environments (TREs, most commonly used in the United Kingdom) and Personal Health Trains (PHTs, most commonly used in mainland Europe). These secure environments are designed to enable the safe analysis of multiple, linked (and often big) data sources, including sensitive personal data and data owned by, and distributed across, different institutions. They take data protection and privacy requirements into account from the very start (conception phase, during system design) rather than as an afterthought or 'patch' implemented at a later stage on top of an existing environment. TREs and PHTs are becoming increasingly important for conducting large-scale privacy-preserving health research and for enabling federated learning and discoveries from big healthcare datasets. The paper also presents select examples of successful TRE and PHT implementations and of large-scale studies that used them.
    MeSH term(s) Computer Security ; Delivery of Health Care ; Europe ; Information Storage and Retrieval ; Privacy
    Language English
    Publishing date 2022-09-20
    Publishing country Switzerland
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph191911876
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Modelling the Predictors of Mobile Health (mHealth) Adoption among Healthcare Professionals in Low-Resource Environments.

    Azam, Mehreen / Bin Naeem, Salman / Kamel Boulos, Maged N / Faiola, Anthony

    International journal of environmental research and public health

    2023  Volume 20, Issue 23

    Abstract: This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals ... ...

    Abstract This study was conducted with objectives to measure and validate the unified theory of the acceptance and use of technology (UTAUT) model as well as to identify the predictors of mobile health (mHealth) technology adoption among healthcare professionals in limited-resource settings. A cross-sectional survey was conducted at the six public and private hospitals in the two districts (Lodhran and Multan) of Punjab, Pakistan. The participants of the study comprised healthcare professionals (registered doctors and nurses) working in the participating hospitals. The findings of the seven-factor measurement model showed that behavioral intention (BI) to mHealth adoption is significantly influenced by performance expectancy (β = 0.504, CR = 5.064,
    MeSH term(s) Humans ; Cross-Sectional Studies ; Telemedicine ; Health Personnel ; Physicians ; Models, Theoretical
    Language English
    Publishing date 2023-11-26
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph20237112
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  7. Article: Digital Twins: From Personalised Medicine to Precision Public Health.

    Kamel Boulos, Maged N / Zhang, Peng

    Journal of personalized medicine

    2021  Volume 11, Issue 8

    Abstract: A digital twin is a virtual model of a physical entity, with dynamic, bi-directional links between the physical entity and its corresponding twin in the digital domain. Digital twins are increasingly used today in different industry sectors. Applied to ... ...

    Abstract A digital twin is a virtual model of a physical entity, with dynamic, bi-directional links between the physical entity and its corresponding twin in the digital domain. Digital twins are increasingly used today in different industry sectors. Applied to medicine and public health, digital twin technology can drive a much-needed radical transformation of traditional electronic health/medical records (focusing on individuals) and their aggregates (covering populations) to make them ready for a new era of precision (and accuracy) medicine and public health. Digital twins enable learning and discovering new knowledge, new hypothesis generation and testing, and
    Language English
    Publishing date 2021-07-29
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2662248-8
    ISSN 2075-4426
    ISSN 2075-4426
    DOI 10.3390/jpm11080745
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  8. Article: Opportunistic atrial fibrillation screening and detection in "self-service health check-up stations": a brief overview of current technology potential and possibilities.

    Kamel Boulos, Maged N / Haywood, Guy

    mHealth

    2021  Volume 7, Page(s) 12

    Abstract: Up to a fifth of patients who suffer a stroke had undiagnosed atrial fibrillation (AF). About 30% of AF patients are asymptomatic and remain undiagnosed, so there are no obvious (to the patient) forewarnings. Opportunistic screening for AF applied to the ...

