The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:120 |
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| Enthalten in: |
Lakartidningen - 120(2023) vom: 16. Okt. |
| Sprache: |
Schwedisch |
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| Weiterer Titel: |
Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård |
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| Beteiligte Personen: |
Frigyesi, Attila [VerfasserIn] |
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| Themen: |
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| Anmerkungen: |
Date Completed 01.11.2023 Date Revised 03.11.2023 published: Electronic Citation Status MEDLINE |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM363387331 |
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| 100 | 1 | |a Frigyesi, Attila |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The Swecrit Biobank, associated clinical registries, and machine learning (artificial intelligence) improve critical care knowledge |
| 246 | 3 | 3 | |a Provsamlingen Swecrit och AI ger ny kunskap vid intensivvård |
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| 500 | |a Date Completed 01.11.2023 | ||
| 500 | |a Date Revised 03.11.2023 | ||
| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a 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 | ||
| 650 | 4 | |a English Abstract | |
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Lengquist, Maria |e verfasserin |4 aut | |
| 700 | 1 | |a Johnsson, Patrik |e verfasserin |4 aut | |
| 700 | 1 | |a Lybeck, Anna |e verfasserin |4 aut | |
| 700 | 1 | |a Spångfors, Martin |e verfasserin |4 aut | |
| 700 | 1 | |a Helena, Levin |e verfasserin |4 aut | |
| 700 | 1 | |a Jakobsson, Andreas |e verfasserin |4 aut | |
| 700 | 1 | |a Friberg, Hans |e verfasserin |4 aut | |
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