GE HealthCare and Mayo Clinic study personalized prostate cancer therapy
GE HealthCare and Mayo Clinic launched the MI-BET study to explore personalized radioligand therapy for advanced prostate cancer, leveraging imaging and biomarker data. The collaboration stems from their 2023 Strategic Radiology Research Alliance.

*this image is generated using AI for illustrative purposes only.
GE HealthCare and Mayo Clinic announced the MI-BET research collaboration, a novel theranostics study designed to explore a more personalized approach to radioligand therapy (RLT) for patients with advanced prostate cancer. The collaboration aims to evaluate whether imaging- and biomarker-informed insights can support individualized treatment decisions, potentially expanding access to theranostics. This initiative is a direct result of the 2023 Strategic Radiology Research Alliance between Mayo Clinic and GE HealthCare, which focuses on transforming the experience of patients and clinicians in radiology and the delivery of novel therapies.
Radioligand therapy is an emerging treatment approach within theranostics that combines targeted radiopharmaceutical diagnostics and therapies, allowing clinicians to identify and treat cancer with greater precision. Currently, many patients receiving RLT follow a standardized preset number of treatment cycles. The MI-BET study is designed to assess if treatment can be adapted based on an individual patient's disease response over time, including the possibility of pausing RLT treatment.
Key Objectives of MI-BET
The study focuses on leveraging imaging and data to inform treatment decisions. The primary goals include:
- Exploring a personalized approach to radioligand therapy.
- Evaluating the efficacy of imaging- and biomarker-informed insights.
- Supporting individualized care plans for advanced prostate cancer patients.
Background of the Collaboration
The partnership builds on the 2023 Strategic Radiology Research Alliance. This alliance was established to enhance patient and clinician experiences in radiology and facilitate the delivery of novel therapies. The MI-BET study represents a significant step in this ongoing collaboration, aiming to refine treatment protocols in theranostics.
How might the results of the MI-BET study influence regulatory guidelines for personalized radioligand therapy?
What are the potential cost implications of adopting individualized RLT treatment plans compared to standardized cycles?
Could the MI-BET framework be expanded to other cancer types beyond advanced prostate cancer?




























