Age Related

Age-related research focuses on understanding and predicting the biological processes of aging, aiming to identify biomarkers and develop interventions to improve healthspan and lifespan. Current research utilizes machine learning, particularly deep learning models like 3D CNNs and ResNets, along with techniques like federated learning and contrastive learning, to analyze diverse data sources including MRI scans, metabolomics data, fluorescence spectroscopy, and voice recordings. These efforts are significant for improving diagnostic accuracy of age-related diseases like Alzheimer's, personalizing healthcare interventions, and developing more effective tools for monitoring aging trajectories.