Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård
Frigyesi, Attila LU ; Lengquist, Maria LU
; Johnsson, Patrik
LU
; Lybeck, Anna
LU
; Spångfors, Martin
LU
; Levin, Helena
LU
; Jakobsson, Andreas
LU
and Friberg, Hans
LU
(2023)
In Lakartidningen
120(42).
p.1-5
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/28a79e48-7d61-4133-966c-70c4dc1d35f1
- author
- Frigyesi, Attila
LU
; Lengquist, Maria
LU
; Johnsson, Patrik
LU
; Lybeck, Anna
LU
; Spångfors, Martin
LU
; Levin, Helena
LU
; Jakobsson, Andreas
LU
and Friberg, Hans
LU
- organization
-
- Intensive Care Epidemiology (research group)
- Anesthesiology and Intensive Care
- Anaesthesiology and Intensive Care Medicine (research group)
- Center for cardiac arrest (research group)
- SWECRIT (research group)
- LU Profile Area: Natural and Artificial Cognition
- LTH Profile Area: AI and Digitalization
- LTH Profile Area: Engineering Health
- eSSENCE: The e-Science Collaboration
- Biomedical Modelling and Computation (research group)
- Statistical Signal Processing Group (research group)
- alternative title
- The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge
- publishing date
- 2023-10-16
- type
- Contribution to specialist publication or newspaper
- publication status
- published
- subject
- in
- Lakartidningen
- volume
- 120
- issue
- 42
- pages
- 1 - 5
- publisher
- Swedish Medical Association
- external identifiers
-
- scopus:85175585033
- pmid:37846149
- ISSN
- 0023-7205
- language
- Swedish
- LU publication?
- yes
- id
- 28a79e48-7d61-4133-966c-70c4dc1d35f1
- alternative location
- https://lakartidningen.se/klinik-och-vetenskap-1/artiklar-1/vardutveckling-och-organisation/2023/10/provsamlingen-swecrit-och-ai-ger-ny-kunskap-vid-intensivvard/
- date added to LUP
- 2023-10-22 22:58:01
- date last changed
- 2024-04-24 02:54:26
@misc{28a79e48-7d61-4133-966c-70c4dc1d35f1,
abstract = {{<p>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.</p>}},
author = {{Frigyesi, Attila and Lengquist, Maria and Johnsson, Patrik and Lybeck, Anna and Spångfors, Martin and Levin, Helena and Jakobsson, Andreas and Friberg, Hans}},
issn = {{0023-7205}},
language = {{swe}},
month = {{10}},
number = {{42}},
pages = {{1--5}},
publisher = {{Swedish Medical Association}},
series = {{Lakartidningen}},
title = {{Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård}},
url = {{https://lakartidningen.se/klinik-och-vetenskap-1/artiklar-1/vardutveckling-och-organisation/2023/10/provsamlingen-swecrit-och-ai-ger-ny-kunskap-vid-intensivvard/}},
volume = {{120}},
year = {{2023}},
}