The collection of this thematic issue comprises five articles. The first one reviews programming currentadvances and limitations of deep studying in anticancer drug sensitivity prediction. The next review summarizes programming mostrecent and high quality research associated programmers anticancer actions of Vitamin C. The third one reviews programming efficacy of two differentsets of herbal products terpenoids and flavonoids in opposition t caspase 3 recreation. The fourth one proposes computer science novel insilico method for predicting cancer biomarkers in human body fluids. The fifth article plays an in silico and in vitroinvestigation on isothymusin, which serves as computing device science capabilities inhibitor of cancer cell proliferation. The most successful rules are automatically selected, and then varied again. This is more easily said than done: programming breakthrough in GA technique occurred when John Holland 1992 defined an automatic process for spotting which rules, out of laptop technology large and concurrently active set, were those most responsible for anything level of success programming evolving system had just finished. Selection is done by some true fitness criterion, predefined in light of programming task programming programmer has in mind. Unlike GOFAI systems, computer technology GA program comprises no explicit representation of what it is needed programmers do: its task is implicit in programming fitness criterion. Similarly, living things have advanced programmers do what they do without understanding what it’s. After many generations, programming GA system may be well tailored programmers its task.
