Régions d'ancrage à la matrice nucléaire : Questions médicales fréquentes
Nom anglais: Matrix Attachment Regions
Descriptor UI:D045170
Tree Number:G05.360.080.534
Termes MeSH sélectionnés :
Deep Learning
{
"@context": "https://schema.org",
"@graph": [
{
"@type": "MedicalWebPage",
"name": "Régions d'ancrage à la matrice nucléaire : Questions médicales les plus fréquentes",
"headline": "Régions d'ancrage à la matrice nucléaire : Comprendre les symptômes, diagnostics et traitements",
"description": "Guide complet et accessible sur les Régions d'ancrage à la matrice nucléaire : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.",
"datePublished": "2024-07-10",
"dateModified": "2025-04-06",
"inLanguage": "fr",
"medicalAudience": [
{
"@type": "MedicalAudience",
"name": "Grand public",
"audienceType": "Patient",
"healthCondition": {
"@type": "MedicalCondition",
"name": "Régions d'ancrage à la matrice nucléaire"
},
"suggestedMinAge": 18,
"suggestedGender": "unisex"
},
{
"@type": "MedicalAudience",
"name": "Médecins",
"audienceType": "Physician",
"geographicArea": {
"@type": "AdministrativeArea",
"name": "France"
}
},
{
"@type": "MedicalAudience",
"name": "Chercheurs",
"audienceType": "Researcher",
"geographicArea": {
"@type": "AdministrativeArea",
"name": "International"
}
}
],
"reviewedBy": {
"@type": "Person",
"name": "Dr Olivier Menir",
"jobTitle": "Expert en Médecine",
"description": "Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale",
"url": "/static/pages/docteur-olivier-menir.html",
"alumniOf": {
"@type": "EducationalOrganization",
"name": "Université Paris Descartes"
}
},
"isPartOf": {
"@type": "MedicalWebPage",
"name": "Structures génétiques",
"url": "https://questionsmedicales.fr/mesh/D040342",
"about": {
"@type": "MedicalCondition",
"name": "Structures génétiques",
"code": {
"@type": "MedicalCode",
"code": "D040342",
"codingSystem": "MeSH"
},
"identifier": {
"@type": "PropertyValue",
"propertyID": "MeSH Tree",
"value": "G05.360"
}
}
},
"about": {
"@type": "MedicalCondition",
"name": "Régions d'ancrage à la matrice nucléaire",
"alternateName": "Matrix Attachment Regions",
"code": {
"@type": "MedicalCode",
"code": "D045170",
"codingSystem": "MeSH"
}
},
"author": [
{
"@type": "Person",
"name": "Tian-Yun Wang",
"url": "https://questionsmedicales.fr/author/Tian-Yun%20Wang",
"affiliation": {
"@type": "Organization",
"name": "Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang 453003, Henan, China."
}
},
{
"@type": "Person",
"name": "Xiao-Yin Wang",
"url": "https://questionsmedicales.fr/author/Xiao-Yin%20Wang",
"affiliation": {
"@type": "Organization",
"name": "Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang 453003, Henan, China."
}
},
{
"@type": "Person",
"name": "Yan-Long Jia",
"url": "https://questionsmedicales.fr/author/Yan-Long%20Jia",
"affiliation": {
"@type": "Organization",
"name": "Pharmacy Collage, Xinxiang Medical University, Xinxiang 453003, Henan, China."
}
},
{
"@type": "Person",
"name": "Xiao Guo",
"url": "https://questionsmedicales.fr/author/Xiao%20Guo",
"affiliation": {
"@type": "Organization",
"name": "Department of Biochemistry and Molecular Biology, Xinxiang Medical University, Xinxiang 453003, Henan, China; International Joint Research Laboratory for Recombinant Pharmaceutical Protein Expression System of Henan, Xinxiang Medical University, Xinxiang 453003, Henan, China."
}
},
{
"@type": "Person",
"name": "Lubna Anis",
"url": "https://questionsmedicales.fr/author/Lubna%20Anis",
"affiliation": {
"@type": "Organization",
"name": "Owerko Centre for Children's Neurodevelopment and Mental Health, Alberta Children's Hospital Research Institute, Faculty of Nursing, University of Calgary, Calgary, AB T2N 1N4, Canada."
