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Title:A roadmap of therapeutic strategies for patients with multiple myeloma
Authors:ID Snijder, Berend (Author)
ID Kropivšek, Klara (Author)
Files:URL https://www.nature.com/articles/s43018-023-00545-8.pdf
 
URL https://www.nature.com/articles/s43018-023-00545-8
 
URL https://www.nature.com/articles/s43018-023-00545-8.pdf
 
Language:English
Work type:Unknown
Typology:1.03 - Other scientific articles
Organization:UNG - University of Nova Gorica
Abstract:Multiple myeloma is a rare and incurable cancer of plasma cells. To characterize this cancer, we developed an ex vivo drug screening method that combines imaging, deep learning and multiomics and applied it in an observational trial, uncovering new potential therapeutic strategies and underlying disease mechanisms.
Keywords:multiple myeloma, multiomics, deep learning, imaging, ex vivo drug screening
Publication date:01.05.2023
Year of publishing:2023
Number of pages:str. 594-595
Numbering:Vol. 4, no. 5
COBISS.SI-ID:214566659 New window
UDC:616-006
ISSN on article:2662-1347
eISSN:2662-1347
DOI:https://doi.org/10.1038/s43018-023-00545-8 New window
NUK URN:URN:SI:UNG:REP:BNMKNNXQ
Publication date in RUNG:11.11.2024
Views:66
Downloads:0
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Record is a part of a journal

Title:Nature cancer
Shortened title:Nat. cancer
Publisher:Nature Research
ISSN:2662-1347
COBISS.SI-ID:175636227 New window

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Licensing start date:20.04.2023

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Description:https://www.springernature.com/gp/researchers/text-and-data-mining
Licensing start date:20.04.2023

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