Reduction of Biosensor False Responses and Time Delay Using Dynamic Response and Theory-Guided Machine Learning

Zhang, Junru; Srivatsa, Purna; Ahmadzai, Fazel Haq; Liu, Yang; Song, Xuerui; Karpatne, Anuj; Kong, Zhenyu; Johnson, Blake N.

doi:10.1021/acssensors.3c01258

Cited by 2 publications

(1 citation statement)

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“…It is necessary to understand the exact pathways for each disorder, and multiplex detection is required, not only detecting a single marker for diagnosis [ 318 , 319 ]. Similarly, machine learning and artificial intelligence have been applied to this field to increase the precision of detection [ 320 , 321 ]. Since computational methods can make work fast and efficient, it would be great for the early detection of CNS disease for large numbers of people.…”

Section: Conclusion and Future Perspectivesmentioning

confidence: 99%

Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions

Choi,

Chen,

Goldston

et al. 2024

Nano Convergence

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Central Nervous System (CNS) disorders represent a profound public health challenge that affects millions of people around the world. Diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), and traumatic brain injury (TBI) exemplify the complexities and diversities that complicate their early detection and the development of effective treatments. Amid these challenges, the emergence of nanotechnology and extracellular vesicles (EVs) signals a new dawn for treating and diagnosing CNS ailments. EVs are cellularly derived lipid bilayer nanosized particles that are pivotal in intercellular communication within the CNS and have the potential to revolutionize targeted therapeutic delivery and the identification of novel biomarkers. Integrating EVs with nanotechnology amplifies their diagnostic and therapeutic capabilities, opening new avenues for managing CNS diseases. This review focuses on examining the fascinating interplay between EVs and nanotechnology in CNS theranostics. Through highlighting the remarkable advancements and unique methodologies, we aim to offer valuable perspectives on how these approaches can bring about a revolutionary change in disease management. The objective is to harness the distinctive attributes of EVs and nanotechnology to forge personalized, efficient interventions for CNS disorders, thereby providing a beacon of hope for affected individuals. In short, the confluence of EVs and nanotechnology heralds a promising frontier for targeted and impactful treatments against CNS diseases, which continue to pose significant public health challenges. By focusing on personalized and powerful diagnostic and therapeutic methods, we might improve the quality of patients.

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