Changes for page Methodology

Last modified by manuelmenendez on 2025/03/14 08:31

From version 12.2
edited by manuelmenendez
on 2025/02/09 09:54
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To version 16.1
edited by manuelmenendez
on 2025/02/09 10:08
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Summary

Details

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Content
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1 -==== **Overview** ====
1 +== **Overview** ==
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** ===
5 +== **Workflow** ==
6 6  
7 7  1. (((
8 8  **We Use GitHub to [[Store and develop AI models, scripts, and annotation pipelines.>>https://github.com/Fundacion-de-Neurociencias/neurodiagnoses/discussions]]**
... ... @@ -20,14 +20,13 @@
20 20  
21 21  ----
22 22  
23 -=== **1. Data Integration** ===
23 +== **1. Data Integration** ==
24 24  
25 -== Overview ==
25 +=== **EBRAINS Medical Informatics Platform (MIP)**. ===
26 26  
27 -
28 28  Neurodiagnoses integrates clinical data via the **EBRAINS Medical Informatics Platform (MIP)**. MIP federates decentralized clinical data, allowing Neurodiagnoses to securely access and process sensitive information for AI-based diagnostics.
29 29  
30 -== How It Works ==
29 +==== How It Works ====
31 31  
32 32  
33 33  1. (((
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50 50  * Access is granted only after signing a **Data Usage Agreement (DUA)**.
51 51  )))
52 52  
53 -== Implementation Steps ==
52 +==== Implementation Steps ====
54 54  
55 55  
56 56  1. Clone the repository.
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62 62  
63 63  ----
64 64  
65 -= Data Processing & Integration with Clinica.Run =
64 +=== Data Processing & Integration with Clinica.Run ===
66 66  
67 -
68 -== Overview ==
69 -
70 -
71 71  Neurodiagnoses now supports **Clinica.Run**, an open-source neuroimaging platform designed for **multimodal data processing and reproducible neuroscience workflows**.
72 72  
73 -== How It Works ==
68 +==== How It Works ====
74 74  
75 75  
76 76  1. (((
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92 92  * Neuroimaging data remains **within the original storage environment**.
93 93  )))
94 94  
95 -== Implementation Steps ==
90 +==== Implementation Steps ====
96 96  
97 97  
98 98  1. Install **Clinica.Run** dependencies.
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144 144  
145 145  ----
146 146  
147 -=== **2. AI-Based Analysis** ===
142 +== **2. AI-Based Analysis** ==
148 148  
149 149  ==== **Machine Learning & Deep Learning Models** ====
150 150  
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168 168  
169 169  ----
170 170  
171 -=== **3. Diagnostic Framework & Clinical Decision Support** ===
166 +== **3. Diagnostic Framework & Clinical Decision Support** ==
172 172  
173 173  ==== **Tridimensional Diagnostic Axes** ====
174 174  
... ... @@ -189,7 +189,7 @@
189 189  
190 190  ----
191 191  
192 -=== **4. Computational Workflow & Annotation Pipelines** ===
187 +== **4. Computational Workflow & Annotation Pipelines** ==
193 193  
194 194  ==== **Data Processing Steps** ====
195 195  
... ... @@ -214,7 +214,7 @@
214 214  
215 215  ----
216 216  
217 -=== **5. Validation & Real-World Testing** ===
212 +== **5. Validation & Real-World Testing** ==
218 218  
219 219  ==== **Prospective Clinical Study** ====
220 220  
... ... @@ -229,7 +229,7 @@
229 229  
230 230  ----
231 231  
232 -=== **6. Collaborative Development** ===
227 +== **6. Collaborative Development** ==
233 233  
234 234  The project is **open to contributions** from **researchers, clinicians, and developers**.
235 235  
... ... @@ -244,7 +244,7 @@
244 244  
245 245  ----
246 246  
247 -=== **7. Tools and Technologies** ===
242 +== **7. Tools and Technologies** ==
248 248  
249 249  ==== **Programming Languages:** ====
250 250  
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263 263  
264 264  * **Collaboratory Lab** for running Notebooks.
265 265  * **Buckets** for storing large datasets.
266 -
267 -----
268 -
269 -=== **Why This Matters** ===
270 -
271 -* The annotation system ensures that AI-generated insights are structured, interpretable, and clinically meaningful.
272 -* It enables real-time tracking of disease progression across the three diagnostic axes.
273 -* It facilitates integration with electronic health records and decision-support tools, improving AI adoption in clinical workflows.