‘People like you’: contemporary figures of personalisation
In plain English
AI plain-English summaryPersonalised medicine promises treatments tailored to your DNA, but the very idea of what a "person" is—and who gets to define it—is being reshaped by data collection, digital platforms, and healthcare algorithms. This project examines how the concept of the person is changing across medicine, data science, and digital culture, and asks whether these changes are good for our health. The problem is that personalised medicine is usually discussed in narrow technical terms—genetic profiles, biomarkers, risk scores—while the broader cultural and social forces that define who counts as a "person" are ignored. This project fills that gap by studying both top-down personalisation (such as NHS risk-stratification tools) and open-ended practices (such as patient-led health data sharing), using a "figural" approach borrowed from the humanities. If successful, this research could reshape how healthcare priorities are set and how individuals understand their own agency in medical systems. It may influence how patient data is collected, interpreted, and acted upon—not just by doctors, but by the algorithms and platforms that increasingly mediate health decisions. The project is primarily conceptual and critical, not a practical tool or intervention. It aims to provoke debate, not deliver a product.
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