True, but it could be an alternative to the ART treatment. The ART treatment also gives away intelligence, namely a theory, which appears to be that reducing vi

True, but it could be an alternative to the ART treatment. The ART treatment also gives away intelligence, namely a theory, which appears to be that reducing viral load to dormancy levels is a valid attack vectory. Likewise the side effects are considered acceptable in much the way someone might consider office rental costs as a cost of business. Such a machine could be an alternative way to reduce those side effect costs, plus there may also be additional benefits from this approach, like rejuvenating the blood or cleaning it. If someone with HIV or any other virus, lived in a sterile environment, so their complete immune system isnt having to tackle other issues, how much would the viral load go down by? Sterile conditions must be important because of the changes COVID has forced on the medical profession, much like HIV also forced surgeons to start wearing latex gloves to reduce infections. I've noticed over the last 4-5 years, AI cancer cell recognition increasingly being adapted for other uses, like counting bacterial biofilms in tissue samples. Would it be possible to visually recognise virally infected cells using AI, by using some sort of adapted dialysis machine? Has anyone even attempted to visually compare good cells against virally infected cells? Such a device could drastically increase some blood cell tests as such a machine could be seen as a realtime blood test lab on wheels, so the cost of setting up and running lab to carryout a variety of blood tests could become something miniturised and mobile. I'm sure the US military and others would invest substantially in that in order to get closer to their super soldier dreams. Even Nasa might be interested in such an idea for the international space station, when thinking of the radiation risks. I've see Breast Cancer detecting AI's get so good now, they can differentiate between a cancer lump and a calcium lump. To the end user, they just a detect a lump which might then trigger a clinical visit, plenty of worry but the clinicians ignore diet which should start showing up statistically along with other meta data obtained from devices like smart watches, supermarket loyalty cards etc etc. These conditions dont happen on their own in isolation, other events have to occur besides the obvious act, like some illicit drug use.