Titre : Gènes vif

Gènes vif : Questions médicales fréquentes

Termes MeSH sélectionnés :

Problem-Based Learning
{ "@context": "https://schema.org", "@graph": [ { "@type": "MedicalWebPage", "name": "Gènes vif : Questions médicales les plus fréquentes", "headline": "Gènes vif : Comprendre les symptômes, diagnostics et traitements", "description": "Guide complet et accessible sur les Gènes vif : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.", "datePublished": "2024-07-02", "dateModified": "2025-03-29", "inLanguage": "fr", "medicalAudience": [ { "@type": "MedicalAudience", "name": "Grand public", "audienceType": "Patient", "healthCondition": { "@type": "MedicalCondition", "name": "Gènes vif" }, "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": "Gènes viraux", "url": "https://questionsmedicales.fr/mesh/D005814", "about": { "@type": "MedicalCondition", "name": "Gènes viraux", "code": { "@type": "MedicalCode", "code": "D005814", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "G05.360.340.358.840.500" } } }, "about": { "@type": "MedicalCondition", "name": "Gènes vif", "alternateName": "Genes, vif", "code": { "@type": "MedicalCode", "code": "D016341", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Daniel J Salamango", "url": "https://questionsmedicales.fr/author/Daniel%20J%20Salamango", "affiliation": { "@type": "Organization", "name": "Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; Institute for Molecular Virology, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: dsalaman@umn.edu." } }, { "@type": "Person", "name": "Reuben S Harris", "url": "https://questionsmedicales.fr/author/Reuben%20S%20Harris", "affiliation": { "@type": "Organization", "name": "Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN 55455, USA; Howard Hughes Medical Institute, University of Minnesota, Minneapolis, MN 55455, USA. Electronic address: rsh@umn.edu." } }, { "@type": "Person", "name": "Yingxia Hu", "url": "https://questionsmedicales.fr/author/Yingxia%20Hu", "affiliation": { "@type": "Organization", "name": "Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA." } }, { "@type": "Person", "name": "Yong Xiong", "url": "https://questionsmedicales.fr/author/Yong%20Xiong", "affiliation": { "@type": "Organization", "name": "Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA. Electronic address: yong.xiong@yale.edu." } }, { "@type": "Person", "name": "Nicholas M Chesarino", "url": "https://questionsmedicales.fr/author/Nicholas%20M%20Chesarino", "affiliation": { "@type": "Organization", "name": "Divisions of Human Biology and Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.", "datePublished": "2024-01-09", "url": "https://questionsmedicales.fr/article/38211658", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.jocmr.2023.100003" } }, { "@type": "ScholarlyArticle", "name": "Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach.", "datePublished": "2024-01-08", "url": "https://questionsmedicales.fr/article/38293520", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.heliyon.2024.e24188" } }, { "@type": "ScholarlyArticle", "name": "Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.", "datePublished": "2024-01-06", "url": "https://questionsmedicales.fr/article/38184556", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1186/s12911-023-02411-0" } }, { "@type": "ScholarlyArticle", "name": "Validation of Machine Learning-Aided and Power Line Communication-Based Cable Monitoring Using Measurement Data.", "datePublished": "2024-01-05", "url": "https://questionsmedicales.fr/article/38257428", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.3390/s24020335" } }, { "@type": "ScholarlyArticle", "name": "A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma.", "datePublished": "2024-01-04", "url": "https://questionsmedicales.fr/article/38175256", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1007/s00261-023-04141-3" } } ], "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": "Génome", "item": "https://questionsmedicales.fr/mesh/D016678" }, { "@type": "ListItem", "position": 5, "name": "Génome microbien", "item": "https://questionsmedicales.fr/mesh/D064349" }, { "@type": "ListItem", "position": 6, "name": "Génome viral", "item": "https://questionsmedicales.fr/mesh/D016679" }, { "@type": "ListItem", "position": 7, "name": "Gènes viraux", "item": "https://questionsmedicales.fr/mesh/D005814" }, { "@type": "ListItem", "position": 8, "name": "Gènes vif", "item": "https://questionsmedicales.fr/mesh/D016341" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Gènes vif - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Gènes vif", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-05-16", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Gènes vif", "description": "Comment diagnostiquer une mutation génétique ?