Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård

Attila Frigyesi; Maria Lengquist; Patrik Johnsson; Anna Lybeck; Martin Spångfors; Helena Levin; Andreas Jakobsson; Hans Friberg

Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård

Translated title of the contribution: The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge

Attila Frigyesi, Maria Lengquist, Patrik Johnsson, Anna Lybeck, Martin Spångfors, Helena Levin, Andreas Jakobsson, Hans Friberg

Research output: Contribution to specialist publication or newspaper › Specialist publication article › Research

Abstract

The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, trauma, and COVID-19 include more than 150,000 blood samples and descriptions of critically ill patients. These assets provide a unique opportunity to research and improve the care of the most seriously ill patients through biomarker analyses, proteomic studies, and genetic and epigenetic studies using modern machine learning techniques (artificial intelligence). Interested researchers are invited to submit their proposals and participate.

Translated title of the contribution	The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge
Original language	Swedish
Pages	1-5
Volume	120
No.	42
Specialist publication	Lakartidningen
Publication status	Published - 2023 Oct 16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Subject classification (UKÄ)

Anesthesiology and Intensive Care

Access to Document

https://lakartidningen.se/klinik-och-vetenskap-1/artiklar-1/vardutveckling-och-organisation/2023/10/provsamlingen-swecrit-och-ai-ger-ny-kunskap-vid-intensivvard/Licence: Unspecified

Cite this

Frigyesi, A., Lengquist, M., Johnsson, P., Lybeck, A., Spångfors, M., Levin, H., Jakobsson, A., & Friberg, H. (2023). Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård. Lakartidningen, 120(42), 1-5. https://lakartidningen.se/klinik-och-vetenskap-1/artiklar-1/vardutveckling-och-organisation/2023/10/provsamlingen-swecrit-och-ai-ger-ny-kunskap-vid-intensivvard/

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title = "Provsamlingen Swecrit och AI ger ny kunskap vid intensivv{\aa}rd",

abstract = "The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, trauma, and COVID-19 include more than 150,000 blood samples and descriptions of critically ill patients. These assets provide a unique opportunity to research and improve the care of the most seriously ill patients through biomarker analyses, proteomic studies, and genetic and epigenetic studies using modern machine learning techniques (artificial intelligence). Interested researchers are invited to submit their proposals and participate.",

author = "Attila Frigyesi and Maria Lengquist and Patrik Johnsson and Anna Lybeck and Martin Sp{\aa}ngfors and Helena Levin and Andreas Jakobsson and Hans Friberg",

year = "2023",

month = oct,

day = "16",

language = "svenska",

volume = "120",

pages = "1--5",

journal = "Lakartidningen",

issn = "0023-7205",

publisher = "Swedish Medical Association",

}

Frigyesi, A , Lengquist, M , Johnsson, P , Lybeck, A , Spångfors, M , Levin, H , Jakobsson, A & Friberg, H 2023, 'Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård' Lakartidningen, vol. 120, no. 42, pp. 1-5. <https://lakartidningen.se/klinik-och-vetenskap-1/artiklar-1/vardutveckling-och-organisation/2023/10/provsamlingen-swecrit-och-ai-ger-ny-kunskap-vid-intensivvard/>

TY - GEN

T1 - Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård

AU - Frigyesi, Attila

AU - Lengquist, Maria

AU - Johnsson, Patrik

AU - Lybeck, Anna

AU - Spångfors, Martin

AU - Levin, Helena

AU - Jakobsson, Andreas

AU - Friberg, Hans

PY - 2023/10/16

Y1 - 2023/10/16

N2 - The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, trauma, and COVID-19 include more than 150,000 blood samples and descriptions of critically ill patients. These assets provide a unique opportunity to research and improve the care of the most seriously ill patients through biomarker analyses, proteomic studies, and genetic and epigenetic studies using modern machine learning techniques (artificial intelligence). Interested researchers are invited to submit their proposals and participate.

AB - The unique Swecrit Biobank and its associated clinical registries for sepsis, ARDS, cardiac arrest, trauma, and COVID-19 include more than 150,000 blood samples and descriptions of critically ill patients. These assets provide a unique opportunity to research and improve the care of the most seriously ill patients through biomarker analyses, proteomic studies, and genetic and epigenetic studies using modern machine learning techniques (artificial intelligence). Interested researchers are invited to submit their proposals and participate.

UR - https://www.scopus.com/pages/publications/85175585033

M3 - Artikel i facktidskrift eller populärpress

C2 - 37846149

SN - 0023-7205

VL - 120

SP - 1

EP - 5

JO - Lakartidningen

JF - Lakartidningen

ER -

Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård

Abstract

UN SDGs

Subject classification (UKÄ)

Access to Document

Other files and links

Fingerprint

Statistical Signal Processing Group

Cite this

Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård

Abstract

UN SDGs

Subject classification (UKÄ)

Access to Document

Other files and links

Fingerprint

Projects

Statistical Signal Processing Group

Cite this