Qmetrics’ Chief Technology Officer, José Tamez-Peña, PhD, led a team from Instituto Technologico y de Estudios Superiores de Monterrey (ITESM) in EuroPond’s “The Alzheimer’s Disease Prediction of Longitudinal Evolution” (TADPOLE) Challenge.
The TADPOLE challenge asked participants to predict development and progression of Alzheimer’s Disease based on evaluation in three categories, clinical status, cognitive tests (ADAS-COG13) and ventricle volume. The participants used data from 900 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI).
Dr. Tamez-Peña’s team placed 9th in overall rankings, in a field of 33 entries, and 5th in prediction of ventricle volume. Dr. Tamez-Peña used machine learning and AI to develop a predictive model.
“Congratulations to José for an impressive performance against a worldwide set of teams including academic and commercial experts in AI and machine learning,” said Edward Schreyer, Qmetrics’ CEO. “This result is another example of applying AI to radiological and clinical data to provide better information about disease state and progression.”
For more information about the TADPOLE Challenge, visit their website.