Research into the pathophysiology of Alzheimer's disease (AD) has revealed significant insights into the molecular mechanisms underlying its development. A pivotal study highlights the potential of artificial intelligence in predicting individuals at high risk for AD, emphasizing that the accumulation of misfolded beta-amyloid and tau proteins, alongside neuroinflammation, can take decades to manifest. This long window offers opportunities for early intervention (ref: Topol doi.org/10.1126/science.ady3217/). Another study demonstrates the role of lemborexant, a dual orexin receptor antagonist, in ameliorating tau-mediated sleep disturbances and neurodegeneration in a mouse model, suggesting that improving sleep could be a therapeutic target (ref: Parhizkar doi.org/10.1038/s41593-025-01966-7/). Furthermore, large-scale proteomic profiling has identified 416 proteins associated with clinical AD status, providing a foundation for developing diagnostic biomarkers and therapeutic targets (ref: Heo doi.org/10.1038/s43587-025-00872-8/). The activation of AMPK by GLP-1 receptor agonists has also been shown to mitigate AD-related phenotypes, linking metabolic regulation to neuroprotection (ref: Zhang doi.org/10.1038/s43587-025-00869-3/). Immunotherapy targeting tau fragments has demonstrated efficacy in reducing AD pathology and improving cognitive function, highlighting the therapeutic potential of targeting tau (ref: Xiang doi.org/10.1186/s13024-025-00854-9/). Lastly, a novel solvatochromic fluorophore has been developed to track the aggregation of amyloid beta peptides, enhancing our understanding of the early stages of AD pathology (ref: Wang doi.org/10.1021/jacs.5c01512/).