Changes for page Neurodiagnoses

Last modified by manuelmenendez on 2025/03/03 22:46
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edited by manuelmenendez
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To version 23.1
edited by manuelmenendez
on 2025/01/29 18:46
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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.
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9 9  )))
10 10  
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15 -= What can I find here? =
16 += What is this about and what can I find here? =
16 16  
17 -* `/docs`: Documentation and contribution guidelines.
18 -* `/code`: Machine learning pipelines and scripts.
19 -* `/data`: Sample datasets for testing. - `/outputs`: Generated models, visualizations, and reports.
18 +== **Overview** ==
20 20  
21 -= Who has access? =
20 +The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
22 22  
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 +[[For instance, 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 +
29 +This methodology enables:
30 +
31 +* Greater precision in diagnosis.
32 +* Integration of incomplete datasets using AI-driven probabilistic modeling.
33 +* Stratification of patients for personalized treatment.
34 +
35 +== **The case of neurodegenerative diseases** ==
36 +
37 +There have been described these 3 diagnostic axes:
38 +
39 +* (((
40 +**Axis 1: Etiology**
41 +
42 +* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
43 +* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
44 +* //Tests//: Genetic testing, lifestyle, and cardiovascular screening.
45 +)))
46 +* (((
47 +**Axis 2: Molecular Markers**
48 +
49 +* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression.
50 +* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology.
51 +* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET).
52 +)))
53 +* (((
54 +**Axis 3: Neuroanatomoclinical**
55 +
56 +* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments.
57 +* //Examples//: Hippocampal atrophy correlating with memory deficits.
58 +* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations.
59 +)))
60 +
61 +== **Applications** ==
62 +
63 +This system enhances:
64 +
65 +* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials.
66 +* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
67 +
68 +== Who has access? ==
69 +
23 23  We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
24 24  
25 -== How to Contribute: ==
72 +== How to Contribute ==
26 26  
27 27  * Access the `/docs` folder for guidelines.
28 28  * Use `/code` for the latest AI pipelines.
29 29  * Share feedback and ideas in the wiki discussion pages.
77 +
78 +== Key Objectives ==
79 +
80 +* Develop interpretable AI models for diagnosis and progression tracking.
81 +* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
82 +* Foster collaboration among neuroscientists, AI researchers, and clinicians.
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31 31  
32 32  
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36 36  {{toc/}}
37 37  {{/box}}
38 38  
39 -== Key Objectives: ==
92 +== Main contents ==
40 40  
41 -* Develop interpretable AI models for diagnosis and progression tracking.
42 -* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
43 -* Foster collaboration among neuroscientists, AI researchers, and clinicians.
44 -
94 +* `/docs`: Documentation and contribution guidelines.
95 +* `/code`: Machine learning pipelines and scripts.
96 +* `/data`: Sample datasets for testing.
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]]
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