The alliance of Big Pharma and Big Tech in the mostly successful quest to develop vaccines to defeat COVID-19 has been one of the most noteworthy events of this year. In the last of the series of articles this week on The Yuan platform predicting the evolution of artificial intelligence in 2022, Ben Armour explores how this marriage has transfigured healthcare, as well as reaping a windfall for both sectors, and forecasts what this union holds in store for 2022.

A pioneering new report offers an overview of pharma RWS/RCT industry developments in 2020-2021, Asia’s RWS market size, trends there and in China - where it predicts 40 percent yearly growth - and showcases Asian RWS industry leaders. It discusses use of virtual Twin Studies, GWAS, Pharmacovigilance and AI, and explores RWS and AI used in diagnostics, biomarkers, image analysis, disease prevention, and Big Data. It then cites the challenges and opportunities faced by AI-driven WRS and lists governmental regulations on RWS and Big Data in Asia.

'Terminator' said, I'll be back," and now indeed returns in this report on the US Defense Intelligence agency's 'Project MARS.' Let Machine Learning (ML) and Neural Network expert Pawel Maksymiak show you the ins and outs of this chilling system, which like Skynet in the movie, deploys the ultimate assassins on AI-targeted kills, among the many other robotic weapons in its arsenal. This story is de rigueur reading for all fans of the film franchise.

All eyes were on AI+Medical at the recent World Artificial Intelligence Conference 2021 in Shanghai, while AI+Healthcare also came under the spotlight at last month’s Arab Health and its intertwined Medlab Middle East in Duba. Differing in theme, the three events still have much in common and highlight the ever-closer marriage of AI and medicine.

‘AI Says Men Are Lazy,’ a headline proclaimed last year. This may be a case of the pot calling the kettle black. AI absorbs the worst traits of its human minders, and indolence is no exception. Slothful AI can be harmful or beneficial in different scenarios. Thus, one AI application took shortcuts in diagnosing COVID-19, with potentially dire consequences. Lazy AI also solved a big problem for the bike-sharing business – the ‘rebalancing problem’ by simply doing nothing.