Role of IoT and Big Data Support in Healthcare

Background: The novel pandemic of Coronavirus disease 2019 (COVID-19) has becoming a public health issue since March 2020 considering that more than 30 million people were found to be infected worldwide. Particularly, recent evidences suggested that men may be considered as at higher risk of poor prognosis or death once the infection occurred and concerns surfaced in regard of the risk of a possible testicular injury due to SARS-CoV-2 infection. Results: Several data support the existence of a bivalent role of testosterone (T) in driving poor prognosis in patients with COVID-19. On one hand, this is attributable to the fact that T may facilitate SARS-CoV-2 entry in human cells by means of an enhanced expression of transmembrane serine-protease 2 (TMPRSS2) and angiotensin-converting enzyme 2 (ACE2). At the same time, younger man with normal testicular function compared to women of similar age are prone to develop a blunted immune response against SARS-CoV-2, being exposed to less viral clearance and more viral shedding and systemic spread of the disease. Conversely, low levels of serum T observed in hypogonadal men predispose them to a greater background systemic inflammation, cardiovascular and metabolic diseases, and immune system dysfunction, hence driving harmful consequences once SARS-CoV-2 infection occurred. Finally, SARS-CoV-2, as a systemic disease, may also affect testicles with possible concerns for current and future testicular efficiency. Preliminary data suggested that SARS-CoV-2 genome is not normally found in gonads and gametes, therefore sex transmission could be excluded as a possible way to spread the COVID-19. Conclusion: Most data support a role of T as a bivalent risk factor for poor prognosis (high/normal in younger; lower in elderly) in COVID-19. However, the impact of medical treatment aimed to modify T homeostasis for improving the prognosis of affected patients is unknown in this clinical setting. In addition, testicular damage may be a harmful consequence of the infection even in case it occurred asymptomatically but no long-term evidences are currently available to confirm and quantify this phenomenon. Different authors excluded the presence of SARS-CoV-2 in sperm and oocytes, thus limiting worries about both a potential sexual and gamete-to-embryos transmission of COVID-19. Despite these evidence, long-term and well-designed studies are needed to clarify these issues.

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Industry 4.0 and big data: role of government in the advancement of enterprises in Italy and UAE

International Journal of Business Performance Management ◽

10.1504/ijbpm.2020.108317 ◽

2020 ◽

Vol 21 (3) ◽

pp. 261

Author(s):

Lucio Poma ◽

Haya Al Shawwa ◽

Elisabetta Maini

Keyword(s):

Big Data ◽

Industry 4.0 ◽

Role Of Government

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Out of the loop? On the radical and the routine in urban big data

Urban Studies ◽

10.1177/00420980211014026 ◽

2021 ◽

pp. 004209802110140

Author(s):

Sarah Barns

Keyword(s):

Artificial Intelligence ◽

Big Data ◽

Computational Models ◽

Data Driven ◽

Urban Systems ◽

Out Of The Loop ◽

Urban Futures ◽

Urban Behaviour ◽

The City

This commentary interrogates what it means for routine urban behaviours to now be replicating themselves computationally. The emergence of autonomous or artificial intelligence points to the powerful role of big data in the city, as increasingly powerful computational models are now capable of replicating and reproducing existing spatial patterns and activities. I discuss these emergent urban systems of learned or trained intelligence as being at once radical and routine. Just as the material and behavioural conditions that give rise to urban big data demand attention, so do the generative design principles of data-driven models of urban behaviour, as they are increasingly put to use in the production of replicable, autonomous urban futures.

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Big Data Analytics in urology: the story so far and the road ahead

Therapeutic Advances in Urology ◽

10.1177/1756287221998134 ◽

2021 ◽

Vol 13 ◽

pp. 175628722199813

Author(s):

B. M. Zeeshan Hameed ◽

Aiswarya V. L. S. Dhavileswarapu ◽

Nithesh Naik ◽

Hadis Karimi ◽

Padmaraj Hegde ◽

...

Keyword(s):

Big Data ◽

Data Analytics ◽

Early Stage ◽

Big Data Analytics ◽

Positive Trend ◽

The Road ◽

Healthcare Data ◽

Urological Disorders ◽

Different Sources

Artificial intelligence (AI) has a proven record of application in the field of medicine and is used in various urological conditions such as oncology, urolithiasis, paediatric urology, urogynaecology, infertility and reconstruction. Data is the driving force of AI and the past decades have undoubtedly witnessed an upsurge in healthcare data. Urology is a specialty that has always been at the forefront of innovation and research and has rapidly embraced technologies to improve patient outcomes and experience. Advancements made in Big Data Analytics raised the expectations about the future of urology. This review aims to investigate the role of big data and its blend with AI for trends and use in urology. We explore the different sources of big data in urology and explicate their current and future applications. A positive trend has been exhibited by the advent and implementation of AI in urology with data available from several databases. The extensive use of big data for the diagnosis and treatment of urological disorders is still in its early stage and under validation. In future however, big data will no doubt play a major role in the management of urological conditions.

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Big Data and Sustainable Consumption: A Review and Research Agenda

Vision The Journal of Business Perspective ◽

10.1177/09722629211022520 ◽

2021 ◽

pp. 097226292110225

Author(s):

Shobhana Chandra ◽

Sanjeev Verma

Keyword(s):

Big Data ◽

Consumer Behaviour ◽

Business Models ◽

Sustainable Consumption ◽

Big Data Analytics ◽

Consumption Behaviour ◽

Consumer Experiences ◽

Systematic Understanding ◽

The Impact

Big data (BD) is making advances in promoting sustainable consumption behaviour and has attracted the attention of researchers worldwide. Despite the increased focus, the findings of studies on this topic are fragmented, and future researchers need a systematic understanding of the existing literature for identification of the research scope. This study offers a systematic review of the role of BD in promoting sustainable-consumption behaviour with the help of a bibliometric analysis, followed by a thematic analysis. The findings suggest that businesses deploy BD to create sustainable consumer experiences, predict consumer buying patterns, design and alter business models and create nudges for sustainable consumption, while consumers are forcing businesses to develop green operations and supply chains to reduce the latter’s carbon footprint. The major research gaps for future researchers are in the following areas: the impact of big data analytics (BDA) on consumerism, the role of BD in the formation of sustainable habits and consumer knowledge creation for sustainable consumption and prediction of green consumer behaviour.

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