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Titlebook: GeNeDis 2022; Computational Biolog Panagiotis Vlamos Conference proceedings 2023 The Editor(s) (if applicable) and The Author(s), under exc

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发表于 2025-3-21 18:04:37 | 显示全部楼层 |阅读模式
书目名称GeNeDis 2022
副标题Computational Biolog
编辑Panagiotis Vlamos
视频video
概述Proceedings of the 5th World Congress on Geriatrics and Neurodegenerative Disease Research.Covers the latest research on healthy aging and mental wellness.This volume focuses on computational biology
丛书名称Advances in Experimental Medicine and Biology
图书封面Titlebook: GeNeDis 2022; Computational Biolog Panagiotis Vlamos Conference proceedings 2023 The Editor(s) (if applicable) and The Author(s), under exc
描述The 5.th. World Congress on Genetics, Geriatrics and Neurodegenerative Diseases Research (GeNeDis 2022) focuses on the latest major challenges in scientific research, new drug targets, the development of novel biomarkers, new imaging techniques, novel protocols for early diagnosis of neurodegenerative diseases, and several other scientific advances, with the aim of better, safer, and healthier aging. Computational methodologies for implementation on the discovery of biomarkers for neurodegenerative diseases are extensively discussed. This volume focuses on the sessions from the conference regarding computational biology and bioinformatics.
出版日期Conference proceedings 2023
关键词genome; eougebinucs; disease biomarkers; nanotechnology; quantum membrane automata; training psychiatrist
版次1
doihttps://doi.org/10.1007/978-3-031-31982-2
isbn_softcover978-3-031-31984-6
isbn_ebook978-3-031-31982-2Series ISSN 0065-2598 Series E-ISSN 2214-8019
issn_series 0065-2598
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Spiking Neural Networks and Mathematical Models, four mathematical, single-compartment models: Hodgkin-Huxley, Izhikevich, Leaky Integrate, and Fire and Morris-Lecar, and discusses comparison among them in terms of their biological plausibility, computational complexity, and applications, according to modern literature.
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On Modelling Electrical Conductivity of the Cerebral White Matter, more accurate estimation of the anisotropic conductivity of the white matter. Diffusion matrix imaging is a powerful noninvasive method for characterizing neuronal tissue in the human brain. The ultimate goal is to study and draw appropriate conclusions, regarding the molecule diffusion in the brai
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DRDs and Brain-Derived Neurotrophic Factor Share a Common Therapeutic Ground: A Novel Bioinformaticwell as analytical methods such as systemic data and text mining, semantic analysis, and scoring functions, we extracted the most relevant single nucleotide polymorphisms (SNPs) and genes connected to these disorders. All the extracted SNPs were filtered, annotated, classified, and evaluated in orde
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A Retrospective Analysis to Investigate Contact Sensitization in Greek Population Using Classic anderies of allergens; information was also collected for ICDRG evaluation, an extended MOAHLFA index and patient-reported outcomes (daily routine questionnaire). The chi-square test for independence and Spearman’s rank were used to evaluate the association and correlation, respectively, between patien
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A Mobile Application for Supporting and Monitoring Elderly Population to Perform the Interventions ions that provide guiding tools and suggestions based on the user’s status. The outcome of this paper is the development of a mobile application, to implement and monitor the interventions proposed by the FINGER Study. Based on the user’s profile, it offers the ability to evaluate the likelihood of
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Application of Graphs in a One Health Framework,eering field, in order to understand a whole system and what constitute the most crucial aspects of a One Health issue in ecosystem level. Here P-graphs are focused alongside their combinatorial algorithms, implemented in R, and their application researched in an effort to extract information and pl
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Cognitive Neurorehabilitation in Epilepsy Patients via Virtual Reality Environments: Systematic Rev
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