\nQuels tests sont utilisés pour les gènes vif ?\nQuels symptômes indiquent un problème génétique ?\nPeut-on identifier des gènes vif par imagerie ?\nQuel rôle joue le conseil génétique ?", "url": "https://questionsmedicales.fr/mesh/D016341?mesh_terms=Problem-Based+Learning&page=998#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Gènes vif", "description": "Quels sont les symptômes des maladies génétiques ?\nLes gènes vif causent-ils des symptômes spécifiques ?\nComment les symptômes évoluent-ils avec l'âge ?\nLes symptômes sont-ils héréditaires ?\nY a-t-il des symptômes communs aux gènes vif ?", "url": "https://questionsmedicales.fr/mesh/D016341?mesh_terms=Problem-Based+Learning&page=998#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Gènes vif", "description": "Peut-on prévenir les maladies génétiques ?\nQuel rôle joue le dépistage précoce ?\nLes vaccinations aident-elles à prévenir des maladies génétiques ?\nComment le mode de vie influence-t-il les gènes ?\nLes conseils génétiques aident-ils à la prévention ?", "url": "https://questionsmedicales.fr/mesh/D016341?mesh_terms=Problem-Based+Learning&page=998#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Gènes vif", "description": "Quels traitements existent pour les maladies génétiques ?\nLa thérapie génique est-elle efficace ?\nQuels médicaments ciblent les gènes vif ?\nLes traitements sont-ils personnalisés ?\nComment gérer les symptômes au quotidien ?", "url": "https://questionsmedicales.fr/mesh/D016341?mesh_terms=Problem-Based+Learning&page=998#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Gènes vif", "description": "Quelles complications peuvent survenir avec des gènes vif ?\nLes complications sont-elles réversibles ?\nComment les complications affectent-elles la qualité de vie ?\nLes complications sont-elles prévisibles ?\nQuel suivi médical est nécessaire pour les complications ?", "url": "https://questionsmedicales.fr/mesh/D016341?mesh_terms=Problem-Based+Learning&page=998#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Gènes vif", "description": "Quels sont les facteurs de risque pour les maladies génétiques ?\nL'âge des parents influence-t-il les risques ?\nLes antécédents familiaux sont-ils un facteur de risque ?\nL'exposition à des toxines influence-t-elle les gènes ?\nLe mode de vie peut-il affecter les risques génétiques ?", "url": "https://questionsmedicales.fr/mesh/D016341?mesh_terms=Problem-Based+Learning&page=998#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment diagnostiquer une mutation génétique ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Un diagnostic se fait par séquençage génétique et tests de laboratoire." } }, { "@type": "Question", "name": "Quels tests sont utilisés pour les gènes vif ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Les tests incluent le séquençage de l'ADN et l'analyse de l'expression génique." } }, { "@type": "Question", "name": "Quels symptômes indiquent un problème génétique ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Des symptômes variés comme des malformations, des troubles métaboliques ou neurologiques." } }, { "@type": "Question", "name": "Peut-on identifier des gènes vif par imagerie ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "L'imagerie peut aider à détecter des anomalies, mais ne révèle pas les gènes directement." } }, { "@type": "Question", "name": "Quel rôle joue le conseil génétique ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Le conseil génétique aide à comprendre les risques et les implications des mutations." } }, { "@type": "Question", "name": "Quels sont les symptômes des maladies génétiques ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes varient, incluant fatigue, douleurs, anomalies physiques ou cognitives." } }, { "@type": "Question", "name": "Les gènes vif causent-ils des symptômes spécifiques ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Oui, certains gènes vif sont liés à des traits ou maladies spécifiques." } }, { "@type": "Question", "name": "Comment les symptômes évoluent-ils avec l'âge ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes peuvent s'aggraver ou apparaître avec l'âge, selon la maladie." } }, { "@type": "Question", "name": "Les symptômes sont-ils héréditaires ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, de nombreux symptômes liés à des gènes vif peuvent être héréditaires." } }, { "@type": "Question", "name": "Y a-t-il des symptômes communs aux gènes vif ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Des symptômes comme des troubles du développement ou des anomalies métaboliques peuvent être communs." } }, { "@type": "Question", "name": "Peut-on