Changes for page Neurodiagnoses
Last modified by manuelmenendez on 2025/03/03 22:46
From version 7.1
edited by manuelmenendez
on 2025/01/27 23:21
on 2025/01/27 23:21
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To version 18.1
edited by manuelmenendez
on 2025/01/28 00:02
on 2025/01/28 00:02
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... ... @@ -2,7 +2,7 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= //A new tridimensional diagnostic framework for CNS conditions// =5 += //A new tridimensional diagnostic framework for neurodegenerative diseases// = 6 6 7 7 This project is focused on developing a novel nosological and diagnostic framework for neurological diseases by using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies. 8 8 We aim to create a structured, interpretable, and scalable diagnostic tool. ... ... @@ -15,14 +15,17 @@ 15 15 ((( 16 16 = What is this about and what can I find here? = 17 17 18 -== ==**Overview** ====18 +== **Overview** == 19 19 20 -The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDD s) are classified by focusing on:20 +The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDD) are classified by focusing on: 21 21 22 -* **Axis 1**: Etiology (genetic /sporadicand environmentalfactors).23 -* **Axis 2**: Molecular Markers (biomarkers and proteinopathies).22 +* **Axis 1**: Etiology (genetic or other causes of diseases). 23 +* **Axis 2**: Molecular Markers (biomarkers). 24 24 * **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system). 25 25 26 +[[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"]] 27 + 28 + 26 26 This methodology enables: 27 27 28 28 * Greater precision in diagnosis. ... ... @@ -29,7 +29,7 @@ 29 29 * Integration of incomplete datasets using AI-driven probabilistic modeling. 30 30 * Stratification of patients for personalized treatment. 31 31 32 -== ==**Diagnostic Axes** ====35 +== **Diagnostic Axes** == 33 33 34 34 * ((( 35 35 **Axis 1: Etiology** ... ... @@ -53,28 +53,11 @@ 53 53 * //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations. 54 54 ))) 55 55 56 -== ==**Case Studies** ====59 +== **Applications** == 57 57 58 -1. ((( 59 -**Sporadic Alzheimer’s Disease**: 60 - 61 -* Axis 1: Sporadic (ApoE4, poor sleep habits). 62 -* Axis 2: Amyloid-beta plaques, elevated NFL. 63 -* Axis 3: Right hippocampus atrophy (visual memory loss). 64 -))) 65 -1. ((( 66 -**Genetic Parkinson’s Disease**: 67 - 68 -* Axis 1: Genetic (LRRK2 mutation). 69 -* Axis 2: Alpha-synuclein aggregation. 70 -* Axis 3: Substantia nigra degeneration (motor dysfunction). 71 -))) 72 - 73 -==== **Applications** ==== 74 - 75 75 This system enhances: 76 76 77 -* **Research**: By stratifying patients, itreduces cohort heterogeneity in clinical trials.63 +* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials. 78 78 * **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking. 79 79 80 80 == Who has access? == ... ... @@ -81,13 +81,13 @@ 81 81 82 82 We welcome contributions from the global community. Let’s build the future of neurological diagnostics together! 83 83 84 -== How to Contribute :==70 +== How to Contribute == 85 85 86 86 * Access the `/docs` folder for guidelines. 87 87 * Use `/code` for the latest AI pipelines. 88 88 * Share feedback and ideas in the wiki discussion pages. 89 89 90 -== Key Objectives :==76 +== Key Objectives == 91 91 92 92 * Develop interpretable AI models for diagnosis and progression tracking. 93 93 * Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources. ... ... @@ -101,7 +101,7 @@ 101 101 {{toc/}} 102 102 {{/box}} 103 103 104 -== Main contents :==90 +== Main contents == 105 105 106 106 * `/docs`: Documentation and contribution guidelines. 107 107 * `/code`: Machine learning pipelines and scripts.
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