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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.
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17	17
18	18	== **Overview** ==
19	19
20		-The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDDs) are classified by focusing on:
	20	+The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
21	21
22		-* **Axis 1**: Etiology (genetic/sporadic and environmental factors).
23		-* **Axis 2**: Molecular Markers (biomarkers and proteinopathies).
	22	+* **Axis 1**: Etiology (genetic or other causes of diseases).
	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	+[[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"]]
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	28	+
28	28	This methodology enables:
29	29
30	30	* Greater precision in diagnosis.
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31	31	* Integration of incomplete datasets using AI-driven probabilistic modeling.
32	32	* Stratification of patients for personalized treatment.
33	33
34		-== **Diagnostic Axes** ==
	35	+== **The case of neurodegenerative diseases** ==
35	35
	37	+There have been described these 3 diagnostic axes:
	38	+
36	36	* (((
37	37	**Axis 1: Etiology**
38	38
39	39	* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
40	40	* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
41		-* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
	44	+* //Tests//: Genetic testing, lifestyle, and cardiovascular screening.
42	42	)))
43	43	* (((
44	44	**Axis 2: Molecular Markers**
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92	92	* `/code`: Machine learning pipelines and scripts.
93	93	* `/data`: Sample datasets for testing.
94	94	* `/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]]
95	95	)))
96	96	)))