How Machine Learning is helping to create a vaccine for COVID-19

COVID-19 or simply what we call Nobel Coronavirus is a threat for us and the whole society. Firstly, it can kill persons with weaker immune system or adults with existing health problems. The data collected so far suggests that Nobel Coronavirus has a fatality rate of about 1%, which is several times severe than 1957 influenza pandemic(0.6%) and 1918 influenza pandemic which has a fatality rate of around 2%.

The another problem associated with COVID-19 is its effectiveness of transmission. As I have stated in my previous article that Nobel Coronavirus has a pretty much good technique to jump from person to person or and surface. The thing that is more disastorous is the spread rate goes exponential. One person infects two other persons, those two person infect four, those four person infect eight and it goes on exponentially. There are also strong evidences that lead to a fact that it can be transmitted by people who even don't show symptoms of any kind of illness. When it comes to take a step as a leader, we have to think on two aspects. They have to provide efficient treatment to infected people and secondly they have to stop the further spread of the virus. Several countries have introduced a nation-wide lockdown to cut the chain of spreading. It will definitely affect economy but economy has no comparison with lives. We may rebuild our economy but we can not repay for deaths. So, its important to stay home and stay safe. The world also needs to accelerate the development of vaccines for COVID-19. Our Scientist were able to sequence the genome of the virus and develop several promising vaccine candidates which can be effective against this Nobel Coronavirus. If any of these vaccines proves safe and effective in animal models, they could be ready for larger-scale lab trials in the early June. Drug discovery is automated and accelerated by including machine learning to identify antivirals that could be ready for large scale lab and clinical trials and tests nearly as start of June.

The End Notes

All these steps would help address the current crisis. But we also need to make changes on our system at even larger scale so that we can respond to next epidemic whenever it arrives in more efficient and effective way.

Cheers!