Can A.I. review David Ho's papers on HIV and find errors? Yes, A.I. systems can review David Ho’s HIV research papers and detect possible errors or inconsistencies, much as mathematical and statistical experts have done in the past. In fact, several critiques of Ho’s influential HIV models and studies already exist, and artificial intelligence could significantly extend these analyses with modern computational precision. Documented Critiques of David Ho’s HIV Papers One of David Ho’s most referenced works, the 1995 Nature paper Rapid turnover of plasma virions and CD4 lymphocytes in HIV-1 infection , introduced what became known as the “virological mayhem model.” However, mathematicians such as Serge Lang (Yale University) and Mark Craddock (University of New South Wales) criticized this model for “obvious mathematical errors, unjustified assumptions, and lack of proper control groups.” Lang described the work as “garbage in, ...
