Changes for page Neurodiagnoses
Last modified by manuelmenendez on 2025/03/03 22:46
From version 5.1
edited by manuelmenendez
on 2025/01/27 23:04
on 2025/01/27 23:04
Change comment:
There is no comment for this version
To version 33.1
edited by manuelmenendez
on 2025/02/01 13:54
on 2025/02/01 13:54
Change comment:
There is no comment for this version
Summary
-
Page properties (1 modified, 0 added, 0 removed)
-
Attachments (0 modified, 1 added, 0 removed)
-
Objects (1 modified, 2 added, 0 removed)
Details
- Page properties
-
- Content
-
... ... @@ -2,9 +2,10 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= Neurodiagnoses =5 += //A new tridimensional diagnostic framework for CNS diseases// = 6 6 7 -This project is focused on developing a novel nosological and diagnostic framework for neurological diseases. Using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies, we aim to create a structured, interpretable, and scalable diagnostic tool. 7 +This project is focused on developing a novel nosological and diagnostic framework for CNS 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. 8 8 ))) 9 9 ))) 10 10 ... ... @@ -12,26 +12,101 @@ 12 12 ((( 13 13 (% class="col-xs-12 col-sm-8" %) 14 14 ((( 15 -= What can I find here? = 16 += What is this about and what can I find here? = 16 16 17 -= =Who has access?==18 += **Overview** = 18 18 19 - We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!20 +T 20 20 21 - ==Howto Contribute:==22 +The classification and diagnosis of **central nervous system (CNS) diseases** have long been constrained by **traditional phenotype-based approaches**, which often fail to capture the **complex pathophysiological mechanisms, molecular biomarkers, and neuroanatomical changes** that drive disease progression. **Neurodegenerative and psychiatric disorders**, for example, exhibit significant **clinical overlap, co-pathology, and heterogeneity**, making current diagnostic models insufficient. 22 22 24 +This project proposes a **new diagnostic framework**—one that **shifts from symptom-based classifications** to an **etiology-driven, tridimensional system**. By integrating **genetics, proteomics, neuroimaging, computational modeling, and AI-powered annotations**, this approach aims to provide a **more precise, scalable, and biologically grounded method for diagnosing and managing CNS diseases**. 25 + 26 +The **AI-powered annotation system** plays a critical role by **structuring, interpreting, and tracking multi-modal data**, ensuring **real-time disease progression analysis, clinician decision support, and personalized treatment pathways**. 27 + 28 +=== **Project Aim** === 29 + 30 +The project aims to develop a **tridimensional diagnostic framework** with an **AI-powered annotation system**, integrating **etiology, molecular biomarkers, and neuroanatomoclinical correlations** for **precise, standardized, and scalable CNS disease diagnostics**. 31 + 32 +The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on: 33 + 34 +* **Axis 1**: Etiology (genetic or other causes of diseases). 35 +* **Axis 2**: Molecular Markers (biomarkers). 36 +* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system). 37 + 38 +This methodology enables: 39 + 40 +* Greater precision in diagnosis. 41 +* Integration of incomplete datasets using AI-driven probabilistic modeling. 42 +* Stratification of patients for personalized treatment. 43 + 44 +== **The Role of AI-Powered Annotation** == 45 + 46 +To enhance **standardization, interpretability, and clinical application**, the framework integrates **an AI-powered annotation system**, which: 47 + 48 +* **Assigns structured metadata tags** to diagnostic features. 49 +* **Provides real-time contextual explanations** for AI-based classifications. 50 +* **Tracks longitudinal disease progression** using timestamped AI annotations. 51 +* **Improves AI model transparency** through interpretability tools (e.g., SHAP analysis). 52 +* **Facilitates decision-making for clinicians** by linking annotations to standardized biomedical ontologies (SNOMED, HPO). 53 + 54 +== **The case of neurodegenerative diseases** == 55 + 56 +There have been described these 3 diagnostic axes: 57 + 58 +[[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"]] 59 + 60 +* ((( 61 +**Axis 1: Etiology** 62 + 63 +* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers. 64 +* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression. 65 +* //Tests//: Genetic testing, lifestyle, and cardiovascular screening. 66 +))) 67 +* ((( 68 +**Axis 2: Molecular Markers** 69 + 70 +* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression. 71 +* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology. 72 +* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET). 73 +))) 74 +* ((( 75 +**Axis 3: Neuroanatomoclinical** 76 + 77 +* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments. 78 +* //Examples//: Hippocampal atrophy correlating with memory deficits. 79 +* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations. 80 +))) 81 + 82 +== **Applications** == 83 + 84 +This system enhances: 85 + 86 +* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials. 87 +* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking. 88 + 89 +== How to Contribute == 90 + 23 23 * Access the `/docs` folder for guidelines. 24 24 * Use `/code` for the latest AI pipelines. 25 25 * Share feedback and ideas in the wiki discussion pages. 26 26 27 -== Key Objectives :==95 +== Key Objectives == 28 28 29 29 * Develop interpretable AI models for diagnosis and progression tracking. 30 30 * Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources. 31 31 * Foster collaboration among neuroscientists, AI researchers, and clinicians. 100 + 101 +== Who has access? == 102 + 103 +We welcome contributions from the global community. Let’s build the future of neurological diagnostics together! 32 32 ))) 33 33 34 34 107 + 108 + 109 + 110 + 35 35 (% class="col-xs-12 col-sm-4" %) 36 36 ((( 37 37 {{box title="**Contents**"}} ... ... @@ -38,11 +38,14 @@ 38 38 {{toc/}} 39 39 {{/box}} 40 40 41 -== Main contents :==117 +== Main contents == 42 42 43 43 * `/docs`: Documentation and contribution guidelines. 44 44 * `/code`: Machine learning pipelines and scripts. 45 45 * `/data`: Sample datasets for testing. 46 46 * `/outputs`: Generated models, visualizations, and reports. 123 +* [[Methodology>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Methodology/]] 124 +* [[Results>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Results/]] 125 +* [[to-do-list>>to-do-list]] 47 47 ))) 48 48 )))
- tridimensional.png
-
- Author
-
... ... @@ -1,0 +1,1 @@ 1 +XWiki.manuelmenendez - Size
-
... ... @@ -1,0 +1,1 @@ 1 +149.8 KB - Content
- Collaboratory.Apps.Collab.Code.CollabClass[0]
-
- Public
-
... ... @@ -1,1 +1,1 @@ 1 - No1 +Yes
- XWiki.XWikiRights[3]
-
- Allow/Deny
-
... ... @@ -1,0 +1,1 @@ 1 +Allow - Levels
-
... ... @@ -1,0 +1,1 @@ 1 +view - Users
-
... ... @@ -1,0 +1,1 @@ 1 +XWiki.XWikiGuest
- XWiki.XWikiRights[4]
-
- Allow/Deny
-
... ... @@ -1,0 +1,1 @@ 1 +Allow - Groups
-
... ... @@ -1,0 +1,1 @@ 1 +XWiki.XWikiAllGroup - Levels
-
... ... @@ -1,0 +1,1 @@ 1 +view