Multiscale brain modeling: bridging microscopic and macroscopic brain dynamics for clinical and technological applications

Frontiers in Cellular Neuroscience, Journal Year: 2025, Volume and Issue: 19

Published: Feb. 19, 2025

The brain's complex organization spans from molecular-level processes within neurons to large-scale networks, making it essential understand this multiscale structure uncover brain functions and address neurological disorders. Multiscale modeling has emerged as a transformative approach, integrating computational models, advanced imaging, big data bridge these levels of organization. This review explores the challenges opportunities in linking microscopic phenomena macroscopic functions, emphasizing methodologies driving progress field. It also highlights clinical potential including their role advancing artificial intelligence (AI) applications improving healthcare technologies. By examining current research proposing future directions for interdisciplinary collaboration, work demonstrates how can revolutionize both scientific understanding practice.

Language: Английский

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Integrating Wearable Sensor Signal Processing with Unsupervised Learning Methods for Tremor Classification in Parkinson’s Disease

Bioengineering, Journal Year: 2025, Volume and Issue: 12(1), P. 37 - 37

Published: Jan. 6, 2025

Tremor is one of the most common symptoms Parkinson's disease (PD), assessed using clinician-assigned clinical scales, which can be subjective and prone to variability. This study evaluates potential unsupervised learning for classification assessment tremor severity from wearable sensor data. We analyzed 25 resting signals 24 participants (13 PD patients 11 controls), focusing on motion intensities derived accelerometer recordings. The k-means clustering algorithm was employed, achieving a accuracy 76% versus non-tremor states. However, performance decreased multiclass (57.1%) binary severe mild (71.4%), highlighting challenges in detecting subtle intensity variations. findings underscore utility enabling scalable, objective analysis. Integration such models into systems could improve continuous monitoring, enhance rehabilitation strategies, support standardized assessments. Future work should explore advanced algorithms, enriched feature sets, larger datasets robustness generalizability.

Language: Английский

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A comprehensive review of neurotransmitter modulation via artificial intelligence: A new frontier in personalized neurobiochemistry

Computers in Biology and Medicine, Journal Year: 2025, Volume and Issue: 189, P. 109984 - 109984

Published: March 14, 2025

Language: Английский

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Cardiovascular risk patterns through AI-enhanced clustering of longitudinal health data

Journal of Diabetes & Metabolic Disorders, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 15, 2025

Language: Английский

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Profiling of Protein-Coding Missense Mutations in Mendelian Rare Diseases: Clues from Structural Bioinformatics

International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(9), P. 4072 - 4072

Published: April 25, 2025

The growing availability of protein structural data from experimental methods and accurate predictive models provides the opportunity to investigate molecular origins rare diseases (RDs) reviewed in Orpha.net database. In this study, we analyzed topology 5728 missense mutation sites involved Mendelian RDs (MRDs), forming basis our bioinformatics investigation. Each site was characterized by side-chain position within overall 3D structure orientation. Atom depth quantitation, achieved using SADIC v2.0, allowed classification all listed Particular attention given mutations where smaller amino acids replaced bulky, outward-oriented residues outer layers. Our findings reveal that features could lead formation void spaces region are very frequent. Notably, identified 722 cases MRD-associated generate new surface pockets with potential accommodate pharmaceutical ligands. Molecular dynamics (MD) simulations further supported prevalence cryptic pocket a subset drug-binding candidates, underscoring their for structure-based drug discovery RDs.

Language: Английский

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Recent advances and factors affecting the adsorption of nano/microplastics by magnetic biochar

Chemosphere, Journal Year: 2024, Volume and Issue: 370, P. 143936 - 143936

Published: Dec. 14, 2024

Language: Английский

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