Motivation
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