How to apply Artificial Intelligence to the HIV/AIDS pandemic

None of us is as wise as all of us, when it comes to diagnostics. So it makes sense to involve deep learning in medicine wherever we can. Think of what IBM’s Watson can do today. Now imagine an AI capable of deep learning — one specifically built for medicine, programmed for diagnostics. Any one person isn’t going to win when pitched against the assembled diagnostic insights and clinical pearls of all the doctors, past and present. Put another way, deep learning could be an incredible force multiplier. And we need all the force multipliers we can get, in this unending war against disease. Build a better mousetrap, as the saying goes, and Nature will build a better mouse. Sure enough, diseases evolve. Even viruses. As you may know, there are multiple strains of HIV? Group M is just one type of the “first” strain (HIV-1) responsible for the human AIDS...