ReviewMolecular diagnosis & therapy2026
Smart Nanomedicines for Neurodegenerative Diseases: Empowering New Therapies with Molecular Imaging and Artificial Intelligence.
Review in Molecular diagnosis & therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Thermostability Engineering in Therapeutic Antioxidant Enzymes: From Molecular Fundamentals to Oxidative Stress Applications.International journal of molecular sciences · 2026Review
- Dimensionally Engineered Nanotherapeutics for Pulpitis and Periodontitis: From Structural Design to Artificial Intelligence-Enabled Precision Therapy.International journal of nanomedicine · 2026Review
- Smart nanobiocatalysts for waste-to-biofuel conversion: integrating Nano-Bio interfaces and AI-driven design.Frontiers in bioengineering and biotechnology · 2026Review
- Recent advances in potential drug nanocarriers for CNS disorders: a review.Biomedical engineering online · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neurodegenerative diseases (NDDs) remain among the most challenging disorders to treat, owing to their multifactorial pathology, limited drug delivery across the blood-brain barrier, and lack of effective disease-modifying therapies. Smart nanomedicines are emerging as powerful tools to overcome these challenges by enabling targeted delivery, controlled release, and enhanced bioavailability of therapeutics. In parallel, advances in molecular imaging, combined with machine learning (ML) and artificial intelligence (AI), are transforming the design, validation, and optimization of nanomedicines. This article integrates the rapidly evolving fields of nanomedicine and AI/ML-driven imaging to evaluate their synergistic potential toward NDD therapy. The capabilities of AI-aided imaging for mapping nanomedicine biodistribution, predicting therapeutic outcomes, guiding nanoparticle design, and ensuring quality control at preclinical and clinical stages in NDDs are discussed. This synergistic approach opens new avenues for precision medicine, enabling personalized and adaptive treatment strategies for Alzheimer's, Parkinson's, and other NDDs by linking smart nanocarriers with intelligent imaging analytics. Hence, this article presents a roadmap for translating AI-guided nanomedicine-integrated imaging platforms into clinically viable solutions, marking a paradigm shift in the diagnosis and treatment of NDDs.
Indexed as
Identifiers
41066060What OpenQuestion holds
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.