In the past few decades, new and virulent viral diseases have arisen that present important global public health threats. From SARS (severe acute respiratory syndrome) to Zika and currently the COVID-19 pandemic, these outbreaks by viral agents have certainly shown the necessity of rapidly developing an effective vaccine. Traditional vaccine development processes, often taking years or even decades, are too slow to respond to emerging threats. The other way around, rapid improvement in biotechnology, genomics, and artificial intelligence has changed the landscape of vaccine development and hence has made possible the creation and deployment of vaccines at incredible rates. The review article highlights the most relevant innovations in vaccine development against new and emerging viral diseases. The paper puts forth some of the current tools and modern approaches that have reshaped the entire process of vaccine development, testing, and distribution.
Messenger RNA Vaccine Technology Evolution
Over the last few years, one of the most radical innovations in vaccine development has been messenger RNA technology. Unlike the traditional vaccines built on inactivated or attenuated viruses, the mechanism of action for mRNA vaccines introduces a small genetic material of the virus itself into the body. In this way, this messenger RNA gives instructions so that the cells will produce a protein that will stimulate an immune response, something whereby, if the body sees that virus again in the future, it will teach the body how to recognize and fight it. The success of mRNA vaccines against COVID-19 has established a beacon regarding what this technology can do in a very short period of time for any other viral disease, if it evolves in the future. One reason that makes mRNA vaccine development significant is that they can be quickly designed and generated. mRNA vaccines are created within weeks once the genetic sequence of a virus is known, whereas traditional vaccine development takes years. Moreover, it does not require live virus cultures in the production process, which may get contaminated and hence simplify the process.
Vaccine Design by AI and Machine Learning
Artificial intelligence and machine learning are an integral part of the new vaccine development process. They facilitate fast scanning through reams of biological data in search of possible vaccine targets. For example, AI algorithms could predict how a virus’s proteins will fold and interact with the immune system so that more effective vaccines could be designed.
AI has also been very instrumental in the optimization of formulations of vaccines and in making predictions of their efficacy. Machine learning models use past results from vaccine clinical trials to predict the performance of new candidates in different populations. This does not only cut down development time but increases the potential chances of success in clinical trials. Moreover, AI-driven platforms can simulate a myriad of scenarios for the prediction of how a virus might evolve, enabling researchers to stay one step ahead of potential mutations that could render vaccines less effective.