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5		-= Neurodiagnoses =
	5	+= **Neurodiagnoses**
	6	+//A new tridimensional diagnostic framework for CNS conditions// =
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.
	8	+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.
	9	+We aim to create a structured, interpretable, and scalable diagnostic tool.
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15		-= What can I find here? =
	17	+= 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.
	19	+==== **Overview** ====
20	20
21		-= Who has access? =
	21	+The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDDs) are classified by focusing on:
22	22
	23	+* **Axis 1**: Etiology (genetic/sporadic and environmental factors).
	24	+* **Axis 2**: Molecular Markers (biomarkers and proteinopathies).
	25	+* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
	26	+
	27	+This methodology enables:
	28	+
	29	+* Greater precision in diagnosis.
	30	+* Integration of incomplete datasets using AI-driven probabilistic modeling.
	31	+* Stratification of patients for personalized treatment.
	32	+
	33	+==== **Diagnostic Axes** ====
	34	+
	35	+* (((
	36	+**Axis 1: Etiology**
	37	+
	38	+* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
	39	+* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
	40	+* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
	41	+)))
	42	+* (((
	43	+**Axis 2: Molecular Markers**
	44	+
	45	+* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression.
	46	+* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology.
	47	+* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET).
	48	+)))
	49	+* (((
	50	+**Axis 3: Neuroanatomoclinical**
	51	+
	52	+* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments.
	53	+* //Examples//: Hippocampal atrophy correlating with memory deficits.
	54	+* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations.
	55	+)))
	56	+
	57	+==== **Case Studies** ====
	58	+
	59	+1. (((
	60	+**Sporadic Alzheimer’s Disease**:
	61	+
	62	+* Axis 1: Sporadic (ApoE4, poor sleep habits).
	63	+* Axis 2: Amyloid-beta plaques, elevated NFL.
	64	+* Axis 3: Right hippocampus atrophy (visual memory loss).
	65	+)))
	66	+1. (((
	67	+**Genetic Parkinson’s Disease**:
	68	+
	69	+* Axis 1: Genetic (LRRK2 mutation).
	70	+* Axis 2: Alpha-synuclein aggregation.
	71	+* Axis 3: Substantia nigra degeneration (motor dysfunction).
	72	+)))
	73	+
	74	+==== **Applications** ====
	75	+
	76	+This system enhances:
	77	+
	78	+* **Research**: By stratifying patients, it reduces cohort heterogeneity in clinical trials.
	79	+* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
	80	+
	81	+== Who has access? ==
	82	+
23	23	We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
24	24
25	25	== How to Contribute: ==
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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.
	90	+
	91	+== Key Objectives: ==
	92	+
	93	+* Develop interpretable AI models for diagnosis and progression tracking.
	94	+* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
	95	+* Foster collaboration among neuroscientists, AI researchers, and clinicians.
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36	36	{{toc/}}
37	37	{{/box}}
38	38
39		-== Key Objectives: ==
	105	+== 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		-
	107	+* `/docs`: Documentation and contribution guidelines.
	108	+* `/code`: Machine learning pipelines and scripts.
	109	+* `/data`: Sample datasets for testing.
	110	+* `/outputs`: Generated models, visualizations, and reports.
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