Artificial Intelligence-Guided Gut-Microenvironment-Triggered Imaging Sensor Reveals Potential Indicators of Parkinson's Disease

The gut-brain axis has recently emerged as a crucial link in the development and progression of Parkinson's disease (PD). Dysregulation of the gut microbiota has been implicated in the pathogenesis of this disease, sparking growing interest in the quest for non-invasive biomarkers derived from the gut for early PD diagnosis. Herein, an artificial intelligence-guided gut-microenvironment-triggered imaging sensor (Eu-MOF@Au-Aptmer) to achieve non-invasive, accurate screening for various stages of PD is presented. The sensor works by analyzing alpha-Syn in the gut using deep learning algorithms. By monitoring changes in alpha-Syn, the sensor can predict the onset of PD with high accuracy. This work has the potential to revolutionize the diagnosis and treatment of PD by allowing for early intervention and personalized treatment plans. Moreover, it exemplifies the promising prospects of integrating artificial intelligence (AI) and advanced sensors in the monitoring and prediction of a broad spectrum of diseases and health conditions. An AI-guided gut-microenvironment-triggered imaging sensor has been developed for non-invasive PD diagnosis. By analyzing alpha-Syn in the gut, this sensor accurately predicts the onset of PD, paving the way for early intervention diagnostic approaches. Beyond PD, this technology holds promise for monitoring and predicting a spectrum of diseases, highlighting the transformative potential of AI and advanced sensor technologies in healthcare. image