Diagnosis of Multiple Myeloma by Mass Spectrometry of
Peripheral Blood Plasma and Artificial Intelligence

k 2017

Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence

DEULOFEU FIGUERAS, Meritxell, Lenka KOLÁŘOVÁ, Victoria SALVADO, Eladia Maria PEÑA-MÉNDEZ, Pere BODAS-VAELLO et. al.

Basic information

Original name

Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence

Name (in English)

Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence

Authors

Edition

MSACL 2017 EU; The 4th Annual European Congress of The Association for Mass Spectrometry: Applications to the Clinical Lab. 2017

Other information

Type of outcome

Prezentace na konferencích

Confidentiality degree

není předmětem státního či obchodního tajemství

Změněno: 24/12/2017 10:56, Mgr. Ing. Lubomír Prokeš, Ph.D.

Abstract

ORIG EN

V originále

A fast and simple method for the diagnosis of multiple myeloma by the analysis of peripheral blood plasma mass spectra has been developed. It is based on recording the Matrix Assisted Laser Desorption Ionisation Time Of Flight (MALDI TOF) mass spectra of low mass metabolites/compounds (below 2000 Daltons) and the evaluation of these data using Artificial Neural Networks (ANNs). The method, which does not require the identification of biomarkers, has been verified using clinical database of myeloma positive and negative patients.

In English

Citovat

DEULOFEU FIGUERAS, Meritxell, Lenka KOLÁŘOVÁ, Victoria SALVADO, Eladia Maria PEÑA-MÉNDEZ, Pere BODAS-VAELLO, Luděk POUR, Sabina ŠEVČÍKOVÁ, Martina ALMÁŠI, Aleš HAMPL, Petr VAŇHARA and Josef HAVEL. Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence. In MSACL 2017 EU; The 4th Annual European Congress of The Association for Mass Spectrometry: Applications to the Clinical Lab. 2017.

@proceedings{1400360,
   author = {Deulofeu Figueras, Meritxell and Kolářová, Lenka and Salvado, Victoria and PeñaandMéndez, Eladia Maria and BodasandVaello, Pere and Pour, Luděk and Ševčíková, Sabina and Almáši, Martina and Hampl, Aleš and Vaňhara, Petr and Havel, Josef},
   booktitle = {MSACL 2017 EU; The 4th Annual European Congress of The Association for Mass Spectrometry: Applications to the Clinical Lab.},
   title = {Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence},
   year = {2017}
}

TY  - CONF
ID  - 1400360
AU  - Deulofeu Figueras, Meritxell - Kolářová, Lenka - Salvado, Victoria - Peña-Méndez, Eladia Maria - Bodas-Vaello, Pere - Pour, Luděk - Ševčíková, Sabina - Almáši, Martina - Hampl, Aleš - Vaňhara, Petr - Havel, Josef
PY  - 2017
TI  - Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence
N2  - A fast and simple method for the diagnosis of multiple myeloma by the analysis of peripheral blood plasma mass spectra has been developed. It is based on recording the Matrix Assisted Laser Desorption Ionisation Time Of Flight (MALDI TOF) mass spectra of low mass metabolites/compounds (below 2000 Daltons) and the evaluation of these data using Artificial Neural Networks (ANNs). The method, which does not require the identification of biomarkers, has been verified using clinical database of myeloma positive and negative patients.
ER  -

DEULOFEU FIGUERAS, Meritxell, Lenka KOLÁŘOVÁ, Victoria SALVADO, Eladia Maria PEÑA-MÉNDEZ, Pere BODAS-VAELLO, Luděk POUR, Sabina ŠEVČÍKOVÁ, Martina ALMÁŠI, Aleš HAMPL, Petr VAŇHARA and Josef HAVEL. Diagnosis of Multiple Myeloma by Mass Spectrometry of Peripheral Blood Plasma and Artificial Intelligence. In \textit{MSACL 2017 EU; The 4th Annual European Congress of The Association for Mass Spectrometry: Applications to the Clinical Lab.}. 2017.

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