Sunshine Biopharma Inc (SBFM)

[maninmotion1]

in the search for antiviral drugs for Covid-19, Argonne National Laboratory has used five of the world’s most powerful supercomputers to narrow a billion molecules down to a few thousand. Then, with a combination of physics simulations to model the microscopic chemistry and deep learning for pattern recognition, they identified about 30 of the most promising candidates for laboratory study. To fight the coronavirus much more rapidly and effectively, more labs need to use AI to simulate trillions of possibilities, and then use human trials for the most promising ones.

These examples mark only the beginning of AI’s contribution to overcoming health problems. Today we can simulate how small molecules interact with certain virtual or human proteins. As these methods take off in the coming years, we will be able to test all trillions of possible solutions to each health problem very quickly. Using neural nets with sufficient computational power will go way beyond what humans can possibly do on their own. Given the exponential nature of progress in this field, I believe that by the end of the decade we will be able realistically model all biology and simulate interventions for diseases without the need for human trials.

Maybe SBFM is part of this - would be good to hear some updated news