Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -2,9 +2,9 @@
2	2	(((
3	3	(% class="container" %)
4	4	(((
5		-= //A new tridimensional diagnostic framework for neurodegenerative diseases// =
	5	+= //A new tridimensional diagnostic framework for CNS diseases// =
6	6
7		-This project is focused on developing a novel nosological and diagnostic framework for neurodegenerative diseases by using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies.
	7	+This project is focused on developing a novel nosological and diagnostic framework for CNS diseases by using advanced AI techniques and integrating data from neuroimaging, biomarkers, and biomedical ontologies.
8	8	We aim to create a structured, interpretable, and scalable diagnostic tool.
9	9	)))
10	10	)))
...	...	@@ -15,18 +15,25 @@
15	15	(((
16	16	= What is this about and what can I find here? =
17	17
18		-== **Overview** ==
	18	+= **Overview** =
19	19
20		-The //Tridimensional Diagnostic Framework// redefines how neurodegenerative diseases (NDD) are classified by focusing on:
21	21
22		-* **Axis 1**: Etiology (genetic or other causes of diseases).
23		-* **Axis 2**: Molecular Markers (biomarkers).
24		-* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
	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.
25	25
	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**.
26	26
27		-[[Neurodegenerative diseases can be studied and classified in a tridimensional scheme with three axes: anatomic–clinical, molecular, and etiologic. CSF, cerebrospinal fluid; FDG, fluorodeoxyglucose; MRI, magnetic resonance imaging; PET, positron emission tomography.>>image:tridimensional.png||alt="tridimensional view of neurodegenerative diseases"]]
	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**.
28	28
	27	+=== **Project Aim** ===
29	29
	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	+The //Tridimensional Diagnostic Framework// redefines CNS diseases can be classified and diagnosed by focusing on:
	32	+
	33	+* **Axis 1**: Etiology (genetic or other causes of diseases).
	34	+* **Axis 2**: Molecular Markers (biomarkers).
	35	+* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
	36	+
30	30	This methodology enables:
31	31
32	32	* Greater precision in diagnosis.
...	...	@@ -33,14 +33,28 @@
33	33	* Integration of incomplete datasets using AI-driven probabilistic modeling.
34	34	* Stratification of patients for personalized treatment.
35	35
36		-== **Diagnostic Axes** ==
	43	+== **The Role of AI-Powered Annotation** ==
37	37
	45	+To enhance **standardization, interpretability, and clinical application**, the framework integrates **an AI-powered annotation system**, which:
	46	+
	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	+== **The case of neurodegenerative diseases** ==
	54	+
	55	+There have been described these 3 diagnostic axes:
	56	+
	57	+[[Neurodegenerative diseases can be studied and classified in a tridimensional scheme with three axes: anatomic–clinical, molecular, and etiologic. CSF, cerebrospinal fluid; FDG, fluorodeoxyglucose; MRI, magnetic resonance imaging; PET, positron emission tomography.>>image:tridimensional.png||alt="tridimensional view of neurodegenerative diseases"]]
	58	+
38	38	* (((
39	39	**Axis 1: Etiology**
40	40
41	41	* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
42	42	* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
43		-* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
	64	+* //Tests//: Genetic testing, lifestyle, and cardiovascular screening.
44	44	)))
45	45	* (((
46	46	**Axis 2: Molecular Markers**
...	...	@@ -64,10 +64,6 @@
64	64	* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials.
65	65	* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
66	66
67		-== Who has access? ==
68		-
69		-We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
70		-
71	71	== How to Contribute ==
72	72
73	73	* Access the `/docs` folder for guidelines.
...	...	@@ -79,9 +79,17 @@
79	79	* Develop interpretable AI models for diagnosis and progression tracking.
80	80	* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
81	81	* 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!
82	82	)))
83	83
84	84
	106	+
	107	+
	108	+
	109	+
85	85	(% class="col-xs-12 col-sm-4" %)
86	86	(((
87	87	{{box title="**Contents**"}}
...	...	@@ -94,5 +94,9 @@
94	94	* `/code`: Machine learning pipelines and scripts.
95	95	* `/data`: Sample datasets for testing.
96	96	* `/outputs`: Generated models, visualizations, and reports.
	122	+* [[Methodology>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Methodology/]]
	123	+* [[Notebooks>>Notebooks]]
	124	+* [[Results>>url:https://wiki.ebrains.eu/bin/view/Collabs/neurodiagnoses/Results/]]
	125	+* [[to-do-list>>to-do-list]]
97	97	)))
98	98	)))