That’s where the major efforts are now - identifying the commonalities within multiple (hopefully all, there is more than 200) types of cancers or mechanisms of pathological growth, to use in both the early diagnostics and treatments, and selectively targeting only tumor tissue, without harming the rest of the body and immune system.
Often it comes down to pattern matching, and it’s somewhat easier now with the advent of Big Data and networks of computers and [database] languages which can analyze vast amounts of complex unstructured/semi-structured data collection.
Often it comes down to pattern matching,
Im curious what those patterns are. Could you give some examples?