The global COVID-19 (coronavirus disease 2019) pandemic, which was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has resulted in a significant loss of human life around the world. The SARS-CoV-2 has caused significant problems to medical systems and healthcare facilities due to its unexpected global expansion. Despite all of the efforts, developing effective treatments, diagnostic techniques, and vaccinations for this unique virus is a top priority and takes a long time. However, the foremost step in vaccine development is to identify possible antigens for a vaccine. The traditional method was time taking, but after the breakthrough technology of reverse vaccinology (RV) was introduced in 2000, it drastically lowers the time needed to detect antigens ranging from 5–15 years to 1–2 years. The different RV tools work based on machine learning (ML) and artificial intelligence (AI). Models based on AI and ML have shown promising solutions in accelerating the discovery and optimization of new antivirals or effective vaccine candidates. In the present scenario, AI has been extensively used for drug and vaccine research against SARS-COV-2 therapy discovery. This is more useful for the identification of potential existing drugs with inhibitory human coronavirus by using different datasets. The AI tools and computational approaches have led to speedy research and the development of a vaccine to fight against the coronavirus. Therefore, this paper suggests the role of artificial intelligence in the field of clinical trials of vaccines and clinical practices using different tools.
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Article Artificial Intelligence-Based Data-Driven Strategy to Accele...
Leapfrogging clinical research steps via AI has, imo, very little empIrical foundations , dear Eduard Babulak , with respect to the biological reality of living organisms.
My humble opinion
Covid-19 and LongCovid / PostCovid are fully curable diseases:
https://www.researchgate.net/post/LongCovid_PostCovid_syndrome_continued_Erythropoietin_EPO_deficiency_syndrome
https://www.researchgate.net/post/Covid-19_Erythropoietin_EPO_deficiency_syndrome2
The enormous amount of money wasted on vaccines and shutdowns of societies could have been saved, if an ideal version of AI (or an ideal version of a doctor!) had found that out in seconds.
In-data: Covid-patients can't breathe, and oxygen-masks and respirators are in many cases not sufficient.
In-data: High concentrations of inflammatory Cytokines.
out-data: High concentrations of inflammatory cytokines suppresses EPO.
out-data: Increased EPO during milder inflammations normally protects the lung tissue from the inflammatory cytokines.
out-data: The lack of EPO means distorted red blood cell formation, which is why the patients slowly suffocate.
out-data: The lack of EPO causes ...... (see the above links).