Changes for page Neurodiagnoses

Last modified by manuelmenendez on 2025/03/03 22:46
From version 16.1
edited by manuelmenendez
on 2025/01/28 00:00
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To version 4.5
edited by manuelmenendez
on 2025/01/27 23:00
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5 -= //A new tridimensional diagnostic framework for CNS conditions// =
5 += Neurodiagnoses =
6 6  
7 -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.
8 -We aim to create a structured, interpretable, and scalable diagnostic tool.
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.
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11 11  
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16 -= What is this about and what can I find here? =
15 += What can I find here? =
17 17  
18 -== **Overview** ==
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 19  
20 -The //Tridimensional Diagnostic Framework// redefines how CNS conditions are classified by focusing on:
21 += Who has access? =
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).
25 -
26 -[[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"]]
27 -
28 -
29 -This methodology enables:
30 -
31 -* Greater precision in diagnosis.
32 -* Integration of incomplete datasets using AI-driven probabilistic modeling.
33 -* Stratification of patients for personalized treatment.
34 -
35 -== **Diagnostic Axes** ==
36 -
37 -* (((
38 -**Axis 1: Etiology**
39 -
40 -* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
41 -* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
42 -* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
43 -)))
44 -* (((
45 -**Axis 2: Molecular Markers**
46 -
47 -* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression.
48 -* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology.
49 -* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET).
50 -)))
51 -* (((
52 -**Axis 3: Neuroanatomoclinical**
53 -
54 -* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments.
55 -* //Examples//: Hippocampal atrophy correlating with memory deficits.
56 -* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations.
57 -)))
58 -
59 -== **Applications** ==
60 -
61 -This system enhances:
62 -
63 -* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials.
64 -* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
65 -
66 -== Who has access? ==
67 -
68 68  We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
69 69  
70 -== How to Contribute ==
25 +== How to Contribute: ==
71 71  
72 72  * Access the `/docs` folder for guidelines.
73 73  * Use `/code` for the latest AI pipelines.
74 74  * Share feedback and ideas in the wiki discussion pages.
75 -
76 -== Key Objectives ==
77 -
78 -* Develop interpretable AI models for diagnosis and progression tracking.
79 -* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
80 -* Foster collaboration among neuroscientists, AI researchers, and clinicians.
81 81  )))
82 82  
83 83  
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87 87  {{toc/}}
88 88  {{/box}}
89 89  
90 -== Main contents ==
39 +== Key Objectives: ==
91 91  
92 -* `/docs`: Documentation and contribution guidelines.
93 -* `/code`: Machine learning pipelines and scripts.
94 -* `/data`: Sample datasets for testing.
95 -* `/outputs`: Generated models, visualizations, and reports.
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 +
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