From Personalized Medicine to Precision Psychiatry?

J 2021

From Personalized Medicine to Precision Psychiatry?

ČEŠKOVÁ, Eva a Petr SILHAN

Základní údaje

Originální název

From Personalized Medicine to Precision Psychiatry?

Autoři

ČEŠKOVÁ, Eva (203 Česká republika, domácí) a Petr SILHAN (203 Česká republika, garant)

Vydání

Neuropsychiatric Disease and Treatment, New Zealand, Dove Medical Press, 2021, 1178-2021

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

30215 Psychiatry

Stát vydavatele

Nový Zéland

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.989

Kód RIV

RIV/00216224:14110/21:00123927

Organizační jednotka

Lékařská fakulta

DOI

http://dx.doi.org/10.2147/NDT.S337814

UT WoS

000731738200005

Klíčová slova anglicky

personalised medicine; personalised psychiatr; precision medicine; precision psychiatry

Štítky

14110222, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 4. 3. 2022 09:52, Mgr. Tereza Miškechová

Anotace

V originále

Personalised medicine aims to find an individualized approach for each particular patient. Most factors used in current psychiatry, however, depend on the assessment made by the individual clinician and lack a higher degree of reliability. Precision medicine bases decisions on quantifiable indicators available thanks to the tremendous progress in science and technology facilitating the acquisition, processing and analysis of huge amounts of data. So far, psychiatry has not been benefiting enough from the advanced diagnostic technologies; nevertheless, we are witnessing the dawn of the era of precision psychiatry, starting with the gathering of sufficient amounts of data and its analysis by the means of artificial intelligence and machine learning. First results of this approach in psychiatry are available, which facilitate diagnosis assessment, course prediction, and appropriate treatment choice. These processes are often so complex and difficult to understand that they may resemble a "black box", which can slow down the acceptance of the results of this approach in clinical practice. Still, bringing precision medicine including psychiatry to standard clinical practice is a big challenge that can result in a completely new and transformative concept of health care. Such extensive changes naturally have both their supporters and opponents. This paper aims to familiarize clinically oriented physicians with precision psychiatry and to attract their atten-tion to its recent developments. We cover the theoretical basis of precision medicine, its specifics in psychiatry, and provide examples of its use in the field of diagnostic assessment, course prediction, and appropriate treatment planning.

Citovat

ČEŠKOVÁ, Eva a Petr SILHAN. From Personalized Medicine to Precision Psychiatry? Neuropsychiatric Disease and Treatment. New Zealand: Dove Medical Press, 2021, roč. 17, č. 2021, s. 3663-3668. ISSN 1178-2021. Dostupné z: https://dx.doi.org/10.2147/NDT.S337814.

@article{1826392,
   author = {Češková, Eva and Silhan, Petr},
   article_location = {New Zealand},
   article_number = {2021},
   doi = {http://dx.doi.org/10.2147/NDT.S337814},
   keywords = {personalised medicine; personalised psychiatr; precision medicine; precision psychiatry},
   language = {eng},
   issn = {1178-2021},
   journal = {Neuropsychiatric Disease and Treatment},
   title = {From Personalized Medicine to Precision Psychiatry?},
   url = {https://www.dovepress.com/from-personalized-medicine-to-precision-psychiatry-peer-reviewed-fulltext-article-NDT},
   volume = {17},
   year = {2021}
}

TY  - JOUR
ID  - 1826392
AU  - Češková, Eva - Silhan, Petr
PY  - 2021
TI  - From Personalized Medicine to Precision Psychiatry?
JF  - Neuropsychiatric Disease and Treatment
VL  - 17
IS  - 2021
SP  - 3663-3668
EP  - 3663-3668
PB  - Dove Medical Press
SN  - 11782021
KW  - personalised medicine
KW  - personalised psychiatr
KW  - precision medicine
KW  - precision psychiatry
UR  - https://www.dovepress.com/from-personalized-medicine-to-precision-psychiatry-peer-reviewed-fulltext-article-NDT
N2  - Personalised medicine aims to find an individualized approach for each particular patient. Most factors used in current psychiatry, however, depend on the assessment made by the individual clinician and lack a higher degree of reliability. Precision medicine bases decisions on quantifiable indicators available thanks to the tremendous progress in science and technology facilitating the acquisition, processing and analysis of huge amounts of data. So far, psychiatry has not been benefiting enough from the advanced diagnostic technologies; nevertheless, we are witnessing the dawn of the era of precision psychiatry, starting with the gathering of sufficient amounts of data and its analysis by the means of artificial intelligence and machine learning. First results of this approach in psychiatry are available, which facilitate diagnosis assessment, course prediction, and appropriate treatment choice. These processes are often so complex and difficult to understand that they may resemble a "black box", which can slow down the acceptance of the results of this approach in clinical practice. Still, bringing precision medicine including psychiatry to standard clinical practice is a big challenge that can result in a completely new and transformative concept of health care. Such extensive changes naturally have both their supporters and opponents. This paper aims to familiarize clinically oriented physicians with precision psychiatry and to attract their atten-tion to its recent developments. We cover the theoretical basis of precision medicine, its specifics in psychiatry, and provide examples of its use in the field of diagnostic assessment, course prediction, and appropriate treatment planning.
ER  -

ČEŠKOVÁ, Eva a Petr SILHAN. From Personalized Medicine to Precision Psychiatry? \textit{Neuropsychiatric Disease and Treatment}. New Zealand: Dove Medical Press, 2021, roč.~17, č.~2021, s.~3663-3668. ISSN~1178-2021. Dostupné z: https://dx.doi.org/10.2147/NDT.S337814.

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