Evidence for personalised medicine: mechanisms, correlation, and new kinds of black box

摘要: Personalised medicine (PM) has been discussed as a medical paradigm shift that will improve health while reducing inefficiency and waste. At the same time, it raises new practical, regulatory, ethical challenges. In this paper, we examine PM strategies epistemologically in order to develop capacities address these challenges, focusing on recently proposed strategy for developing patient-specific models from induced pluripotent stem cells (iPSCs) so make individualised treatment predictions. We compare two main strategies—stratified computational models. Drawing epistemological work philosophy of medicine, explain why methods, powerful, are neither truly personalised nor, speaking, novel strategies. Both forms correlational black box. then argue iPSC would count kind They not rely entirely mechanistic knowledge, they utilise evidence different way other strategies—a enable arguing present method gaining clinical practice, provide an epistemic analysis can help inform challenges system.