We believe that the full potential of theranostics has not yet been achieved. There is still much to be done to improve the accuracy and efficiency of radiopharmaceutical therapies. We see a future where theranostics is personalized and precise, where patients receive the right treatment at the right time. To help us get there, we’ve developed PyTheranostics.

Pytheranostics is a Python package that provides a comprehensive set of tools for theranostics research. It is designed to be user-friendly, efficient, and flexible, allowing you to perform a wide range of tasks with ease. Whether you’re a beginner or an advanced user, you’ll find something useful in our comprehensive documentation.

Where to find it?

Documentation: https://docs.pytheranostics.qurit.ca/en/latest/

GitHub source: https://github.com/qurit/PyTheranostics


How to cite PyTheranostics

If you are incorporating PyTheranostics into your projects, you can cite this work:

S. Kurkowska, J. Brosch-Lenz, P. L. Esquinas, A. Toosi, L. Polson, A. Rahmim, F. Benard, C. F. Uribe. PyTheranostics: a Novel Software Tool to Accelerate Research in Personalized Theranostics with Preclinical and Clinical Dosimetry. J. Nucl. Med., vol. 65 (suppl. 2): 242469, 2024

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