Changes for page Neurodiagnoses
Last modified by manuelmenendez on 2025/03/03 22:46
From version 20.1
edited by manuelmenendez
on 2025/01/28 00:03
on 2025/01/28 00:03
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To version 4.1
edited by manuelmenendez
on 2025/01/27 22:53
on 2025/01/27 22:53
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There is no comment for this version
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... ... @@ -2,10 +2,9 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= //Anew tridimensionaldiagnosticframework forneurodegenerativediseases//=5 += My Collab's Extended Title = 6 6 7 -This project is focused on developing a novel nosological and diagnostic framework for neurodegenerative diseases by using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies. 8 -We aim to create a structured, interpretable, and scalable diagnostic tool. 7 +My collab's subtitle 9 9 ))) 10 10 ))) 11 11 ... ... @@ -13,75 +13,18 @@ 13 13 ((( 14 14 (% class="col-xs-12 col-sm-8" %) 15 15 ((( 16 -= What is this about and whatcan I find here? =15 += What can I find here? = 17 17 18 -== **Overview** == 17 +* Notice how the table of contents on the right 18 +* is automatically updated 19 +* to hold this page's headers 19 19 20 - The//Tridimensional Diagnostic Framework// redefineshowneurodegenerative diseases(NDD)areclassifiedby focusing on:21 += Who has access? = 21 21 22 -* **Axis 1**: Etiology (genetic or other causes of diseases). 23 -* **Axis 2**: Molecular Markers (biomarkers). 24 -* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system). 25 - 26 - 27 -[[Neurodegenerative diseases can be studied and classified in a tridimensional scheme with three axes: anatomic–clinical, molecular, and etiologic. CSF, cerebrospinal fluid; FDG, fluorodeoxyglucose; MRI, magnetic resonance imaging; PET, positron emission tomography.>>image:tridimensional.png||alt="tridimensional view of neurodegenerative diseases"]] 28 - 29 - 30 -This methodology enables: 31 - 32 -* Greater precision in diagnosis. 33 -* Integration of incomplete datasets using AI-driven probabilistic modeling. 34 -* Stratification of patients for personalized treatment. 35 - 36 -== **Diagnostic Axes** == 37 - 38 -* ((( 39 -**Axis 1: Etiology** 40 - 41 -* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers. 42 -* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression. 43 -* //Tests//: Genetic testing, lifestyle and cardiovascular screening. 23 +Describe the audience of this collab. 44 44 ))) 45 -* ((( 46 -**Axis 2: Molecular Markers** 47 47 48 -* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression. 49 -* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology. 50 -* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET). 51 -))) 52 -* ((( 53 -**Axis 3: Neuroanatomoclinical** 54 54 55 -* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments. 56 -* //Examples//: Hippocampal atrophy correlating with memory deficits. 57 -* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations. 58 -))) 59 - 60 -== **Applications** == 61 - 62 -This system enhances: 63 - 64 -* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials. 65 -* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking. 66 - 67 -== Who has access? == 68 - 69 -We welcome contributions from the global community. Let’s build the future of neurological diagnostics together! 70 - 71 -== How to Contribute == 72 - 73 -* Access the `/docs` folder for guidelines. 74 -* Use `/code` for the latest AI pipelines. 75 -* Share feedback and ideas in the wiki discussion pages. 76 - 77 -== Key Objectives == 78 - 79 -* Develop interpretable AI models for diagnosis and progression tracking. 80 -* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources. 81 -* Foster collaboration among neuroscientists, AI researchers, and clinicians. 82 -))) 83 - 84 - 85 85 (% class="col-xs-12 col-sm-4" %) 86 86 ((( 87 87 {{box title="**Contents**"}} ... ... @@ -88,11 +88,6 @@ 88 88 {{toc/}} 89 89 {{/box}} 90 90 91 -== Main contents == 92 - 93 -* `/docs`: Documentation and contribution guidelines. 94 -* `/code`: Machine learning pipelines and scripts. 95 -* `/data`: Sample datasets for testing. 96 -* `/outputs`: Generated models, visualizations, and reports. 33 + 97 97 ))) 98 98 )))
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