ReviewCurrent aging science2026
Revolutionizing Neurodegenerative Disease Management: The Synergy of AI and Pharmacy.
Review in Current aging science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurodegenerative diseases, including Alzheimer's, Parkinson's, and amyotrophic lateral sclerosis (ALS), represent major healthcare challenges worldwide. Despite advances in diagnosis and treatment, these conditions remain incurable, and there is a need for more effective management strategies. The integration of artificial intelligence (AI) in healthcare has emerged as a promising solution, offering new approaches to diagnosis, personalized treatment, and patient care. This paper explores the potential of AI to revolutionize the management of neurodegenerative diseases, with a focus on its synergistic role in pharmacy. By leveraging AI in drug discovery, personalized treatment plans, and clinical decision-making, AI can enhance therapeutic outcomes and improve patient quality of life. The study reviews the current landscape of AI applications in neurodegenerative disease management, with a focus on pharmacy-related interventions. The review includes AI-driven approaches in genomics, biomarkers, drug repurposing, and clinical trials. It also examines AI's role in optimizing pharmaceutical care, improving medication adherence, and tailoring treatments based on individual genetic profiles. AI has demonstrated its capability to analyze vast datasets, from genetic information to clinical records, to identify novel drug targets and predict patient responses to specific therapies. The use of AI in precision medicine has enabled more accurate diagnosis and has facilitated the development of personalized treatments for neurodegenerative diseases. Additionally, AI tools are enhancing medication management by providing personalized therapy adjustments and improving adherence. AI offers transformative potential for the future of neurodegenerative disease management. Its integration into pharmacy practice promises more effective, individualized treatments, accelerating drug discovery, and optimizing patient care. As AI technologies continue to advance, their role in managing complex neurological disorders will become increasingly vital.
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Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.