Changes for page Neurodiagnoses
Last modified by manuelmenendez on 2025/03/03 22:46
From version 22.1
edited by manuelmenendez
on 2025/01/29 18:44
on 2025/01/29 18:44
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To version 34.1
edited by manuelmenendez
on 2025/02/01 13:54
on 2025/02/01 13:54
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... ... @@ -2,9 +2,9 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= //A new tridimensional diagnostic framework for neurodegenerativediseases// =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 neurodegenerativediseases 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 ))) ... ... @@ -15,17 +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 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. 22 + 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**. 24 + 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**. 26 + 27 +=== **Project Aim** === 28 + 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 + 22 22 * **Axis 1**: Etiology (genetic or other causes of diseases). 23 23 * **Axis 2**: Molecular Markers (biomarkers). 24 24 * **Axis 3**: Neuroanatomoclinical correlations (linking clinical symptoms to structural changes in the nervous system). 25 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 29 This methodology enables: 30 30 31 31 * Greater precision in diagnosis. ... ... @@ -32,14 +32,28 @@ 32 32 * Integration of incomplete datasets using AI-driven probabilistic modeling. 33 33 * Stratification of patients for personalized treatment. 34 34 35 -== ** DiagnosticAxes** ==43 +== **The Role of AI-Powered Annotation** == 36 36 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 + 37 37 * ((( 38 38 **Axis 1: Etiology** 39 39 40 40 * //Description//: Focuses on genetic and sporadic causes, identifying risk factors and potential triggers. 41 41 * //Examples//: APOE ε4 as a genetic risk factor, or cardiovascular health affecting NDD progression. 42 -* //Tests//: Genetic testing, lifestyle and cardiovascular screening. 64 +* //Tests//: Genetic testing, lifestyle, and cardiovascular screening. 43 43 ))) 44 44 * ((( 45 45 **Axis 2: Molecular Markers** ... ... @@ -63,10 +63,6 @@ 63 63 * **Research**: By stratifying patients, reduces cohort heterogeneity in clinical trials. 64 64 * **Clinical Practice**: Provides dynamic diagnostic annotations with timestamps for longitudinal tracking. 65 65 66 -== Who has access? == 67 - 68 -We welcome contributions from the global community. Let’s build the future of neurological diagnostics together! 69 - 70 70 == How to Contribute == 71 71 72 72 * Access the `/docs` folder for guidelines. ... ... @@ -78,9 +78,17 @@ 78 78 * Develop interpretable AI models for diagnosis and progression tracking. 79 79 * Integrate data from Human Phenotype Ontology (HPO), Gene Ontology (GO), and other biomedical resources. 80 80 * 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! 81 81 ))) 82 82 83 83 106 + 107 + 108 + 109 + 84 84 (% class="col-xs-12 col-sm-4" %) 85 85 ((( 86 86 {{box title="**Contents**"}}