Axes of a revolution: challenges and promises of big data in healthcare

Digital technology and COVID-19

“…In summary, while the world continues to rely on classic public-health measures for tackling the COVID-19 pandemic, in 2020, there is now a wide range of digital technology that can be In the nearly 60 years since the creation of the MSTP and the 75 years since Bush's seminal report, much has been learned about the complex terrain between bench and bedside and the institutional ingredients needed to realize this vision. As argued in 2016 by distinguished scientist, policymaker and administrator Venkatesh Narayanamurti and engineer-turned-scientific historian and policy expert Toluwalogo Odumosu, in the 21st century, research activities might be better understood in the context of 'discovery-invention cycles' rather than a basic/applied dichotomy 3 . Building on a wealth of historical knowledge, they argue that research exists in virtuous cycles in which some periods are dominated by knowledge creation (discovery) and others are dominated by the creation of new tools or processes (invention).…”

“…T he year 2020 should have been the start of an exciting decade in medicine and science, with the development and maturation of several digital technologies that can be applied to tackle major clinical problems and diseases. These digital technologies include the internet of things (IoT) with nextgeneration telecommunication networks (e.g., 5G) 1,2 ; big-data analytics 3 ; artificial intelligence (AI) that uses deep learning 4,5 ; and blockchain technology 6 . They are highly inter-related: the proliferation of the IoT (e.g., devices and instruments) in hospitals and clinics facilitates the establishment of a highly interconnected digital ecosystem, enabling real-time data collection at scale, which could then be used by AI and deep learning systems to understand healthcare trends, model risk associations and predict outcomes.…”

Covid-19 and the management of patients with inflammatory bowel disease: a practical decalogue for the post-pandemic phase

“…However, several digital technologies that can be applied to tackle major clinical problems and diseases are now available. These digital technologies include: the Internet of Things, with next-generation telecommunication networks; 27 , 28 big-data analytics; 29 artificial intelligence that uses deep learning; 30 , 31 blockchain technology. 32 Of course, these technologies may work synergistically, enhancing the chance to manage health by using modified algorithms to ensure secured but traceable data.…”

Promises of Big Data and Artificial Intelligence in Nephrology and Transplantation

“…In addition, limited activity in kidney research has impacted the evidence base for the treatment of kidney diseases, resulting in a lack of useful surrogate end-points for progression from the early stages of kidney disease-hindered trials [14,15]. On the same note, a great amount of cohort data could also be applied in generating relevant hypotheses and provide major insights into the etiology, pathogenesis, and prognosis of kidney diseases [23,24].…”