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5		-= //A new tridimensional diagnostic framework for CNS diseases// =
	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 CNS 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 neurodegenerative 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.
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17	17
18	18	== **Overview** ==
19	19
20		-The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by 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
27		-[[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"]]
28	28
29		-
30	30	This methodology enables:
31	31
32	32	* Greater precision in diagnosis.
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33	33	* Integration of incomplete datasets using AI-driven probabilistic modeling.
34	34	* Stratification of patients for personalized treatment.
35	35
36		-== **The case of neurodegenerative diseases** ==
	35	+== **Diagnostic Axes** ==
37	37
38		-There have been described these 3 diagnostic axes:
39		-
40	40	* (((
41	41	**Axis 1: Etiology**
42	42
43	43	* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
44	44	* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
45		-* //Tests//: Genetic testing, lifestyle, and cardiovascular screening.
	42	+* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
46	46	)))
47	47	* (((
48	48	**Axis 2: Molecular Markers**
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96	96	* `/code`: Machine learning pipelines and scripts.
97	97	* `/data`: Sample datasets for testing.
98	98	* `/outputs`: Generated models, visualizations, and reports.
99		-* [[Methodology>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Methodology/]]
100		-* [[Results>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Results/]]
101		-* [[to-do-list>>to-do-list]]
102	102	)))
103	103	)))