1. We take fluorescence microscopy pictures of the mitochondria of pure senescent cells, live cells, and dead cells and form a dataset using those pictures.
2. We run the dataset through a convolutional neural network and find key features of the cells (biomarkers and markers).
3. We find targeted therapies using the biomarkers and markers we've found.
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