    Abstract Up to a fifth of patients who suffer a stroke had undiagnosed atrial fibrillation (AF). About 30% of AF patients are asymptomatic and remain undiagnosed, so there are no obvious (to the patient) forewarnings. Opportunistic screening for AF applied to the above clinical situation can save lives, since the strokes that occur as a result of AF are often large, severely debilitating or fatal. Today, anyone can buy a good, FDA-approved mobile electrocardiogram (ECG) device/smartwatch for AF detection on Amazon for €100-400, but not very many asymptomatic AF patients, particularly older patients, will do so on their own. In this article, we introduce the concept and potential benefits of opportunistic AF screening and detection in a community setting using the latest generation of affordable digital ECG capture and interpretation solutions integrated into easy-to-use "self-service health check-up stations" installed in public spaces, such as supermarkets and pharmacies. A comprehensive trial of the proposed self-service health check-up stations for AF screening is needed to produce more evidence to convince decision makers to fully buy into the idea of a nation-wide screening programme using these kiosks.
    Language English
    Publishing date 2021-01-20
    Publishing country China
    Document type Journal Article ; Review
    ISSN 2306-9740
    ISSN 2306-9740
    DOI 10.21037/mhealth-19-204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Mobile physical activity planning and tracking: a brief overview of current options and desiderata for future solutions.

    Kamel Boulos, Maged N / Yang, Stephen P

    mHealth

    2021  Volume 7, Page(s) 13

    Abstract: Consistent and enjoyable physical activity (PA) can be a crucial component to improving or maintaining one's overall health status. Using advanced features on smartphones (GPS, Bluetooth, motion sensing, etc.) coupled with an app or game that is able to ... ...

    Abstract Consistent and enjoyable physical activity (PA) can be a crucial component to improving or maintaining one's overall health status. Using advanced features on smartphones (GPS, Bluetooth, motion sensing, etc.) coupled with an app or game that is able to assist mobile users to not only track location, but also to interact socially with others based in real-life (IRL), virtual reality (VR), or alternate-reality (ARG), has the potential to give health experts better tools to encourage higher compliance to protocols, rehabilitation, behaviour change and health outcomes. This paper outlines the available mHealth apps that capitalize on pervasive smartphone features coupled with sensors, and suggests which features might impact future PA patterns. The authors argue that the ultimate mobile PA planning and tracking app/platform will be the one capable of supporting both precision and accuracy health (offering truly individualized PA advice and coaching while preserving user privacy) and precision and accuracy public health (providing public health decision makers with community-level PA indicators obtained from app data aggregates of user populations).
    Language English
    Publishing date 2021-01-20
    Publishing country China
    Document type Journal Article ; Review
    ISSN 2306-9740
    ISSN 2306-9740
    DOI 10.21037/mhealth.2020.01.01
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: COVID-19 Misinformation Online and Health Literacy: A Brief Overview.

    Bin Naeem, Salman / Kamel Boulos, Maged N

    International journal of environmental research and public health

    2021  Volume 18, Issue 15

    Abstract: Low digital health literacy affects large percentages of populations around the world and is a direct contributor to the spread of COVID-19-related online misinformation (together with bots). The ease and 'viral' nature of social media sharing further ... ...

    Abstract Low digital health literacy affects large percentages of populations around the world and is a direct contributor to the spread of COVID-19-related online misinformation (together with bots). The ease and 'viral' nature of social media sharing further complicate the situation. This paper provides a quick overview of the magnitude of the problem of COVID-19 misinformation on social media, its devastating effects, and its intricate relation to digital health literacy. The main strategies, methods and services that can be used to detect and prevent the spread of COVID-19 misinformation, including machine learning-based approaches, health literacy guidelines, checklists, mythbusters and fact-checkers, are then briefly reviewed. Given the complexity of the COVID-19 infodemic, it is very unlikely that any of these approaches or tools will be fully effective alone in stopping the spread of COVID-19 misinformation. Instead, a mixed, synergistic approach, combining the best of these strategies, methods, and services together, is highly recommended in tackling online health misinformation, and mitigating its negative effects in COVID-19 and future pandemics. Furthermore, techniques and tools should ideally focus on evaluating both the message (information content) and the messenger (information author/source) and not just rely on assessing the latter as a quick and easy proxy for the trustworthiness and truthfulness of the former. Surveying and improving population digital health literacy levels are also essential for future infodemic preparedness.
    MeSH term(s) COVID-19 ; Communication ; Health Literacy ; Humans ; Pandemics ; SARS-CoV-2 ; Social Media
    Language English
    Publishing date 2021-07-30
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph18158091
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