AI in Medicine and Imaging

A significant challenge in treating some aggressive cancers and neurological diseases is the lack of understanding regarding the spatial-temporal molecular heterogeneity of the diseased tissue/organ. Molecular characteristics and interaction vary significantly across different spatial sub-units of the tissue/organ. The spatial pattern also changes over time as the disease progresses. The objective of this project is to develop a suite of new statistical models…

This study will investigate longitudinal changes in brain structure and function in high frequency episodic and chronic migraine patients who are responding to erenumab treatment compared to those patients who are non-responders. In addition, pre-treatment and early post-treatment brain imaging data will be used to build models that predict which individual migraine patients will respond to erenumab treatment.

The broad, long-term goal of this multi-disciplinary collaborative of biomedical engineers and physician- scientists is to develop early, non-invasive methods to identify individuals at risk of developing chronic kidney disease (CKD). Current methods to detect Kidney disease are only useful when more than half of the filtering units of the Kidney, Nephrons, are nonfunctional. Nephron number is determined at birth, declines over the lifespan of a human and is directly related to the development of chronic Kidney and Cardiovascular disease…

Post-traumatic headache (PTH) is the most common symptom following mild traumatic brain injury (mTBI). Some PTHs resolve within the first few days of onset, even without any specific treatment. However, in a large proportion of individuals the PTHs do not resolve and they last for many months to years. These persistent PTHs cause substantial pain and disability. There are no approved treatments for PTH and treatments…