Finally, machine-learning models integrating retinal Chlamydia pneumoniae with Aβ42, NLRP3, apoptosis, gliosis, and atrophy demonstrate that multimodal retinal signatures can robustly predict AD diagnosis, neuropathological stage, and cognitive status, highlighting infection- and inflammasome-linked retinal biomarkers as promising, image-accessible indicators of AD-related disease trajectories. Here, NLRP3 is linked to infection.