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5		-= My Collab's Extended Title =
	5	+= //A new tridimensional diagnostic framework for CNS conditions// =
6	6
7		-My collab's subtitle
	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	+We aim to create a structured, interpretable, and scalable diagnostic tool.
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15		-= What can I find here? =
	16	+= What is this about and what can I find here? =
16	16
17		-* Notice how the table of contents on the right
18		-* is automatically updated
19		-* to hold this page's headers
	18	+==== **Overview** ====
20	20
21		-= Who has access? =
	20	+The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDDs) are classified by focusing on:
22	22
23		-Describe the audience of this collab.
	22	+* **Axis 1**: Etiology (genetic/sporadic and environmental factors).
	23	+* **Axis 2**: Molecular Markers (biomarkers and proteinopathies).
	24	+* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
	25	+
	26	+This methodology enables:
	27	+
	28	+* Greater precision in diagnosis.
	29	+* Integration of incomplete datasets using AI-driven probabilistic modeling.
	30	+* Stratification of patients for personalized treatment.
	31	+
	32	+==== **Diagnostic Axes** ====
	33	+
	34	+* (((
	35	+**Axis 1: Etiology**
	36	+
	37	+* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
	38	+* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
	39	+* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
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	41	+* (((
	42	+**Axis 2: Molecular Markers**
25	25
	44	+* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression.
	45	+* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology.
	46	+* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET).
	47	+)))
	48	+* (((
	49	+**Axis 3: Neuroanatomoclinical**
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	51	+* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments.
	52	+* //Examples//: Hippocampal atrophy correlating with memory deficits.
	53	+* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations.
	54	+)))
	55	+
	56	+==== **Case Studies** ====
	57	+
	58	+1. (((
	59	+**Sporadic Alzheimer’s Disease**:
	60	+
	61	+* Axis 1: Sporadic (ApoE4, poor sleep habits).
	62	+* Axis 2: Amyloid-beta plaques, elevated NFL.
	63	+* Axis 3: Right hippocampus atrophy (visual memory loss).
	64	+)))
	65	+1. (((
	66	+**Genetic Parkinson’s Disease**:
	67	+
	68	+* Axis 1: Genetic (LRRK2 mutation).
	69	+* Axis 2: Alpha-synuclein aggregation.
	70	+* Axis 3: Substantia nigra degeneration (motor dysfunction).
	71	+)))
	72	+
	73	+==== **Applications** ====
	74	+
	75	+This system enhances:
	76	+
	77	+* **Research**: By stratifying patients, it reduces cohort heterogeneity in clinical trials.
	78	+* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
	79	+
	80	+== Who has access? ==
	81	+
	82	+We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
	83	+
	84	+== How to Contribute: ==
	85	+
	86	+* Access the `/docs` folder for guidelines.
	87	+* Use `/code` for the latest AI pipelines.
	88	+* Share feedback and ideas in the wiki discussion pages.
	89	+
	90	+== Key Objectives: ==
	91	+
	92	+* Develop interpretable AI models for diagnosis and progression tracking.
	93	+* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
	94	+* Foster collaboration among neuroscientists, AI researchers, and clinicians.
	95	+)))
	96	+
	97	+
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29	29	{{box title="**Contents**"}}
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30	30	{{toc/}}
31	31	{{/box}}
32	32
33		-
	104	+== Main contents: ==
	105	+
	106	+* `/docs`: Documentation and contribution guidelines.
	107	+* `/code`: Machine learning pipelines and scripts.
	108	+* `/data`: Sample datasets for testing.
	109	+* `/outputs`: Generated models, visualizations, and reports.
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