Changes for page Neurodiagnoses

Last modified by manuelmenendez on 2025/03/03 22:46
From version 11.1
edited by manuelmenendez
on 2025/01/27 23:54
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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 neurodegenerative diseases (NDDs) are classified by focusing on:
21 += Who has access? =
21 21  
22 -* **Axis 1**: Etiology (genetic/sporadic and environmental factors).
23 -* **Axis 2**: Molecular Markers (biomarkers and proteinopathies).
24 -* **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system).
25 -
26 -This methodology enables:
27 -
28 -* Greater precision in diagnosis.
29 -* Integration of incomplete datasets using AI-driven probabilistic modeling.
30 -* Stratification of patients for personalized treatment.
31 -
32 -== **Diagnostic Axes** ==
33 -
34 -* (((
35 -**Axis 1: Etiology**
36 -
37 -* //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers.
38 -* //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression.
39 -* //Tests//: Genetic testing, lifestyle and cardiovascular screening.
40 -)))
41 -* (((
42 -**Axis 2: Molecular Markers**
43 -
44 -* //Description//: Analyzes primary (amyloid-beta, tau) and secondary biomarkers (NFL, GFAP) for tracking disease progression.
45 -* //Examples//: CSF amyloid-beta concentrations to confirm Alzheimer’s pathology.
46 -* //Tests//: Blood/CSF biomarkers, PET imaging (Tau-PET, Amyloid-PET).
47 -)))
48 -* (((
49 -**Axis 3: Neuroanatomoclinical**
50 -
51 -* //Description//: Links clinical symptoms to neuroanatomical changes, such as atrophy or functional impairments.
52 -* //Examples//: Hippocampal atrophy correlating with memory deficits.
53 -* //Tests//: MRI volumetrics, FDG-PET, neuropsychological evaluations.
54 -)))
55 -
56 -== **Applications** ==
57 -
58 -This system enhances:
59 -
60 -* **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials.
61 -* **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking.
62 -
63 -== Who has access? ==
64 -
65 65  We welcome contributions from the global community. Let’s build the future of neurological diagnostics together!
66 66  
67 -== How to Contribute ==
25 +== How to Contribute: ==
68 68  
69 69  * Access the `/docs` folder for guidelines.
70 70  * Use `/code` for the latest AI pipelines.
71 71  * Share feedback and ideas in the wiki discussion pages.
72 -
73 -== Key Objectives ==
74 -
75 -* Develop interpretable AI models for diagnosis and progression tracking.
76 -* Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources.
77 -* Foster collaboration among neuroscientists, AI researchers, and clinicians.
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79 79  
80 80  
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84 84  {{toc/}}
85 85  {{/box}}
86 86  
87 -== Main contents ==
39 +== Key Objectives: ==
88 88  
89 -* `/docs`: Documentation and contribution guidelines.
90 -* `/code`: Machine learning pipelines and scripts.
91 -* `/data`: Sample datasets for testing.
92 -* `/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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