The Lim Lab’s strength lies in the mouse models we have developed. By utilizing both a spontaneous model and a syngeneic orthotopic model, we start with a single tumor that progresses and metastasizes that we track using uCT scans of the lung. Armed with these models, we have several different projects.

1. Evaluate the effect of cyclical intermittent hypoxia on the primary lung tumor as well as the metastatic niches, with special attention to immunosuppression. 
2. Evaluate the effect of age on primary lung tumor progression and response to anti-cancer drug treatment, with special attention to immunometabolic mechanisms.
3. Develop an in silico approach to systematically understand primary and secondary resistance to anti-cancer drug treatment.
4. Develop an autosegmentation algorithm using ground truth uCT scan data: mice are scanned with nano12000 and tumors will be segmented by experts; machine learning techniques will then be applied to autosegment tumors.
5. Continue to develop our mouse model to simulate humans with lung cancer to improve translation of results to clinical trials.

For more information on the Lim Lab please visit: https://dianelimresearch.com/