Titre : Catéchine

Catéchine : Questions médicales fréquentes

Termes MeSH sélectionnés :

Problem-Based Learning
{ "@context": "https://schema.org", "@graph": [ { "@type": "MedicalWebPage", "name": "Catéchine : Questions médicales les plus fréquentes", "headline": "Catéchine : Comprendre les symptômes, diagnostics et traitements", "description": "Guide complet et accessible sur les Catéchine : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.", "datePublished": "2024-05-14", "dateModified": "2025-05-09", "inLanguage": "fr", "medicalAudience": [ { "@type": "MedicalAudience", "name": "Grand public", "audienceType": "Patient", "healthCondition": { "@type": "MedicalCondition", "name": "Catéchine" }, "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": "Flavonoïdes", "url": "https://questionsmedicales.fr/mesh/D005419", "about": { "@type": "MedicalCondition", "name": "Flavonoïdes", "code": { "@type": "MedicalCode", "code": "D005419", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "D03.633.100.150.266.450" } } }, "about": { "@type": "MedicalCondition", "name": "Catéchine", "alternateName": "Catechin", "code": { "@type": "MedicalCode", "code": "D002392", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Jae Sik Yu", "url": "https://questionsmedicales.fr/author/Jae%20Sik%20Yu", "affiliation": { "@type": "Organization", "name": "School of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea." } }, { "@type": "Person", "name": "Ki Hyun Kim", "url": "https://questionsmedicales.fr/author/Ki%20Hyun%20Kim", "affiliation": { "@type": "Organization", "name": "School of Pharmacy, Sungkyunkwan University, Suwon 16419, Korea." } }, { "@type": "Person", "name": "Masaharu Shin-Ya", "url": "https://questionsmedicales.fr/author/Masaharu%20Shin-Ya", "affiliation": { "@type": "Organization", "name": "Department of Immunology, Kyoto Prefectural University of Medicine, Kyoto, Japan." } }, { "@type": "Person", "name": "Eriko Ohgitani", "url": "https://questionsmedicales.fr/author/Eriko%20Ohgitani", "affiliation": { "@type": "Organization", "name": "Department of Immunology, Kyoto Prefectural University of Medicine, Kyoto, Japan." } }, { "@type": "Person", "name": "Masaya Kawamoto", "url": "https://questionsmedicales.fr/author/Masaya%20Kawamoto", "affiliation": { "@type": "Organization", "name": "Department of Immunology, Kyoto Prefectural University of Medicine, Kyoto, Japan." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Machine learning-based investigation of regulated cell death for predicting prognosis and immunotherapy response in glioma patients.", "datePublished": "2024-02-20", "url": "https://questionsmedicales.fr/article/38378721", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1038/s41598-024-54643-3" } }, { "@type": "ScholarlyArticle", "name": "A new cloud-based method for composition of healthcare services using deep reinforcement learning and Kalman filtering.", "datePublished": "2024-02-13", "url": "https://questionsmedicales.fr/article/38452470", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.compbiomed.2024.108152" } }, { "@type": "ScholarlyArticle", "name": "Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management.", "datePublished": "2024-02-13", "url": "https://questionsmedicales.fr/article/38899015", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1109/OJEMB.2024.3365290" } }, { "@type": "ScholarlyArticle", "name": "Identification of characteristic genes and herbal compounds for the treatment of psoriasis based on machine learning and molecular dynamics simulation.", "datePublished": "2024-02-12", "url": "https://questionsmedicales.fr/article/38344924", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1080/07391102.2024.2314752" } }, { "@type": "ScholarlyArticle", "name": "Classification of inertial sensor-based gait patterns of orthopaedic conditions using machine learning: A pilot study.", "datePublished": "2024-02-11", "url": "https://questionsmedicales.fr/article/38341759", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1002/jor.25797" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Composés hétérocycliques", "item": "https://questionsmedicales.fr/mesh/D006571" }, { "@type": "ListItem", "position": 3, "name": "Composés hétérocycliques à cycles fusionnés", "item": "https://questionsmedicales.fr/mesh/D000072471" }, { "@type": "ListItem", "position": 4, "name": "Composés hétérobicycliques", "item": "https://questionsmedicales.fr/mesh/D006574" }, { "@type": "ListItem", "position": 5, "name": "Benzopyranes", "item": "https://questionsmedicales.fr/mesh/D001578" }, { "@type": "ListItem", "position": 6, "name": "4H-1-Benzopyran-4-ones", "item": "https://questionsmedicales.fr/mesh/D002867" }, { "@type": "ListItem", "position": 7, "name": "Flavonoïdes", "item": "https://questionsmedicales.fr/mesh/D005419" }, { "@type": "ListItem", "position": 8, "name": "Catéchine", "item": "https://questionsmedicales.fr/mesh/D002392" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Catéchine - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Catéchine", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-05-12", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Diagnostic", "headline": "Diagnostic sur Catéchine", "description": "Comment mesurer les niveaux de catéchines dans le corps ?\nQuels tests sont utilisés pour évaluer l'impact des catéchines ?", "url": "https://questionsmedicales.fr/mesh/D002392?mesh_terms=Problem-Based+Learning&page=1000#section-diagnostic" }, { "@type": "MedicalWebPage", "name": "Symptômes", "headline": "Symptômes sur Catéchine", "description": "Quels sont les effets secondaires des catéchines ?\nLes catéchines provoquent-elles des allergies ?", "url": "https://questionsmedicales.fr/mesh/D002392?mesh_terms=Problem-Based+Learning&page=1000#section-symptômes" }, { "@type": "MedicalWebPage", "name": "Prévention", "headline": "Prévention sur Catéchine", "description": "Les catéchines aident-elles à prévenir les maladies cardiaques ?\nComment intégrer les catéchines dans l'alimentation ?", "url": "https://questionsmedicales.fr/mesh/D002392?mesh_terms=Problem-Based+Learning&page=1000#section-prévention" }, { "@type": "MedicalWebPage", "name": "Traitements", "headline": "Traitements sur Catéchine", "description": "Les catéchines peuvent-elles traiter des maladies ?\nComment les catéchines aident-elles à la perte de poids ?", "url": "https://questionsmedicales.fr/mesh/D002392?mesh_terms=Problem-Based+Learning&page=1000#section-traitements" }, { "@type": "MedicalWebPage", "name": "Complications", "headline": "Complications sur Catéchine", "description": "Les catéchines peuvent-elles interagir avec des médicaments ?\nQuels risques sont associés à une consommation excessive de catéchines ?", "url": "https://questionsmedicales.fr/mesh/D002392?mesh_terms=Problem-Based+Learning&page=1000#section-complications" }, { "@type": "MedicalWebPage", "name": "Facteurs de risque", "headline": "Facteurs de risque sur Catéchine", "description": "Qui devrait éviter les catéchines ?\nLes femmes enceintes peuvent-elles consommer des catéchines ?", "url": "https://questionsmedicales.fr/mesh/D002392?mesh_terms=Problem-Based+Learning&page=1000#section-facteurs de risque" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Comment mesurer les niveaux de catéchines dans le corps ?", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Les niveaux de catéchines peuvent être mesurés par des analyses sanguines ou urinaires." } }, { "@type": "Question", "name": "Quels tests sont utilisés pour évaluer l'impact des catéchines ?", "position": 2, "acceptedAnswer": { "@type": "Answer", "text": "Des tests cliniques et des études d'observation sont utilisés pour évaluer leur impact." } }, { "@type": "Question", "name": "Quels sont les effets secondaires des catéchines ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les effets secondaires peuvent inclure des maux d'estomac, des nausées ou des maux de tête." } }, { "@type": "Question", "name": "Les catéchines provoquent-elles des allergies ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Les allergies aux catéchines sont rares, mais peuvent survenir chez certaines personnes." } }, { "@type": "Question", "name": "Les catéchines aident-elles à prévenir les maladies cardiaques ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles peuvent réduire le risque de maladies cardiaques en améliorant la santé vasculaire." } }, { "@type": "Question", "name": "Comment intégrer les catéchines dans l'alimentation ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Consommer du thé vert, des fruits et des légumes riches en catéchines est recommandé." } }, { "@type": "Question", "name": "Les catéchines peuvent-elles traiter des maladies ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Elles sont étudiées pour leur potentiel dans le traitement de maladies comme le cancer." } }, { "@type": "Question", "name": "Comment les catéchines aident-elles à la perte de poids ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Elles peuvent augmenter le métabolisme et favoriser la combustion des graisses." } }, { "@type": "Question", "name": "Les catéchines peuvent-elles interagir avec des médicaments ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Oui, elles peuvent interagir avec certains médicaments, notamment les anticoagulants." } }, { "@type": "Question", "name": "Quels risques sont associés à une consommation excessive de catéchines ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Une consommation excessive peut entraîner des problèmes hépatiques ou des troubles digestifs." } }, { "@type": "Question", "name": "Qui devrait éviter les catéchines ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Les personnes ayant des problèmes hépatiques ou des allergies doivent être prudentes." } }, { "@type": "Question", "name": "Les femmes enceintes peuvent-elles consommer des catéchines ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Elles doivent consulter un médecin avant de consommer des catéchines en grande quantité." } } ] } ] }

