
Nano Materials Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Nano Materials Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Advanced Healthcare Materials, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 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.
Language: Английский
Citations
2Industrial & Engineering Chemistry Research, Journal Year: 2025, Volume and Issue: 64(4), P. 1907 - 1932
Published: Jan. 14, 2025
Metal–organic frameworks (MOFs) have been shown to be great alternatives traditional porous materials in various chemical applications, and they very widely studied for biomedical applications the past decade specifically drug storage. After our review published 2011 [Keskin Kızılel, Ind. Eng. Chem. Res. 2011, 50 (4), 1799–1812, 10.1021/ie101312k], we witnessed a fast growth not only number variety of MOFs but also their usage across broad spectrum fields. With recent integration molecular modeling data science approaches experimental studies, significantly accelerated positioning them as pivotal components regenerative medicine, medical imaging, diagnostics. In this review, visited diverse considering computational efforts on storage delivery, bioimaging, biosensing. We focused underlying mechanisms governing interactions between biological systems discussed both opportunities challenges field highlight potential advanced therapeutics cancer neurological diseases.
Language: Английский
Citations
2Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 534, P. 216574 - 216574
Published: March 4, 2025
Language: Английский
Citations
1The Analyst, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 14, 2024
Schematic diagram of the strategies used for LTP ECL.
Language: Английский
Citations
0Nano Materials Science, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 1, 2024
Language: Английский
Citations
0