together with multiple imaging formats and other data
to fuel the development of next generation of Knowledge-Guided Machine Learning models that are more interpretable, transferable, robust, and label- and sample-efficient,
expanding the role of ML in addressing the most challenging biology problems, forming a virtuous cycle.