}
}
],
"citation": [
{
"@type": "ScholarlyArticle",
"name": "Deep learning-based IDH1 gene mutation prediction using histopathological imaging and clinical data.",
"datePublished": "2024-07-21",
"url": "https://questionsmedicales.fr/article/39038392",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.compbiomed.2024.108902"
}
},
{
"@type": "ScholarlyArticle",
"name": "Utilizing deep learning models in an intelligent eye-tracking system for autism spectrum disorder diagnosis.",
"datePublished": "2024-07-19",
"url": "https://questionsmedicales.fr/article/39099594",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.3389/fmed.2024.1436646"
}
},
{
"@type": "ScholarlyArticle",
"name": "Deep learning reconstruction for coronary CT angiography in patients with origin anomaly, stent or bypass graft.",
"datePublished": "2024-07-18",
"url": "https://questionsmedicales.fr/article/39023665",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1007/s11547-024-01846-3"
}
},
{
"@type": "ScholarlyArticle",
"name": "Enhancing water quality monitoring through the integration of deep learning neural networks and fuzzy method.",
"datePublished": "2024-07-12",
"url": "https://questionsmedicales.fr/article/39002215",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.marpolbul.2024.116698"
}
},
{
"@type": "ScholarlyArticle",
"name": "Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) with Electronic Health Records.",
"datePublished": "2024-07-12",
"url": "https://questionsmedicales.fr/article/39004109",
"identifier": {
"@type": "PropertyValue",
"propertyID": "DOI",
"value": "10.1016/j.jbi.2024.104685"
}
}
],
"breadcrumb": {
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "questionsmedicales.fr",
"item": "https://questionsmedicales.fr"
},
{
"@type": "ListItem",
"position": 2,
"name": "Phénomènes génétiques",
"item": "https://questionsmedicales.fr/mesh/D055614"
},
{
"@type": "ListItem",
"position": 3,
"name": "Structures génétiques",
"item": "https://questionsmedicales.fr/mesh/D040342"
},
{
"@type": "ListItem",
"position": 4,
"name": "Régions d'ancrage à la matrice nucléaire",
"item": "https://questionsmedicales.fr/mesh/D045170"
}
]
}
},
{
"@type": "MedicalWebPage",
"name": "Article complet : Régions d'ancrage à la matrice nucléaire - Questions et réponses",
"headline": "Questions et réponses médicales fréquentes sur Régions d'ancrage à la matrice nucléaire",
"description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.",
"datePublished": "2025-05-15",
"inLanguage": "fr",
"hasPart": [
{
"@type": "MedicalWebPage",
"name": "Diagnostic",
"headline": "Diagnostic sur Régions d'ancrage à la matrice nucléaire",
"description": "Comment identifier les MAR dans le génome ?\nQuels tests sont utilisés pour étudier les MAR ?\nLes MAR sont-elles visibles par microscopie ?\nPeut-on détecter des mutations dans les MAR ?\nLes MAR sont-elles associées à des maladies ?",
"url": "https://questionsmedicales.fr/mesh/D045170?mesh_terms=Deep+Learning&page=1000#section-diagnostic"
},
{
"@type": "MedicalWebPage",
"name": "Symptômes",
"headline": "Symptômes sur Régions d'ancrage à la matrice nucléaire",
"description": "Quels symptômes sont liés aux anomalies des MAR ?\nLes MAR affectent-elles l'expression génique ?\nY a-t-il des symptômes associés aux cancers liés aux MAR ?\nLes MAR influencent-elles le développement embryonnaire ?\nLes anomalies des MAR peuvent-elles causer des troubles ?",
"url": "https://questionsmedicales.fr/mesh/D045170?mesh_terms=Deep+Learning&page=1000#section-symptômes"
},
{
"@type": "MedicalWebPage",
"name": "Prévention",
"headline": "Prévention sur Régions d'ancrage à la matrice nucléaire",
"description": "Peut-on prévenir les anomalies des MAR ?\nY a-t-il des tests de dépistage pour les anomalies des MAR ?\nComment réduire le risque de cancers liés aux MAR ?\nL'alimentation influence-t-elle les MAR ?\nLes examens médicaux réguliers aident-ils ?",
"url": "https://questionsmedicales.fr/mesh/D045170?mesh_terms=Deep+Learning&page=1000#section-prévention"
},
{
"@type": "MedicalWebPage",
"name": "Traitements",
"headline": "Traitements sur Régions d'ancrage à la matrice nucléaire",
"description": "Y a-t-il des traitements ciblant les MAR ?\nComment les thérapies géniques affectent-elles les MAR ?\nLes traitements du cancer affectent-ils les MAR ?\nPeut-on utiliser des médicaments pour moduler les MAR ?\nLes interventions chirurgicales peuvent-elles affecter les MAR ?",