Sources (10000 au total)

Self-Supervised Learning Improves Accuracy and Data Efficiency for IMU-Based Ground Reaction Force Estimation.

Recent deep learning techniques hold promise to enable IMU-driven kinetic assessment; however, they require large extents of ground reaction force (GRF) data to serve as labels for supervised model tr... We performed SSL by masking a random portion of the input IMU data and training a transformer model to reconstruct the masked portion. We systematically compared a series of masking ratios across thre... When using the same amount of labeled data, SSL pre-training significantly improved the accuracy of 3-axis GRF estimation during walking compared to baseline models trained by conventional supervised ... SSL leveraged large real and synthetic IMU datasets to increase the accuracy and data efficiency of deep-learning-based GRF estimation, reducing the need for labeled data.... This work, with its open-source code and models, may unlock broader use cases of IMU-driven kinetic assessment by mitigating the scarcity of GRF measurements in practical applications....

Application of machine learning-based multi-sequence MRI radiomics in diagnosing anterior cruciate ligament tears.

To compare the diagnostic power among various machine learning algorithms utilizing multi-sequence magnetic resonance imaging (MRI) radiomics in detecting anterior cruciate ligament (ACL) tears. Addit... In this retrospective analysis, 526 patients were included, comprising 178 individuals with ACL tears and 348 with a normal ACL. Radiomics features were derived from multi-sequence MRI scans, encompas... Out of 2032 features, 48 features were selected. The SVM-based multi-sequence radiomics outperformed all others, achieving AUC values of 0.973 and 0.927, sensitivities of 0.933 and 0.857, and specific... The multi-sequence MRI radiomics model, which is based on machine learning, exhibits exceptional performance in diagnosing ACL tears. It provides valuable insights crucial for the diagnosis and treatm...