Precision medicine is on the verge of transforming the treatment of neurodegenerative diseases (NDDs) like Alzheimer's disease (AD) and Parkinson's disease (PD), in response to the intricate interactions of genetic, epigenetic, environmental, and lifestyle factors underlying disease heterogeneity. As the world's aging populations grow, with dementia cases expected to double by 2040 and the costs amounting to over €130 billion a year in Europe alone, there is an urgent need for novel strategies to stem the socioeconomic costs of NDDs. Conventional "one-drug-fits-all" strategies that depend on late-stage symptom treatment are progressively insufficient for disorders that are marked by heterogeneous molecular pathways and unpredictable clinical courses. Recent improvements in artificial intelligence (AI), multi-omics integration, and biomarker research now allow patients to be stratified into subpopulations following their genetic risk profiles, neuroimaging signatures, and fluid biomarkers (e.g., amyloid-beta, tau, α-synuclein), enabling early diagnosis and focused treatments. For example, artificial intelligence platforms such as the IHI-PROMINENT project are creating forecasting algorithms to chart disease progression and tailor treatment outcomes, and gene therapy and antisense oligonucleotides (ASOs) address precise mutations in familial AD and PD. These advances are supported by pharmacogenomics, which individualizes drug regimens according to metabolic profiles to reduce side effects and maximize efficacy. Still, translating these advances into practice has major barriers to overcome, such as large-scale biomarker validation, multi-omics standardization, and incorporating real-world evidence from digital health technologies. Aging populations only add complexity to this environment, as comorbidities like diabetes and cardiovascular diseases interact with neurodegenerative pathways, requiring system-based, holistic approaches to care. Equity is still a key challenge: differences in access to sophisticated diagnostics (e.g., PET scans, CSF examination) and expensive therapies (e.g., monoclonal antibodies, CAR-T cell therapy) threaten to worsen global health disparities. In retaliation, initiatives such as the JPND research paradigm advance remote clinical trials and telemedicine platforms for the diverse community in decentralized settings, and policies target reducing financial disincentives through risk-sharing strategies and public-private partnerships. Precision medicine in the treatment of NDDs depends on an integrated network among academia, clinics, and industry, by taking advantage of communal biobanks and AI-enabled big data analysis, for refining the drug development process and validating new targets, e.g., neuroinflammatory signaling and gut-brain axis dysfunction. Innovations, like CRISPR-mediated editing and ambient neuroimaging, have innate or potential power to personalize treatment by identifying early-stage and even pre-symptomatic patients and modulating one's lifestyle in light of genetic risk. However ethical considerations around data privacy, algorithmic bias, and informed consent for Sustained therapeutic interventions over a lifetime should guide, not lag, the transformation. With the drive toward preventive rather than delayed care, precision medicine represents a revolutionary paradigm shift in health care, and a possibility to convert NDDs from devastatingly fatal diagnoses to easily managed chronic diseases and render equitable access to innovations possible for the masses. Success will require consistent investment in translational studies, interdisciplinary training, and global regulatory harmonization to translate the promise of precision medicine into tangible improvements in the quality of life for the millions of individuals afflicted with neurodegenerative disorders.