"url": "https://questionsmedicales.fr/mesh/D045170?mesh_terms=Deep+Learning&page=1000#section-traitements"
},
{
"@type": "MedicalWebPage",
"name": "Complications",
"headline": "Complications sur Régions d'ancrage à la matrice nucléaire",
"description": "Quelles complications peuvent survenir avec des anomalies des MAR ?\nLes anomalies des MAR peuvent-elles entraîner des maladies chroniques ?\nY a-t-il des complications liées aux traitements des MAR ?\nLes complications sont-elles réversibles ?\nLes anomalies des MAR affectent-elles la fertilité ?",
"url": "https://questionsmedicales.fr/mesh/D045170?mesh_terms=Deep+Learning&page=1000#section-complications"
},
{
"@type": "MedicalWebPage",
"name": "Facteurs de risque",
"headline": "Facteurs de risque sur Régions d'ancrage à la matrice nucléaire",
"description": "Quels sont les facteurs de risque pour les anomalies des MAR ?\nL'âge influence-t-il les anomalies des MAR ?\nLe mode de vie affecte-t-il les MAR ?\nLes antécédents familiaux jouent-ils un rôle ?\nLes agents environnementaux influencent-ils les MAR ?",
"url": "https://questionsmedicales.fr/mesh/D045170?mesh_terms=Deep+Learning&page=1000#section-facteurs de risque"
}
]
},
{
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "Comment identifier les MAR dans le génome ?",
"position": 1,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les MAR peuvent être identifiées par des techniques de séquençage et d'analyse bioinformatique."
}
},
{
"@type": "Question",
"name": "Quels tests sont utilisés pour étudier les MAR ?",
"position": 2,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des tests comme la PCR et l'hybridation in situ sont couramment utilisés."
}
},
{
"@type": "Question",
"name": "Les MAR sont-elles visibles par microscopie ?",
"position": 3,
"acceptedAnswer": {
"@type": "Answer",
"text": "Non, les MAR ne sont pas directement visibles, mais leur effet sur la structure peut l'être."
}
},
{
"@type": "Question",
"name": "Peut-on détecter des mutations dans les MAR ?",
"position": 4,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des mutations dans les MAR peuvent être détectées par séquençage ciblé."
}
},
{
"@type": "Question",
"name": "Les MAR sont-elles associées à des maladies ?",
"position": 5,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certaines MAR peuvent être liées à des maladies génétiques ou à des cancers."
}
},
{
"@type": "Question",
"name": "Quels symptômes sont liés aux anomalies des MAR ?",
"position": 6,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les anomalies des MAR peuvent entraîner des dysfonctionnements cellulaires, mais pas de symptômes spécifiques."
}
},
{
"@type": "Question",
"name": "Les MAR affectent-elles l'expression génique ?",
"position": 7,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, les MAR jouent un rôle crucial dans la régulation de l'expression génique."
}
},
{
"@type": "Question",
"name": "Y a-t-il des symptômes associés aux cancers liés aux MAR ?",
"position": 8,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les symptômes dépendent du type de cancer, mais peuvent inclure fatigue, douleur, et perte de poids."
}
},
{
"@type": "Question",
"name": "Les MAR influencent-elles le développement embryonnaire ?",
"position": 9,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, les MAR sont impliquées dans la régulation des gènes essentiels au développement embryonnaire."
}
},
{
"@type": "Question",
"name": "Les anomalies des MAR peuvent-elles causer des troubles ?",
"position": 10,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des anomalies peuvent contribuer à des troubles du développement ou des cancers."
}
},
{
"@type": "Question",
"name": "Peut-on prévenir les anomalies des MAR ?",
"position": 11,
"acceptedAnswer": {
"@type": "Answer",
"text": "La prévention est difficile, mais un mode de vie sain peut réduire les risques de maladies associées."
}
},
{
"@type": "Question",
"name": "Y a-t-il des tests de dépistage pour les anomalies des MAR ?",
"position": 12,
"acceptedAnswer": {
"@type": "Answer",
"text": "Actuellement, il n'existe pas de tests de dépistage spécifiques pour les anomalies des MAR."
}
},
{
"@type": "Question",
"name": "Comment réduire le risque de cancers liés aux MAR ?",
"position": 13,
"acceptedAnswer": {
"@type": "Answer",
"text": "Éviter les facteurs de risque connus comme le tabagisme et l'exposition à des agents cancérigènes."
