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Early Detection of disease recurrence in follow up of breast cancer patients using mathematical models implemented as CRACTES

SYSNO ASEP	0506803
Document Type	A - Abstract
R&D Document Type	The record was not marked in the RIV
R&D Document Type	Není vybrán druh dokumentu
Title	Early Detection of disease recurrence in follow up of breast cancer patients using mathematical models implemented as CRACTES
Author(s)	Pecen, Ladislav (UIVT-O)_{RID, SAI, ORCID} Topolčan, O. (CZ) Kučera, R. (CZ) Novák, J. (CZ) Jiřina jr., M. (CZ) Eben, Kryštof (UIVT-O)_{SAI, RID, ORCID}
Source Title	New Zealand Breast Cancer Symposium 2017. Abstracts Book. - Auckland, 2017 - ISBN 978-1-927184-46-2
Number of pages	2 s.
Action	NZBCS 2017. New Zealand Breast Cancer Symposium
Event date	12.11.2017 - 14.11.2017
VEvent location	Auckland
Country	NZ - New Zealand
Event type	WRD
Language	eng - English
Country	NZ - New Zealand
Keywords	breast cancer ; mathematical model ; early detection of recurrence
Annotation	The main task for which the software CRACTES is useful, is early diagnosis of the recurrence of tumour illness and the most probable location of distant metastasis. The examination of markers may be a warning signal, but due to non-specific reasons, it also may be a false alarm.
Workplace	Institute of Computer Science
Contact	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Year of Publishing	2020

Number of the records: 1