Search results for: Genetic testing

• GENETIC TESTING

  Journals

  ISSN: 1090-6576

• Genetic Testing and Molecular Biomarkers

  Journals

  ISSN: 1945-0265 , eISSN: 1945-0257

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016637311]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016633901]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016639861]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016632401]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016639661]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Uczenie maszynowe do samoorganizacji systemów rozproszonych w zastosowaniach gospodarczych

  Publication

  • J. Balicki
  • W. Korłub

  - Współczesna Gospodarka - Year 2017

  W pracy omówiono uczenie maszynowe do samoorganizacji systemów rozproszonych w zastosowaniach gospodarczych ze szczególnym uwzględnieniem sieci neuronowych do predykcji finansowych oraz szacowania ratingu przedsiębiorstw. Oprócz sieci neuronowych, istotną rolę w przygotowaniu i testowaniu informatycznych systemów finansowych może pełnić programowanie genetyczne. Z tego powodu omówiono uczenie maszynowe w aplikacjach konstruowanych...

  Full text available to download

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016634721]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016639971]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016632951]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016632511]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016632461]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016635621]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016635201]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016639051]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016639551]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3290730016637461]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• T-cell lymphoma, NOS - Unknown, 74 - Tissue image [3300730069442961]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of LYMPH NODES tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Ultra-rare ultra-care: The unique burden of ultra rare disease caregiving

  Publication

  • J. Domaradzki
  • D. Walkowiak

  - EUROPEAN JOURNAL OF PAEDIATRIC NEUROLOGY - Year 2023

  Background: We sought to assesses the impact of caring for children with ultra rare diseases (URDs) on familycarers and to analyse the way these experiences differ among the caregivers of children diagnosed throughprenatal or newborn screening, and those with symptom-based diagnosis.Methods: A total of 200 caregivers of 219 URDs children completed an on-line survey regarding the challengesand experiences...

  Full text available to download

• Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan

  Publication

  • T. Korol
  • A. Fotiadis

  - Oeconomia Copernicana - Year 2022

  Research background: The global financial crisis from 2007 to 2012, the COVID-19 pandemic, and the current war in Ukraine have dramatically increased the risk of consumer bankruptcies worldwide. All three crises negatively impact the financial situation of households due to increased interest rates, inflation rates, volatile exchange rates, and other significant macroeconomic factors. Financial difficulties may arise when the...

  Full text available to download

• Testing Stability of Digital Filters Using Optimization Methods with Phase Analysis

  Publication

  • D. Trofimowicz
  • T. Stefański

  - ENERGIES - Year 2021

  In this paper, novel methods for the evaluation of digital-filter stability are investigated. The methods are based on phase analysis of a complex function in the characteristic equation of a digital filter. It allows for evaluating stability when a characteristic equation is not based on a polynomial. The operation of these methods relies on sampling the unit circle on the complex plane and extracting the phase quadrant of a function...

  Full text available to download

• Novel Tools for Comprehensive Functional Analysis of LDLR (Low-Density Lipoprotein Receptor) Variants

  Publication

  • J. Jasiecki
  • M. Targońska
  • A. Janaszak-Jasiecka
  • M. Chmara
  • M. Żuk
  • L. Kalinowski
  • K. Waleron
  • B. Wasąg

  - INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES - Year 2023

  Familial hypercholesterolemia (FH) is an autosomal-dominant disorder caused mainly by substitutions in the low-density lipoprotein receptor (LDLR) gene, leading to an increased risk of premature cardiovascular diseases. Tremendous advances in sequencing techniques have resulted in the discovery of more than 3000 variants of the LDLR gene, but not all of them are clinically relevant. Therefore, functional studies of selected variants...

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• Fuzyjne polimerazy DNA – otrzymywanie, charakterystyka i zastosowanie

  Publication

  • M. Skwarecka

  - Year 2018

  Obecnie reakcje PCR (ang. Polymerase Chain Reaction) wykazują bardzo szerokie zastosowanie w diagnostyce medycznej, biologii molekularnej czy inżynierii genetycznej. Efektywność tych reakcji rozumiana jako wydajność i wierność przeprowadzonej amplifikacji jest nieodłącznie związana ze stosowaną polimerazą DNA i warunkami prowadzenia reakcji PCR. Aby sprostać wymaganiom stawianym przez nowoczesne metody diagnostyczne oraz współczesną...

  Full text available to download