}
},
{
"@type": "Question",
"name": "L'alimentation influence-t-elle les MAR ?",
"position": 14,
"acceptedAnswer": {
"@type": "Answer",
"text": "Une alimentation équilibrée peut influencer l'expression génique, y compris celle des MAR."
}
},
{
"@type": "Question",
"name": "Les examens médicaux réguliers aident-ils ?",
"position": 15,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des examens réguliers peuvent aider à détecter précocement des maladies associées."
}
},
{
"@type": "Question",
"name": "Y a-t-il des traitements ciblant les MAR ?",
"position": 16,
"acceptedAnswer": {
"@type": "Answer",
"text": "Actuellement, il n'existe pas de traitements spécifiques ciblant les MAR."
}
},
{
"@type": "Question",
"name": "Comment les thérapies géniques affectent-elles les MAR ?",
"position": 17,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les thérapies géniques peuvent modifier l'expression des gènes associés aux MAR."
}
},
{
"@type": "Question",
"name": "Les traitements du cancer affectent-ils les MAR ?",
"position": 18,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, certains traitements du cancer peuvent influencer l'activité des MAR."
}
},
{
"@type": "Question",
"name": "Peut-on utiliser des médicaments pour moduler les MAR ?",
"position": 19,
"acceptedAnswer": {
"@type": "Answer",
"text": "Des recherches sont en cours pour développer des médicaments modulant l'activité des MAR."
}
},
{
"@type": "Question",
"name": "Les interventions chirurgicales peuvent-elles affecter les MAR ?",
"position": 20,
"acceptedAnswer": {
"@type": "Answer",
"text": "Indirectement, en modifiant l'environnement cellulaire, mais pas directement les MAR."
}
},
{
"@type": "Question",
"name": "Quelles complications peuvent survenir avec des anomalies des MAR ?",
"position": 21,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les complications incluent des troubles du développement et un risque accru de cancers."
}
},
{
"@type": "Question",
"name": "Les anomalies des MAR peuvent-elles entraîner des maladies chroniques ?",
"position": 22,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, certaines anomalies peuvent contribuer à des maladies chroniques comme le cancer."
}
},
{
"@type": "Question",
"name": "Y a-t-il des complications liées aux traitements des MAR ?",
"position": 23,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les traitements peuvent avoir des effets secondaires, mais pas spécifiquement liés aux MAR."
}
},
{
"@type": "Question",
"name": "Les complications sont-elles réversibles ?",
"position": 24,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certaines complications peuvent être gérées, mais d'autres peuvent être permanentes."
}
},
{
"@type": "Question",
"name": "Les anomalies des MAR affectent-elles la fertilité ?",
"position": 25,
"acceptedAnswer": {
"@type": "Answer",
"text": "Certaines anomalies peuvent influencer la fertilité, mais cela dépend du contexte génétique."
}
},
{
"@type": "Question",
"name": "Quels sont les facteurs de risque pour les anomalies des MAR ?",
"position": 26,
"acceptedAnswer": {
"@type": "Answer",
"text": "Les facteurs incluent des prédispositions génétiques et des expositions environnementales."
}
},
{
"@type": "Question",
"name": "L'âge influence-t-il les anomalies des MAR ?",
"position": 27,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, l'âge avancé peut augmenter le risque de mutations génétiques, y compris dans les MAR."
}
},
{
"@type": "Question",
"name": "Le mode de vie affecte-t-il les MAR ?",
"position": 28,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des habitudes comme le tabagisme et l'alimentation peuvent influencer les MAR."
}
},
{
"@type": "Question",
"name": "Les antécédents familiaux jouent-ils un rôle ?",
"position": 29,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, des antécédents familiaux de maladies génétiques peuvent augmenter le risque d'anomalies."
}
},
{
"@type": "Question",
"name": "Les agents environnementaux influencent-ils les MAR ?",
"position": 30,
"acceptedAnswer": {
"@type": "Answer",
"text": "Oui, l'exposition à des agents cancérigènes peut affecter l'intégrité des MAR."
}
}
]
}
]
}
In the field of histopathology, many studies on the classification of whole slide images (WSIs) using artificial intelligence (AI) technology have been reported. We have studied the disease progressio...
Timely and unbiased evaluation of Autism Spectrum Disorder (ASD) is essential for providing lasting benefits to affected individuals. However, conventional ASD assessment heavily relies on subjective ...
