questionsmedicales.fr
Acides nucléiques, nucléotides et nucléosides
Nucléotides
Polynucléotides
Polyribonucléotides
Poly I
Poly I : Questions médicales fréquentes
Termes MeSH sélectionnés :
Diagnostic
5
Infections virales
Diagnostic médical
Poly I
Tests de laboratoire
Symptômes
Infections virales
Diagnostic médical
Infections
Poly I
Tests de laboratoire
Symptômes
5
Douleurs musculaires
Poly I
Symptômes respiratoires
Infections virales
Éruptions cutanées
Poly I
Évolution des symptômes
Traitement
Prévention
5
Prévention
Infections virales
Système immunitaire
Prévention
Traitements
5
Traitements antiviraux
Poly I
Antibiotiques
Infections virales
Complications
5
Complications
Infections secondaires
Maladies chroniques
Poly I
Réinfection
Infections virales
Suivi médical
Complications
Complications
État de santé
Facteurs de risque
5
Facteurs de risque
Système immunitaire
Stress
Système immunitaire
Maladies chroniques
Facteurs de risque
Exposition virale
Facteurs de risque
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Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale
Validation scientifique effectuée le 16/03/2026
Contenu vérifié selon les dernières recommandations médicales
2 publications dans cette catégorie
Affiliations :
Department of Materials Science & Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
Department of Plastic and Hand Surgery and Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital of Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
Institute of Polymer Materials, Department of Materials Science and Engineering, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.
KeyLab Advanced Fiber Technology, Bavarian Polymer Institute, Dr.-Mack-Strasse 77, 90762 Fürth, Germany.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
Institute of Polymer Materials, Department of Materials Science and Engineering, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91058 Erlangen, Germany.
KeyLab Advanced Fiber Technology, Bavarian Polymer Institute, Dr.-Mack-Strasse 77, 90762 Fürth, Germany.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
Department of Plastic and Hand Surgery and Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital of Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
Department of Plastic and Hand Surgery and Laboratory for Tissue Engineering and Regenerative Medicine, University Hospital of Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
State Key Laboratory of Pharmaceutical Biotechnology, Model Animal Research Center, Medical School of Nanjing University, Nanjing, China; and.
Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing, China.
Publications dans "Poly I" :
2 publications dans cette catégorie
Affiliations :
Department of Radiation Chemistry and Radiochemistry, Institute of Nuclear Science, National Autonomous University of Mexico, Mexico City 04510, Mexico.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Fachbereich Biologie, Chemie, Pharmazie, Institut für Chemie und Biochemie-Anorganische Chemie, Freie Universität Berlin, Fabeckstrasse 34/36, 14195, Berlin, Germany.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Fachbereich Biologie, Chemie, Pharmazie, Institut für Chemie und Biochemie-Anorganische Chemie, Freie Universität Berlin, Fabeckstrasse 34/36, 14195, Berlin, Germany.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Fachbereich Biologie, Chemie, Pharmazie, Institut für Chemie und Biochemie-Anorganische Chemie, Freie Universität Berlin, Fabeckstrasse 34/36, 14195, Berlin, Germany.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Fachbereich Biologie, Chemie, Pharmazie, Institut für Chemie und Biochemie-Anorganische Chemie, Freie Universität Berlin, Fabeckstrasse 34/36, 14195, Berlin, Germany.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Pharmaceutical Chemistry, School of Pharmacy, Sathyabama Institute of Science and Technology (Deemed to be University), Chennai, India.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Pharmaceutical Chemistry, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Ooty, Nilgiris, Tamil Nadu, India.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Materials, ETH Zürich, 8093 Zürich, Switzerland.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Materials, ETH Zürich, 8093 Zürich, Switzerland.
Publications dans "Poly I" :
1 publication dans cette catégorie
Affiliations :
Department of Materials, ETH Zürich, 8093 Zürich, Switzerland.
Publications dans "Poly I" :
Multi-view learning aims to make use of the advantages of different views to complement each other and fully mines the potential information in the data. However, the complexity of multi-view learning...
The divide-and-conquer strategy is a very effective method of dealing with big data. Noisy samples in big data usually have a great impact on algorithmic performance. In this article, we introduce Mar...
This study aimed to classifying wheat genotypes using support vector machines (SVMs) improved with ensemble algorithms and optimization techniques. Utilizing data from 302 wheat genotypes and 14 morph...
Multivoxel pattern analysis (MVPA) examines fMRI activation patterns associated with different cognitive conditions. Support vector machines (SVMs) are the predominant method in MVPA. While SVM is int...
We compared the two methods when they are applied to the same datasets. Two datasets were considered: (1) fMRI data collected from participants during a cued visual spatial attention task and (2) fMRI...
We found that (1) both SVM and CNN are able to achieve above-chance decoding accuracies for attention control and emotion processing in both the primary visual cortex and the whole brain, (2) the CNN ...
By comparing SVM and CNN we pointed out the similarities and differences between the two methods....
SVM and CNN rely on different neural features for classification. Applying both to the same data may yield a more comprehensive understanding of neuroimaging data....
Breast cancer is the most frequent type of cancer in women; however, early identification has reduced the mortality rate associated with the condition. Studies have demonstrated that the earlier this ...
The employment of college students is an important issue that affects national development and social stability. In recent years, the increase in the number of graduates, the pressure of employment, a...
Utilities face serious obstacles from power theft, which calls for creative ways to maintain income and improve operational effectiveness. This study presents a novel hybrid genetic artificial humming...
Cervical cancer is one of the most common malignant tumors among female gynecological diseases. This paper aims to explore the feasibility of utilizing serum Fourier Transform Infrared (FTIR) spectros...
Accurate inflow forecasting is an essential non-engineering strategy to guarantee flood management and boost the effectiveness of the water supply. As inflow is the primary reservoir input, precise in...
The station-level ridership during the peak hour is one of the key indicators for the design of station size and relevant facilities. However, with the operation of metro system, it cannot be ignored ...