Birkeland Current’s Sovrinti company ended 2023 with the completion of a National Institute on Aging sponsored program whose objective was to predict acute health events in older adults up to 2 weeks in advance of the occurrence. As part of the NIA sponsored and John’s Hopkins led Artificial Intelligence Technology Collaboratory, Sovrinti successfully developed a deep learning algorithm that was able to predict acute health incidents from the previously validated Sovrin IoT Activity of Daily Monitoring (ADL) system. Using home sensor data from Birkeland Current’s 2020 - 2023 ADL research, the developed deep learning program was trained to recognize changes in individual patterns and predict rising risks of acute issues. A full report is available at www.sovrinti.com. A summary is available below.
