DxSter, the Alzheimer's disease Algorithmic Diagnostic Helper, is a codified algorithm that can diagnose normal cognition, MCI and Dementia which services as a valid alternative that reduces time, effort and biases associated with consensus diagnosis. Codifying the AlgDx algorithmic diagnosis project is an effort to translate the algorithm that calculates the physician and clinical diagnosis. The algorithm is designed to reduce the number of cases that need review in consensus conference. To accomplish this Dr. Meredith Wicklund from the University of Florida has been awarded a grant through the Ed and Ethel Moore Alzheimer’s Research Program in which CTS-IT has been provided funding to translate the AlgDx into Python and JavaScript software libraries.