The path to personalized medicine.

By M. Hamburg, F. S. Collins. 2010

957 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Opportunities and obstacles for deep learning in biology and medicine (2017, background): “Success in this area could help to enable personalized healthcare or precision medicine [261,262].”
Causability and explainability of artificial intelligence in medicine (2019, background): “All these aspects together are crucial for applicability in medicine generally, and for future personalized medicine, in particular (Hamburg & Collins, 2010).”
Toward a science of learning systems: a research agenda for the high-functioning Learning Health System (2014, background): “The LHS also promises to empower a new era of personalized medicine.(10) Realizing the promise of personalized medicine requires a key component of what the LHS enables—“knowing what works, understanding why it works, learning for whom it works, and applying that knowledge to address patient needs.”
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models (2015, background): “It is widely accepted that building personalized models [15] is key to solving the problem, taking the inherent variability of the patients into account.”