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      Blockchain applications in health care for COVID-19 and beyond: a systematic review

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          Abstract

          The COVID-19 pandemic has had a substantial and global impact on health care, and has greatly accelerated the adoption of digital technology. One of these emerging digital technologies, blockchain, has unique characteristics (eg, immutability, decentralisation, and transparency) that can be useful in multiple domains (eg, management of electronic medical records and access rights, and mobile health). We conducted a systematic review of COVID-19-related and non-COVID-19-related applications of blockchain in health care. We identified relevant reports published in MEDLINE, SpringerLink, Institute of Electrical and Electronics Engineers Xplore, ScienceDirect, arXiv, and Google Scholar up to July 29, 2021. Articles that included both clinical and technical designs, with or without prototype development, were included. A total of 85 375 articles were evaluated, with 415 full length reports (37 related to COVID-19 and 378 not related to COVID-19) eventually included in the final analysis. The main COVID-19-related applications reported were pandemic control and surveillance, immunity or vaccine passport monitoring, and contact tracing. The top three non-COVID-19-related applications were management of electronic medical records, internet of things (eg, remote monitoring or mobile health), and supply chain monitoring. Most reports detailed technical performance of the blockchain prototype platforms (277 [66·7%] of 415), whereas nine (2·2%) studies showed real-world clinical application and adoption. The remaining studies (129 [31·1%] of 415) were themselves of a technical design only. The most common platforms used were Ethereum and Hyperledger. Blockchain technology has numerous potential COVID-19-related and non-COVID-19-related applications in health care. However, much of the current research remains at the technical stage, with few providing actual clinical applications, highlighting the need to translate foundational blockchain technology into clinical use.

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          A SARS-CoV-2 Protein Interaction Map Reveals Targets for Drug-Repurposing

          SUMMARY The novel coronavirus SARS-CoV-2, the causative agent of COVID-19 respiratory disease, has infected over 2.3 million people, killed over 160,000, and caused worldwide social and economic disruption 1,2 . There are currently no antiviral drugs with proven clinical efficacy, nor are there vaccines for its prevention, and these efforts are hampered by limited knowledge of the molecular details of SARS-CoV-2 infection. To address this, we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identified the human proteins physically associated with each using affinity-purification mass spectrometry (AP-MS), identifying 332 high-confidence SARS-CoV-2-human protein-protein interactions (PPIs). Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (29 FDA-approved drugs, 12 drugs in clinical trials, and 28 preclinical compounds). Screening a subset of these in multiple viral assays identified two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the Sigma1 and Sigma2 receptors. Further studies of these host factor targeting agents, including their combination with drugs that directly target viral enzymes, could lead to a therapeutic regimen to treat COVID-19.
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            Digital technology and COVID-19

            The past decade has allowed the development of a multitude of digital tools. Now they can be used to remediate the COVID-19 outbreak.
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              Big data and machine learning algorithms for health-care delivery

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                Author and article information

                Journal
                Lancet Digit Health
                Lancet Digit Health
                The Lancet. Digital Health
                The Author(s). Published by Elsevier Ltd.
                2589-7500
                13 October 2021
                13 October 2021
                Affiliations
                [a ]Singapore National Eye Centre, Singapore Eye Research Institute, Singapore
                [b ]Duke-NUS Medical School, National University of Singapore, Singapore
                [c ]Institute for Digital Medicine and Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
                [d ]N.1 Institute for Health, National University of Singapore, Singapore
                [e ]Department of Biomedical Engineering, National University of Singapore, Singapore
                [f ]Certis Commercial and Industrial Security Corporation Security, Singapore
                [g ]SingHealth Polyclinics, Singapore
                [h ]National Heart Centre Singapore, Singapore
                [i ]Institute of High Performance Computing, Agency for Science, Technology and Research, Singapore
                [j ]Data Science Institute, Imperial College London, London, UK
                [k ]KK Women's and Children's Hospital, Singapore
                Author notes
                [* ]Correspondence to: Dr Daniel Ting, Duke-NUS Medical School, National University of Singapore, Singapore 168751
                [*]

                Contributed equally

                Article
                S2589-7500(21)00210-7
                10.1016/S2589-7500(21)00210-7
                8510632
                34654686
                af6876ac-ea1a-4ae0-b639-d7888ee821af
                © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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