Changes for page Neurodiagnoses

Last modified by manuelmenendez on 2025/03/03 22:46

From version 16.1
edited by manuelmenendez
on 2025/01/28 00:00
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To version 25.1
edited by manuelmenendez
on 2025/01/29 18:47
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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= //A new tridimensional diagnostic framework for CNS conditions// =
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 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 CNS 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  )))
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17 17  
18 18  == **Overview** ==
19 19  
20 -The //Tridimensional Diagnostic Framework// redefines how CNS conditions are classified by focusing on:
20 +The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed 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"]]
27 27  
28 -
29 29  This methodology enables:
30 30  
31 31  * Greater precision in diagnosis.
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32 32  * Integration of incomplete datasets using AI-driven probabilistic modeling.
33 33  * Stratification of patients for personalized treatment.
34 34  
35 -== **Diagnostic Axes** ==
33 +== **The case of neurodegenerative diseases** ==
36 36  
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 +
37 37  * (((
38 38  **Axis 1: Etiology**
39 39  
40 40  * //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
41 41  * //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
42 -* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
44 +* //Tests//: Genetic testing, lifestyle, and cardiovascular screening.
43 43  )))
44 44  * (((
45 45  **Axis 2: Molecular Markers**
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93 93  * `/code`: Machine learning pipelines and scripts.
94 94  * `/data`: Sample datasets for testing.
95 95  * `/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]]
96 96  )))
97 97  )))