Mild Traumatic Brain Injury (mTBI) is the most common type of brain injury. If undiagnosed, mTBI may lead to various short and long-term abnormalities, which include, but are not limited to, impaired cognitive function, fatigue, depression, irritability and headaches. Existing screening and diagnostic tools to detect acute and early-stage mTBI have insufficient sensitivity and specificity. Therefore, it is important to identify relevant physiological biomarkers that can be integrated into a mutually complementary set using contemporary machine learning tools and data processing methodologies to provide on-site diagnostic of mTBI. Center investigators, led by Britz and Aazhang are developing new mTBI diagnostic tools and respective portable devices that could be employed in the field.