Cellular time-series imaging, modeling, and analysis system

A method for determining a cell state of one or more cells, the method comprising:

• receiving a set of time-series image data depicting one or more cells;
• determining a sequence of embeddings by inputting the set of time-series image data into a first trained machine learning model;
• determining a summary embedding based on the sequence of embeddings, the summary embedding comprising a temporal dimension based on temporal information associated with the sequence of embeddings;
• and
• determining the cell state of the one or more cells of the subject by inputting the summary embedding into a second trained machine learning model.

A non-transitory computer-readable storage medium storing one or more programs for determining a cell state of one or more cells, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to:

• receive a set of time-series image data depicting one or more cells;
• determine a sequence of embeddings by inputting the set of time-series image data into a first trained machine learning model;
• determine a summary embedding based on the sequence of embeddings, the summary embedding comprising a temporal dimension based on temporal information associated with the sequence of embeddings;
• and
• determine the cell state of the one or more cells of the subject by inputting the summary embedding into a second trained machine learning model.