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Institute of Biomedical Ethics and History of Medicine (IBME)

New Publication: «The Patient Preference Predictor: A Timely Boost for Personalized Medicine»

We are pleased to announce the publication of a new commentary by Nikola Biller-Andorno, Andrea Ferrario, and Armin Biller in The American Journal of Bioethics.

Title: "The Patient Preference Predictor: A Timely Boost for Personalized Medicine"

In this paper, the authors discuss how predictive, preventive, and participatory medicine have advanced, yet personalization remains underexplored beyond the molecular level. They emphasize the importance of patient-centeredness in biomedical ethics and healthcare quality.


Potential of LLMs: Systems using large language models (LLMs) for personalized patient preference predictions show promise in enhancing patient care.

Challenges and Risks: Implementations must be carefully scrutinized to avoid getting bogged down by technical challenges, legal uncertainties, and ethical unclarities.

Resource Allocation: Moving from hypothesis to practical implementation is crucial. Proper resources are needed to transition from the stimulating, yet nascent phase of theorizing personalized patient preference predictions to determining what actually works in clinical practice.

The commentary underscores the need for rigorous examination and thoughtful integration of these systems, avoiding quite a few pitfalls that could derail this valuable idea.

Read the full commentary here.