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This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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Apr 11, 2026 - Rīga Stradiņš University
Irmejs, Arvīds; Loža, Pēteris; Maksimenko, Jeļena; Daneberga, Zanda; Liepiņa, Elza Elizabete; Čerņeikina, Anneta, 2026, "Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Clinical Data", https://doi.org/10.48510/FK2/AJIIVR, UNF:6:lYl2b0nqg1ects0ji1GdSg== [fileUNF]
The clinical data of retrospective cohort were collected to calculate Manchester score and CanRisk tool value for all breast and ovarian cancer cases. The NGS targeted panel including 9 genes was performed for samples with previously negative genetic testing results and available biological material. Pathogenicity of genetic variants were classifie...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 11, 2026 - Rīga Stradiņš University
Irmejs, Arvīds; Loža, Pēteris; Maksimenko, Jeļena; Daneberga, Zanda; Liepiņa, Elza Elizabete; Čerņeikina, Anneta, 2026, "Development of Genetic Testing Strategies for Hereditary Breast and Ovarian Cancer Risk Prediction by Analysis of Spectrum of Predisposing Mutations and Their Phenotypic Manifestations: Genetic Data", https://doi.org/10.48510/FK2/B4V921, UNF:6:gYwYsyBKvsICe/EutRp+rA== [fileUNF]
The NGS targeted panel including 9 genes was performed for samples with previously negative genetic testing results and available biological material. Pathogenicity of genetic variants were classified using a standardized framework developed by the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 11, 2026 - Rīga Stradiņš University
Augstkalne, Keita; Jermolenko, Greta Franceska; Blumberga, Madara; Syundyukov, Emil; Cesuna, Alina; Dubiņina, Evita; Balamovskis-Kalniņš, Klāvs; Semjonova, Guna, 2026, "Monitoring of physical activity habits of pediatric oncology patients using a digital approach with augmented reality-based interactive game elements", https://doi.org/10.48510/FK2/B7L3BO, UNF:6:+dO2jPJRaRP57XVP0eLYFA== [fileUNF]
Development and adaptation of a physical activity habit‑monitoring approach for pediatric oncology patients, together with validation data collected from pediatric patients. The primary objective is to validate the physical activity habit‑monitoring approach that will be used for physical activity and PREM data collection, through active engagement...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Adobe PDF
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Adobe PDF
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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