Changes for page Methodology

Last modified by manuelmenendez on 2025/03/14 08:31
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edited by manuelmenendez
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edited by manuelmenendez
on 2025/02/01 11:57
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Summary

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2 2  
3 3  This project develops a **tridimensional diagnostic framework** for **CNS diseases**, incorporating **AI-powered annotation tools** to improve **interpretability, standardization, and clinical utility**. The methodology integrates **multi-modal data**, including **genetic, neuroimaging, neurophysiological, and biomarker datasets**, and applies **machine learning models** to generate **structured, explainable diagnostic outputs**.
4 4  
5 -=== **Workflow** ===
6 -
7 -1. (((
8 -**We Use GitHub to [[Store and develop AI models, scripts, and annotation pipelines.>>https://github.com/Fundacion-de-Neurociencias/neurodiagnoses/discussions]]**
9 -
10 -* Create a **GitHub repository** for AI scripts and models.
11 -* Use **GitHub Projects** to manage research milestones.
12 -)))
13 -1. (((
14 -**We Use EBRAINS for Data & Collaboration**
15 -
16 -* Store **biomarker and neuroimaging data** in **EBRAINS Buckets**.
17 -* Run **Jupyter Notebooks** in **EBRAINS Lab** to test AI models.
18 -* Use **EBRAINS Wiki** for structured documentation and research discussion.
19 -)))
20 -
21 21  ----
22 22  
23 23  === **1. Data Integration** ===
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32 32  **Dimensionality Reduction and Interpretability:**
33 33  
34 34  * **Evaluate interpretability** using metrics like the **Area Under the Interpretability Curve (AUIC)**.
35 -* **Leverage [[DEIBO>>https://github.com/Mellandd/DEIBO]] (Data-driven Embedding Interpretation Based on Ontologies)** to connect model dimensions to ontology concepts.
19 +* **Leverage DEIBO (Data-driven Embedding Interpretation Based on Ontologies)** to connect model dimensions to ontology concepts.
36 36  
37 37  **Neuroimaging & EEG/MEG Data:**
38 38  
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184 184  
185 185  === **Why This Matters** ===
186 186  
187 -* The annotation system ensures that AI-generated insights are structured, interpretable, and clinically meaningful.
188 -* It enables real-time tracking of disease progression across the three diagnostic axes.
189 -* It facilitates integration with electronic health records and decision-support tools, improving AI adoption in clinical workflows.
171 +* **The annotation system ensures that AI-generated insights are structured, interpretable, and clinically meaningful.**
172 +* **It enables real-time tracking of disease progression across the three diagnostic axes.**
173 +* **It facilitates integration with electronic health records and decision-support tools, improving AI adoption in clinical workflows.**