prévenir les maladies génétiques ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Certaines maladies peuvent être prévenues par des tests génétiques et des conseils." } }, { "@type": "Question", "name": "Quel rôle joue le dépistage précoce ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Le dépistage précoce permet d'identifier les risques et d'intervenir rapidement." } }, { "@type": "Question", "name": "Les vaccinations aident-elles à prévenir des maladies génétiques ?", "position": 13, "acceptedAnswer": { "@type": "Answer", "text": "Non, les vaccinations ne préviennent pas les maladies génétiques, mais les infections." } }, { "@type": "Question", "name": "Comment le mode de vie influence-t-il les gènes ?", "position": 14, "acceptedAnswer": { "@type": "Answer", "text": "Un mode de vie sain peut réduire l'expression de certains gènes liés à des maladies." } }, { "@type": "Question", "name": "Les conseils génétiques aident-ils à la prévention ?", "position": 15, "acceptedAnswer": { "@type": "Answer", "text": "Oui, ils fournissent des informations sur les risques et les options de prévention." } }, { "@type": "Question", "name": "Quels traitements existent pour les maladies génétiques ?", "position": 16, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements incluent la thérapie génique, les médicaments et la gestion des symptômes." } }, { "@type": "Question", "name": "La thérapie génique est-elle efficace ?", "position": 17, "acceptedAnswer": { "@type": "Answer", "text": "Elle peut être efficace pour certaines maladies, mais les résultats varient selon le cas." } }, { "@type": "Question", "name": "Quels médicaments ciblent les gènes vif ?", "position": 18, "acceptedAnswer": { "@type": "Answer", "text": "Des médicaments spécifiques peuvent cibler des voies métaboliques ou des protéines défectueuses." } }, { "@type": "Question", "name": "Les traitements sont-ils personnalisés ?", "position": 19, "acceptedAnswer": { "@type": "Answer", "text": "Oui, les traitements peuvent être adaptés en fonction du profil génétique du patient." } }, { "@type": "Question", "name": "Comment gérer les symptômes au quotidien ?", "position": 20, "acceptedAnswer": { "@type": "Answer", "text": "La gestion inclut des soins symptomatiques, une nutrition adaptée et un suivi médical régulier." } }, { "@type": "Question", "name": "Quelles complications peuvent survenir avec des gènes vif ?", "position": 21, "acceptedAnswer": { "@type": "Answer", "text": "Des complications incluent des maladies chroniques, des troubles métaboliques ou neurologiques." } }, { "@type": "Question", "name": "Les complications sont-elles réversibles ?", "position": 22, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être gérées, mais beaucoup ne sont pas réversibles." } }, { "@type": "Question", "name": "Comment les complications affectent-elles la qualité de vie ?", "position": 23, "acceptedAnswer": { "@type": "Answer", "text": "Elles peuvent réduire la qualité de vie en limitant les activités et en causant des douleurs." } }, { "@type": "Question", "name": "Les complications sont-elles prévisibles ?", "position": 24, "acceptedAnswer": { "@type": "Answer", "text": "Certaines complications peuvent être prédites par des tests génétiques et des antécédents familiaux." } }, { "@type": "Question", "name": "Quel suivi médical est nécessaire pour les complications ?", "position": 25, "acceptedAnswer": { "@type": "Answer", "text": "Un suivi régulier est essentiel pour surveiller et gérer les complications potentielles." } }, { "@type": "Question", "name": "Quels sont les facteurs de risque pour les maladies génétiques ?", "position": 26, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'hérédité, l'environnement et des mutations spontanées." } }, { "@type": "Question", "name": "L'âge des parents influence-t-il les risques ?", "position": 27, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'âge avancé des parents peut augmenter le risque de mutations génétiques." } }, { "@type": "Question", "name": "Les antécédents familiaux sont-ils un facteur de risque ?", "position": 28, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des antécédents familiaux de maladies génétiques augmentent le risque." } }, { "@type": "Question", "name": "L'exposition à des toxines influence-t-elle les gènes ?", "position": 29, "acceptedAnswer": { "@type": "Answer", "text": "Oui, l'exposition à certaines toxines peut provoquer des mutations et affecter les gènes." } }, { "@type": "Question", "name": "Le mode de vie peut-il affecter les risques génétiques ?", "position": 30, "acceptedAnswer": { "@type": "Answer", "text": "Oui, un mode de vie malsain peut exacerber les risques de maladies liées aux gènes." } } ] } ] }

