AI and health data: focus on five use cases of the European health data space
In May 2022, the European Commission launched the European Health Data Space (EHDS), which aims to regulate and improve the use of health data in the...
Since its emergence in Wuhan, China, at the end of 2019, Covid-19 has transformed the world in unprecedented ways, profoundly impacting public health, the economy, and society. As a global pandemic, Covid-19 required a rapid and coordinated response from governments, international organizations, and private sectors to mitigate its devastating effects. Far from being just a virus, Covid-19 acted as a catalyst, accelerating digital transformation, particularly in the education, health, and commerce sectors.
The Covid-19 pandemic not only highlighted the shortcomings of global healthcare systems but also served as a pivotal point for numerous technological innovations. In the field of public health, the virus accelerated the development and adoption of telemedicine and health monitoring technologies. Contact tracing applications were deployed on a large scale, utilizing technologies such as Bluetooth and GPS to curb the spread of the virus. Furthermore, the use of artificial intelligence (AI) improved screening, diagnosis, and patient tracking, contributing to a more effective management of the health crisis.
The economic repercussions of Covid-19 have been significant, but they have also led to remarkable innovations across various sectors. E-commerce, for instance, experienced exponential growth, driven by an increased demand for contactless services. Companies invested heavily in cloud computing and cybersecurity infrastructures to meet this demand. According to a study conducted by Packlink, the personalization of shopping experiences has become a major asset, although it raises concerns about privacy and data protection.
In terms of research and development, Covid-19 has prompted unprecedented collaborations between technology companies and healthcare institutions. Partnerships like the one between Aqemia and Sanofi, aiming to discover small molecule drugs, illustrate how the pandemic has catalyzed collaborative research initiatives. Moreover, the acquisition of startups like InstaDeep by BioNTech demonstrates the growing importance of AI in biotechnology, with applications ranging from protein modeling to early warning of new virus variants.
In the technological ecosystem, Covid-19 has reinforced the position of AI and big data as key elements in addressing global challenges. Initiatives like the DARWIN EU network, aiming to leverage big data for drug evaluation, show how digital technologies are being integrated into regulatory and public health processes. Additionally, the pandemic has underscored the importance of resilient digital infrastructures, prompting businesses and governments to invest in cloud and cybersecurity solutions.
Despite the progress made, Covid-19 continues to pose significant challenges, particularly with the emergence of new variants. Efforts to vaccinate the global population are ongoing, although inequalities persist in vaccine access. Research is now focused on improving treatments and prevention strategies, with increased interest in AI-based approaches. Concurrently, studies like those conducted by the WHO with the Polytechnic University of Valencia highlight the need to enhance the use of AI in mental health research, a field heavily impacted by the pandemic.
In conclusion, Covid-19 has acted as both a revealer and accelerator of technological trends. It has highlighted the necessity for rapid and effective digital transformation in key sectors while emphasizing the challenges to ensure ethical and secure use of technologies. As the world continues to navigate the uncertain waters of this pandemic, innovation and collaboration remain essential to building a more resilient and sustainable future.
Autre
62 articles liés à cet acteur
In May 2022, the European Commission launched the European Health Data Space (EHDS), which aims to regulate and improve the use of health data in the...
Aqemia announced on October 19 that it had raised €30 million in a Series A financing round co-led by Eurazeo and Bpifrance via its Large Venture fund...
For companies, understanding and continuously improving the customer experience has become as important as product development, innovation or marketin...
The Big Data Steering Group jointly established by the European Medicines Agency (EMA) and the network of heads of medicines agencies in the EU, the H...
The pandemic has had a strong impact on airlines. Since the lifting of the health restrictions, they have to face another problem: despite a high dema...
On June 10, 2021, Sanofi, Capgemini, Generali and Orange announced the creation of Future4care, which aims to accelerate the development of European e...
The Haute Autorité de Santé, on November 19, 2021, declared that 10% of Covid-19 patients develop long covid, a syndrome recognized by the WHO in 2020...
The objective of AIOLOS, a real-time multi-source data collection platform based on AI and predictive modeling, is to detect an epidemic linked to a r...
At the end of March, HF Prévention, a national health prevention association, announced that it had created the first conversational artificial intell...
Antibodies, small proteins produced by the immune system, can bind to specific parts of a virus to neutralize it. For example, to combat Covid-19, lab...
Hugo Le Picard, researcher at the Ifri's Energy & Climate Center, and Mathieu Toulemont, Senior Machine Learning Engineer at PhotoRoom, sought to...
On September 15, 2020, the Institut Polytechnique de Paris (IP Paris) and HEC Paris announced the creation of Hi! PARIS, an interdisciplinary research...