Magic bullet or marginal bet—does precision medicine offer the best hope for sick individuals and sick populations
Bibliographic Data
| ID | 20964127 |
|---|---|
| Authors | Benjamin Chin-Yee (0000-0003-0737-3603, Western University), Jonathan Fuller (0000-0002-7598-9808, University of Pittsburgh) |
| Year | 2026 |
| Pages | 1-18 |
| Publication date | 2026-06-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Philosophy of Science (JOURNAL) |
| Journal identifiers | ISSN: 0031-8248 • E-ISSN: 1539-767X |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/psa.2026.10235 |
| OpenAlex | W7165840180 |
| Language | EN |
By targeting treatment according to molecular biomarkers, precision medicine promises a revolution in healthcare. We examine this promise by distinguishing three precision medicine strategies: biomarker-stratified-high-risk-targeting, biomarker-based-individual-targeting, and biomarker-based-disease-targeting. Each strategy seeks to boost one of the determinants of the population impact of a medical intervention. We conclude that these strategies give a molecular coating to decades-old tactics. There is no compelling reason to believe that precision medicine strategies are uniquely effective for sick individuals or sick populations
Alternative medicine · MAGIC (telescope) · Magic bullet · Population · Precision medicine · Sick leave · Advanced Causal Inference Techniques · Artificial Intelligence in Healthcare and Education · Cancer Genomics and Diagnostics
| Highly cited | No |
|---|