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5		-= //A new tridimensional diagnostic framework for CNS diseases// =
	5	+= //A new tridimensional diagnostic framework for CNS conditions// =
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 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.
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16	16	= What is this about and what can I find here? =
17	17
18		-= **Overview** =
	18	+== **Overview** ==
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20		-The classification and diagnosis of central nervous system (CNS) diseases have long been constrained by traditional phenotypic approaches that fail to capture the underlying pathophysiological mechanisms, molecular biomarkers, and neuroanatomical changes that drive disease progression. As neurodegenerative and psychiatric disorders exhibit significant clinical overlap, co-pathology, and heterogeneity, a new diagnostic framework is urgently needed—one that shifts from symptom-based classifications toward an etiology-driven, tridimensional system integrating genetics, proteomics, neuroimaging, and computational modeling. By leveraging AI, multi-modal biomarkers, and precision medicine, this framework aims to provide a more objective, scalable, and biologically grounded approach to diagnosing and managing CNS diseases, ultimately leading to earlier detection, personalized interventions, and improved patient outcomes.
	20	+The //Tridimensional Diagnostic Framework// redefines how CNS conditions are classified by focusing on:
21	21
22		-The project aims to develop a tridimensional diagnostic framework with an AI-powered annotation system, integrating etiology, molecular biomarkers, and neuroanatomoclinical correlations for precise and scalable CNS disease diagnostics.
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24		-The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
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26	26	* **Axis 1**: Etiology (genetic or other causes of diseases).
27	27	* **Axis 2**: Molecular Markers (biomarkers).
28	28	* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
29	29
	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"]]
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30	30	This methodology enables:
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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		-[[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"]]
41		-
42	42	* (((
43	43	**Axis 1: Etiology**
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45	45	* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
46	46	* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
47		-* //Tests//: Genetic testing, lifestyle, and cardiovascular screening.
	42	+* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
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49	49	* (((
50	50	**Axis 2: Molecular Markers**
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94	94	{{box title="**Contents**"}}
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101	101	* `/code`: Machine learning pipelines and scripts.
102	102	* `/data`: Sample datasets for testing.
103	103	* `/outputs`: Generated models, visualizations, and reports.
104		-* [[Methodology>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Methodology/]]
105		-* [[Results>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Results/]]
106		-* [[to-do-list>>to-do-list]]
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