Flow Guided Localization

Flow-guided localization aims to pinpoint the location of events within a flowing medium, such as a bloodstream, using data from miniaturized sensors. Current research heavily utilizes graph neural networks (GNNs) to process often-erroneous sensor data, and explores methods to adapt these models to individual physiological variations and account for limitations in sensor communication and energy. This field holds significant promise for advancing minimally invasive medical diagnostics and monitoring by enabling precise localization of disease markers or therapeutic agents within the body.