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Coping with the COVID-19 crisis lies not just in vaccines and drugs, but also technologies that the world’s scientists quickly geared up to invent or repurpose. This special issue focuses on engineering and technology solutions deployed to deal with the pandemic.
In an unprecedented effort of scientific collaboration, researchers across fields are racing to support the response to COVID-19. Making a global impact with AI tools will require scalable approaches for data, model and code sharing; adapting applications to local contexts; and cooperation across borders.
As the spread of SARS-CoV-2 has triggered worldwide closures of research labs and facilities, Kostas Kostarelos shares his views on what may be going wrong in the fight against COVID-19 and how the nanoscience community could and should contribute.
The attention and resources of AI researchers have been captured by COVID-19. However, successful adoption of AI models in the fight against the pandemic is facing various challenges, including moving clinical needs as the epidemic progresses and the necessity to translate models to local healthcare situations.
The COVID-19 pandemic poses a historical challenge to society. The profusion of data requires machine learning to improve and accelerate COVID-19 diagnosis, prognosis and treatment. However, a global and open approach is necessary to avoid pitfalls in these applications.
Nanotechnology-based antimicrobial and antiviral formulations can prevent SARS-CoV-2 viral dissemination, and highly sensitive biosensors and detection platforms may contribute to the detection and diagnosis of COVID-19.
A global effort is ongoing in the scientific community and in the maker movement, which focuses on creating devices and tinkering with them, to reverse-engineer commercial medical equipment and get it to healthcare workers. For these ‘low-tech’ solutions to have a real impact, it is important for them to coalesce around approved designs.
Further COVID-19 outbreaks are unavoidable. To detect and suppress them, governments ought to implement a range of public health measures aided by technology.