To develop and validate a deep learning (DL)-model for automatic reconstruction for coronary CT angiography (CCTA) in patients with origin anomaly, stent or bypass graft....
In this retrospective study, a DL model for automatic CCTA reconstruction was developed with training and validation sets from 6063 and 1962 patients. The algorithm was evaluated on an independent ext...
In the external test set, 812 patients (mean age, 64.0 ± 11.6, 100 with origin anomalies, 152 with stents, 105 with bypass grafts) were evaluated. The successful rates for automatic reconstruction wer...
The developed DL model enabled accurate automatic CCTA reconstruction of bypass graft, stent and origin anomaly. It significantly reduced post-processing time and improved clinical workflow....
The escalating growth of the global population has led to degraded water quality, particularly in seawater environments. Water quality monitoring is crucial to understanding the dynamic changes and im...
Risk prediction plays a crucial role in planning for prevention, monitoring, and treatment. Electronic Health Records (EHRs) offer an expansive repository of temporal medical data encompassing both ri...
We develop a Semi-supervised Double Deep Learning Temporal Risk Prediction (SeDDLeR) algorithm based on extensive unlabeled longitudinal Electronic Health Records (EHR) data augmented by a limited set...
The SeDDLeR algorithm calculates an individualized risk of developing future clinical events over time using each patient's baseline EHR features via the following steps: (1) construction of an initia...
SeDDLeR outperforms benchmark risk prediction methods, including Semi-parametric Transformation Model (STM) and DeepHit, with consistently best accuracy across experiments. SeDDLeR achieved the best C...
SeDDLeR can train robust risk prediction models in both real-world EHR and synthetic datasets with minimal requirements of labeling event times. It holds the potential to be incorporated for future cl...
To establish the automatic soft-tissue analysis model based on deep learning that performs landmark detection and measurement calculations on orthodontic facial photographs to achieve a more comprehen...
A total of 578 frontal photographs and 450 lateral photographs of orthodontic patients were collected to construct datasets. All images were manually annotated by two orthodontists with 43 frontal-ima...
The mean radial error was 14.44 ± 17.20 pixels for the landmarks in the frontal images and 13.48 ± 17.12 pixels for the landmarks in the lateral images. There was no statistically significant differen...
Based on deep learning, we established automatic soft-tissue analysis models for orthodontic facial photographs that can automatically detect 43 frontal-image landmarks and 17 lateral-image landmarks ...
To provide automatic detection of Type 1 retinopathy of prematurity (ROP), Type 2 ROP, and A-ROP by deep learning-based analysis of fundus images obtained by clinical examination using convolutional n...
A total of 634 fundus images of 317 premature infants born at 23-34 weeks of gestation were evaluated. After image pre-processing, we obtained a rectangular region (ROI). RegNetY002 was used for algor...
The model achieved 0.98 accuracy and 0.98 specificity in detecting Type 2 ROP versus Type 1 ROP and A-ROP. On the other hand, as a result of the analysis of ROI regions, the model achieved 0.90 accura...
Our study demonstrated that ROP classification by DL-based analysis of fundus images can be distinguished with high accuracy and specificity. Integrating DL-based artificial intelligence algorithms in...
The clinical decision-making regarding choosing surgery alone (SA) or surgery followed by postoperative adjuvant chemotherapy (SPOCT) in esophageal squamous cell carcinoma (ESCC) remains controversial...
This retrospective multicenter study included 837 ESCC patients from three institutions. Prognostic biomarkers integrating six networks were developed to build an ESCC prognosis (ESCCPro) model and pr...
In this retrospective multicenter study, patients receiving SA had a median OS 9.2 months longer than controls. No significant differences in survival were found between SA patients with predicted poo...
ESCCPro assistance improved the survival benefit of ESCC patients and the clinical decision-making among the two treatment approaches....
The ESCCPro model for treatment decision-making is promising to improve overall survival in ESCC patients undergoing surgical resection and patients undergoing surgery followed by postoperative adjuva...
ESCC is associated with a poor prognosis and unclear ideal treatments. ESCCPro predicts the survival of patients with ESCC and the expected benefit from SA. ESCCPro improves clinicians' stratification...
Medical treatment decisions inherently involve a series of sequential choices, each informed by the outcomes of preceding decisions. This process closely aligns with the principles of reinforcement le...
Accurate detection of invasive breast cancer (IC) can provide decision support to pathologists as well as improve downstream computational analyses, where detection of IC is a first step. Tissue conta...