ArticleJournal of neuropathology and experimental neurology2022
Advances in Deep Neuropathological Phenotyping of Alzheimer Disease: Past, Present, and Future.
Article in Journal of neuropathology and experimental neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Clinical and pathologic correlations of machine learning quantification of Aβ deposits across 3 brain regions of decedents with Alzheimer disease.Journal of neuropathology and experimental neurology · 2026Article
- Subtyping Alzheimer's disease and Parkinson's disease using longitudinal electronic health records.Nature aging · 2026Article
- Convolutional neural network-derived neurofibrillary tangle classifiers: Investigative tools to identify maturation levels and explore post-translational modifications using laser capture microdissection coupled mass spectrometry.Journal of neuropathology and experimental neurology · 2026Article
- Mitochondria as a Therapeutic Target in Neurodegeneration: Strategies for Restoring Cellular Homeostasis.Current neuropharmacology · 2026Review
- Screening and In Vivo Validation of Key Genes Involved in Myelin Damage in Alzheimer's Disease.Molecular neurobiology · 2025Article
- Review
- Digital neuropathology of neurodegenerative disorders: Foundations, research advances, and future directions.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Review
- A Neural-Glial Model of the ApoE-SORT1-FABP7 Axis Tied to Sleep Disruption and Alzheimer's Disease Pathophysiology.Biomolecules · 2025Review
- Article
- Time-Frequency Domain Analysis of Quantitative Electroencephalography as a Biomarker for Dementia.Diagnostics (Basel, Switzerland) · 2025Review
- Engagement of CD300c by a Novel Monoclonal Antibody Ameliorates Behavioral Deficits in a 5xFAD Mouse Model of Alzheimer's Disease.Biomedicines · 2025Article
- Recent Insights into the Neurobiology of Alzheimer's Disease and Advanced Treatment Strategies.Molecular neurobiology · 2025Review
- Integrating network pharmacology and experimental verification to reveal the ferroptosis-associated mechanism of Changpu-Yizhi-Wan in the treatment of Alzheimer's disease.Metabolic brain disease · 2025Article
- Improving machine learning detection of Alzheimer disease using enhanced manta ray gene selection of Alzheimer gene expression datasets.PeerJ. Computer science · 2025Article
- Scutellaria Baicalensis Georgi Stem and Leaf Flavonoids Ameliorate the Learning and Memory Impairment in Rats Induced by Okadaic Acid.Combinatorial chemistry & high throughput screening · 2025Article
- Neuropathological Heterogeneity of Dementia Due to Combined Pathology in Aged Patients: Clinicopathological Findings in the Vallecas Alzheimer's Reina Sofía Cohort.Journal of clinical medicine · 2024Article
- Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases.Acta neuropathologica communications · 2024Article
- Evaluating the performance of large language models: ChatGPT and Google Bard in generating differential diagnoses in clinicopathological conferences of neurodegenerative disorders.Brain pathology (Zurich, Switzerland) · 2024Article
- Controversial Past, Splendid Present, Unpredictable Future: A Brief Review of Alzheimer Disease History.Journal of clinical medicine · 2024Review
- HowJournal of clinical and translational science · 2024Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Alzheimer disease (AD) is a neurodegenerative disorder characterized pathologically by the presence of neurofibrillary tangles and amyloid beta (Aβ) plaques in the brain. The disease was first described in 1906 by Alois Alzheimer, and since then, there have been many advancements in technologies that have aided in unlocking the secrets of this devastating disease. Such advancements include improving microscopy and staining techniques, refining diagnostic criteria for the disease, and increased appreciation for disease heterogeneity both in neuroanatomic location of abnormalities as well as overlap with other brain diseases; for example, Lewy body disease and vascular dementia. Despite numerous advancements, there is still much to achieve as there is not a cure for AD and postmortem histological analyses is still the gold standard for appreciating AD neuropathologic changes. Recent technological advances such as in-vivo biomarkers and machine learning algorithms permit great strides in disease understanding, and pave the way for potential new therapies and precision medicine approaches. Here, we review the history of human AD neuropathology research to include the notable advancements in understanding common co-pathologies in the setting of AD, and microscopy and staining methods. We also discuss future approaches with a specific focus on deep phenotyping using machine learning.
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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.