Given the recent issues by the Astrazeneca vaccine, how can the scientific community ensure that there is transparency in the test process? What sort of sampling should be done and how can mobile technologies and artificial intelligence play a part?
Dear Dr. Chandra!
You hit a key point. Transparency of testing processes must become better and AI has a significant role:
1) Nayak, J., Naik, B., Dinesh, P. et al. Intelligent system for COVID-19 prognosis: a state-of-the-art survey. Appl Intell (2021). https://doi.org/10.1007/s10489-020-02102-7 Open access:
Article Intelligent system for COVID-19 prognosis: a state-of-the-art survey
2) Zhang, D., Liu, X., Shao, M. et al. The value of artificial intelligence and imaging diagnosis in the fight against COVID-19. Pers Ubiquit Comput (2021). https://doi.org/10.1007/s00779-021-01522-7 Open access:
Article The value of artificial intelligence and imaging diagnosis i...
3) Guillaume Chassagnon et al. (2021). AI-driven quantification, staging and outcome prediction of COVID-19 pneumonia, Medical Image Analysis, Volume 67, January 2021, Available at: Article AI-Driven quantification, staging and outcome prediction of ...
Yours sincerely, Bulcsu Szekely
Thanks but the challenges are in sharing data due to privacy concerns.
Small number of events will always defeat statistical methods if they are very rare. Vaccine development and clinical trials are necessarily faster for Covid-19 because people are dieing. The VITAL trial (I am a subject) is lasting for 10 years. Should we have done that for covid-19 vaccines? I think not. Too many deaths already but many many people will be saved by these vaccines. Statistical methods that have shorter trials miss RARE events more often but they save more lives. As they say: you pay your money and take your choice. I'll take more lives saved. Best wishes for a safe journey, David Booth
How can the scientific community ensure better testing of COVID-19 vaccines?