Applications of neural networks in biomedical data analysis

R Weiss, S Karimijafarbigloo, D Roggenbuck… - Biomedicines, 2022 - mdpi.com
Neural networks for deep-learning applications, also called artificial neural networks, are
important tools in science and industry. While their widespread use was limited because of …

[HTML][HTML] Targeting the DNA damage response in hematological malignancies

S De Mel, AR Lee, JHI Tan, RZY Tan, LM Poon… - Frontiers in …, 2024 - frontiersin.org
Deregulation of the DNA damage response (DDR) plays a critical role in the pathogenesis
and progression of many cancers. The dependency of certain cancers on DDR pathways …

[HTML][HTML] Classification of dead and living microalgae Chlorella vulgaris by bioimage informatics and machine learning

R Reimann, B Zeng, M Jakopec, M Burdukiewicz… - Algal research, 2020 - Elsevier
The ratio between living and dead cells is an important parameter in microalgae culture and
environmental monitoring. Fast, robust and automated analytical methods for monitoring …

Identification and validation of a DNA damage repair‐related signature for diffuse large B‐cell lymphoma

Y Li, X Liu, Y Chang, B Fan… - BioMed Research …, 2022 - Wiley Online Library
Background. Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐
Hodgkin's lymphoma in adults, whose prognostic scoring system remains to be improved …

[HTML][HTML] Open source bioimage informatics tools for the analysis of DNA damage and associated biomarkers

J Schneider, R Weiss, M Ruhe, T Jung… - … of Laboratory and …, 2019 - jlpm.amegroups.org
DNA double-strand breaks (DSBs) are critical cellular lesions that represent a high risk for
genetic instability. DSBs initiate repair mechanisms by recruiting sensor proteins and …

Involvement of classic and alternative non-homologous end joining pathways in hematologic malignancies: targeting strategies for treatment

M Valikhani, E Rahimian, SE Ahmadi… - … Hematology & Oncology, 2021 - Springer
Chromosomal translocations are the main etiological factor of hematologic malignancies.
These translocations are generally the consequence of aberrant DNA double-strand break …

Fully automated viability and toxicity screening—A reliable all‐in‐one attempt

V Liedtke, R Weiss, A Skifov, S Rödiger… - Cancer …, 2024 - Wiley Online Library
Abstract Background The CRISPR/Cas9 technology is nowadays a common tool for genome
editing to achieve new insights into, for example, diagnostics and therapeutics in cancer and …

[HTML][HTML] countfitteR: efficient selection of count distributions to assess DNA damage

J Chilimoniuk, A Gosiewska, J Słowik… - Annals of …, 2021 - ncbi.nlm.nih.gov
Background DNA double-strand breaks can be counted as discrete foci by imaging
techniques. In personalized medicine and pharmacology, the analysis of counting data is …

[PDF][PDF] Applications of Neural Networks in Biomedical Data Analysis. Biomedicines 2022, 10, 1469

R Weiss, S Karimijafarbigloo, D Roggenbuck… - 2022 - researchgate.net
Neural networks for deep-learning applications, also called artificial neural networks, are
important tools in science and industry. While their widespread use was limited because of …

Entwicklung nukleinsäurebasierter Diagnostika unter Berücksichtigung moderner Signalverstärkungs-und Rapid-Prototyping-Technologien

C Jurischka - 2022 - opus4.kobv.de
Die Entwicklung und Optimierung bioanalytischer Testsysteme erfordert zunehmend
innovative und effiziente Strategien, um insbesondere den steigenden individuellen …