Changes for page Neurodiagnoses
Last modified by manuelmenendez on 2025/03/03 22:46
From version 25.1
edited by manuelmenendez
on 2025/01/29 18:47
on 2025/01/29 18:47
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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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... ... @@ -2,9 +2,9 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= //A new tridimensional diagnostic framework for CNSdiseases// =5 += //A new tridimensional diagnostic framework for neurodegenerative diseases// = 6 6 7 -This project is focused on developing a novel nosological and diagnostic framework for CNSdiseases by using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies.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. 9 9 ))) 10 10 ))) ... ... @@ -17,13 +17,15 @@ 17 17 18 18 == **Overview** == 19 19 20 -The //Tridimensional Diagnostic Framework// redefines CNSdiseasescanbe classifiedand diagnosedby focusing on:20 +The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDD) are classified by focusing on: 21 21 22 22 * **Axis 1**: Etiology (genetic or other causes of diseases). 23 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"]] 26 26 28 + 27 27 This methodology enables: 28 28 29 29 * Greater precision in diagnosis. ... ... @@ -30,18 +30,14 @@ 30 30 * Integration of incomplete datasets using AI-driven probabilistic modeling. 31 31 * Stratification of patients for personalized treatment. 32 32 33 -== ** The case of neurodegenerativediseases** ==35 +== **Diagnostic Axes** == 34 34 35 -There have been described these 3 diagnostic axes: 36 - 37 -[[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"]] 38 - 39 39 * ((( 40 40 **Axis 1: Etiology** 41 41 42 42 * //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers. 43 43 * //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression. 44 -* //Tests//: Genetic testing, lifestyle ,and cardiovascular screening.42 +* //Tests//: Genetic testing, lifestyle and cardiovascular screening. 45 45 ))) 46 46 * ((( 47 47 **Axis 2: Molecular Markers** ... ... @@ -95,8 +95,5 @@ 95 95 * `/code`: Machine learning pipelines and scripts. 96 96 * `/data`: Sample datasets for testing. 97 97 * `/outputs`: Generated models, visualizations, and reports. 98 -* [[Methodology>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Methodology/]] 99 -* [[Results>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Results/]] 100 -* [[to-do-list>>to-do-list]] 101 101 ))) 102 102 )))