Artificial Intelligence for Global Health
Artificial intelligence (AI) has been at the forefront of scientific innovation, due to its ability to solve complex problems in a matter of seconds. According to Paul Lukowicz, in extremely simplified terms, AI divides the world into simple parameters, analyses a lot of data, and derives separation boundaries, following the "rubbish in, rubbish out" principle. The two components underpinning AI include 1) statistical analysis and 2) a fast elaborated search. Exemplary cases of applied AI that have captured the global health community include data driven epidemiology an dietary monitoring, however two major challenges associated with AI include control and data protection.
The Emerging infectious disease crisis
The Emerging infectious disease crisis has been extremely prominent, including the more recent outbreaks of Ebola, Zika and MERS. Many of these disease are on WHO's Blueprint list - a list of priority diseases to focus on including the infamous Disease X. Åge Nærdal on behalf of CEPI, supports tools in the digital age, who have recently launched a vaccine technologies platform that can be rapidly deployed against known and newly emerging pathogens. Surveillance, vaccines and early identification - what are we prioritising to tackle the emerging infectious disease crisis?
Are we ready to tackle an outbreak of Disease X?