Talanta, Год журнала: 2024, Номер 286, С. 127483 - 127483
Опубликована: Дек. 26, 2024
Язык: Английский
Talanta, Год журнала: 2024, Номер 286, С. 127483 - 127483
Опубликована: Дек. 26, 2024
Язык: Английский
Advanced Healthcare Materials, Год журнала: 2025, Номер unknown
Опубликована: Янв. 6, 2025
Abstract Neurodegenerative diseases, particularly Alzheimer's disease and Parkinson's disease, present formidable challenges in modern medicine due to their complex pathologies the absence of curative treatments. Despite advances symptomatic management, early diagnosis remains essential for mitigating progression improving patient outcomes. Traditional diagnostic methods, such as MRI, PET, cerebrospinal fluid biomarker analysis, are often inadequate detection these diseases. Emerging porous materials, including metal–organic frameworks (MOFs), covalent–organic (COFs), MXene, zeolites, silicon, offer promising new approaches neurodegenerative These characterized by highly tunable physicochemical properties, have potential capture concentrate disease‐specific biomarkers amyloid‐beta (Aβ), tau protein, alpha‐synuclein (α‐Syn). The integration materials into advanced biosensors real‐time holds promise revolutionizing neurodiagnostic, enabling non‐invasive, sensitive, specific platforms. Furthermore, incorporation artificial intelligence (AI) machine learning (ML) techniques analysis sensor data enhances accuracy allows more efficient interpretation profiles. AI ML can optimize feature selection, improve pattern recognition, facilitate prediction progression, making them indispensable tools personalized medicine. This review explores diagnostics, emphasizing design, functionality, synergistic role advancing clinical applications.
Язык: Английский
Процитировано
1TrAC Trends in Analytical Chemistry, Год журнала: 2024, Номер unknown, С. 118062 - 118062
Опубликована: Ноя. 1, 2024
Язык: Английский
Процитировано
1Talanta, Год журнала: 2024, Номер 286, С. 127483 - 127483
Опубликована: Дек. 26, 2024
Язык: Английский
Процитировано
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