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15	15	(((
16	16	= What is this about and what can I find here? =
17	17
18		-= **Overview** =
	18	+== **Overview** ==
19	19
20		-
21		-The classification and diagnosis of **central nervous system (CNS) diseases** have long been constrained by **traditional phenotype-based approaches**, which often fail to capture the **complex pathophysiological mechanisms, molecular biomarkers, and neuroanatomical changes** that drive disease progression. **Neurodegenerative and psychiatric disorders**, for example, exhibit significant **clinical overlap, co-pathology, and heterogeneity**, making current diagnostic models insufficient.
22		-
23		-This project proposes a **new diagnostic framework**—one that **shifts from symptom-based classifications** to an **etiology-driven, tridimensional system**. By integrating **genetics, proteomics, neuroimaging, computational modeling, and AI-powered annotations**, this approach aims to provide a **more precise, scalable, and biologically grounded method for diagnosing and managing CNS diseases**.
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25		-The **AI-powered annotation system** plays a critical role by **structuring, interpreting, and tracking multi-modal data**, ensuring **real-time disease progression analysis, clinician decision support, and personalized treatment pathways**.
26		-
27		-=== **Project Aim** ===
28		-
29		-The project aims to develop a **tridimensional diagnostic framework** with an **AI-powered annotation system**, integrating **etiology, molecular biomarkers, and neuroanatomoclinical correlations** for **precise, standardized, and scalable CNS disease diagnostics**.
30		-
31	31	The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
32	32
33	33	* **Axis 1**: Etiology (genetic or other causes of diseases).
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40	40	* Integration of incomplete datasets using AI-driven probabilistic modeling.
41	41	* Stratification of patients for personalized treatment.
42	42
43		-== **The Role of AI-Powered Annotation** ==
44		-
45		-To enhance **standardization, interpretability, and clinical application**, the framework integrates **an AI-powered annotation system**, which:
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47		-* **Assigns structured metadata tags** to diagnostic features.
48		-* **Provides real-time contextual explanations** for AI-based classifications.
49		-* **Tracks longitudinal disease progression** using timestamped AI annotations.
50		-* **Improves AI model transparency** through interpretability tools (e.g., SHAP analysis).
51		-* **Facilitates decision-making for clinicians** by linking annotations to standardized biomedical ontologies (SNOMED, HPO).
52		-
53	53	== **The case of neurodegenerative diseases** ==
54	54
55	55	There have been described these 3 diagnostic axes:
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85	85	* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials.
86	86	* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
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	67	+== Who has access? ==
	68	+
	69	+We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
	70	+
88	88	== How to Contribute ==
89	89
90	90	* Access the `/docs` folder for guidelines.
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96	96	* Develop interpretable AI models for diagnosis and progression tracking.
97	97	* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
98	98	* Foster collaboration among neuroscientists, AI researchers, and clinicians.
99		-
100		-== Who has access? ==
101		-
102		-We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
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112	112	{{box title="**Contents**"}}