Sources (10000 au total)

Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.

4D flow MRI enables assessment of cardiac function and intra-cardiac blood flow dynamics from a single acquisition. However, due to the poor contrast between the chambers and surrounding tissue, quant... We compared five deep learning-based approaches with different network structures, data pre-processing and feature fusion methods. For the data pre-processing, the 4D flow MRI data was reformatted int... Among the five models, the model combining 2D U-Net with late fusion method operating on short-axis reformatted 4D flow volumes achieved the best results with Dice of 84.52% and ASD of 3.14mm. The bes... Deep learning-based methods can achieve accurate automated LV segmentation and subsequent quantification of volumetric and hemodynamic LV parameters from 4D flow MRI without requiring an additional ci...

Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.

Infectious complications after colorectal cancer (CRC) surgery increase perioperative mortality and are significantly associated with poor prognosis. We aimed to develop a model for predicting infecti... The data of 512 elderly patients with colorectal cancer in the Third Affiliated Hospital of Anhui Medical University from March 2018 to April 2022 were retrospectively collected and randomly divided i... Five hundred twelve cases were included in this study; 125 cases (24%) had postoperative infectious complications. Postoperative infectious complications were notably associated with 10 items features... This study demonstrates for the first time that the MGA-XGBoost model with 10 risk factors might predict postoperative infectious complications in elderly CRC patients....

A deep learning model based on MRI for prediction of vessels encapsulating tumour clusters and prognosis in hepatocellular carcinoma.

This study aimed to build and evaluate a deep learning (DL) model to predict vessels encapsulating tumor clusters (VETC) and prognosis preoperatively in patients with hepatocellular carcinoma (HCC).... 320 pathologically confirmed HCC patients (58 women and 262 men) from two hospitals were included in this retrospective study. Institution 1 (n = 219) and Institution 2 (n = 101) served as the trainin... Among the 320 HCC patients, 227 were VETC- and 93 were VETC+ . In the external test cohort, the fusion model showed an AUC of 0.772, a sensitivity of 0.80, and a specificity of 0.61. The fusion model-... A DL framework based on ResNet-34 has demonstrated potential in facilitating non-invasive prediction of VETC as well as patient prognosis....

An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy.

To test the feasibility and accuracy of a new attention-based deep learning (DL) method for right ventricular (RV) quantification using 2D echocardiography (2DE) with cardiac magnetic resonance imagin... We retrospectively analyzed images from 50 adult patients (median age 51, interquartile range 32-62 42% women) who had undergone CMR within 1 month of 2DE. RV planimetry of the myocardial border was p... An attention-based DL method for 2DE RV quantification showed feasibility and promising accuracy. The method requires validation in larger cohorts with wider range of RV size and function. Further res...

Development and validation of a three-dimensional deep learning-based system for assessing bowel preparation on colonoscopy video.

The performance of existing image-based training models in evaluating bowel preparation on colonoscopy videos was relatively low, and only a few models used external data to prove their generalization... We proposed a system named ViENDO to assess the bowel preparation quality, including two CNNs. First, Information-Net was used to identify and filter out colonoscopy video frames unsuitable for Boston... In video clips, BBPS-Net for determining inadequate bowel preparation generated an area under the curve of up to 0.98 and accuracy of 95.2%. When applied to full-length withdrawal colonoscopy videos, ... The 3D-CNN-based AI model showed good performance in evaluating full-length bowel preparation on colonoscopy video. It has the potential as a substitute for endoscopists to provide BBPS-based assessme...