Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

This work was supported by German Federal Ministry of Education and Research, (BMBF) grant IDs: 01ZX1304B, 01ZX1604B, 01ZX1906A, 01ZX1906B, 01KI2124, 01IS18026B and German Research Foundation (DFG) grant IDs: 14933180, 431232613.

Authors

Institutions

Publication Details

Journal
EBioMedicine
Published
2024-09-23
DOI
https://doi.org/10.1016/j.ebiom.2024.105312
Citations
3
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
1.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

Jakob Trimpert, Christine Goffinet, Dylan Postmus, Geraldine Nouailles et al.
3 citations
EBioMedicine
COVID-19 diagnosis using AI
1.21
article

Neural network-assisted humanisation of COVID-19 hamster transcriptomic data reveals matching severity states in human disease

Jakob Trimpert, Christine Goffinet, Dylan Postmus, Geraldine Nouailles, Daria Vladimirova, Luiz Gustavo Teixeira Alves, Markus Landthaler, Holger Kirsten, Kristina Müller, Vincent D. Friedrich, Julia M. Adler, Cengiz Goekeri, Peter Pennitz, Markus Scholz, Emanuel Wyler, Julia Prigann, Martin Witzenrath, Antoine-Emmanuel Saliba, Thomas Hoefler, Fabian Pott
article en
3 citations

Abstract

This work was supported by German Federal Ministry of Education and Research, (BMBF) grant IDs: 01ZX1304B, 01ZX1604B, 01ZX1906A, 01ZX1906B, 01KI2124, 01IS18026B and German Research Foundation (DFG) grant IDs: 14933180, 431232613.

EBioMedicineVol. 108
Leipzig University of Applied Sciences (DE), Max Delbrück Center (DE), Humboldt-Universität zu Berlin (DE), Helmholtz Institute for RNA-based Infection Research (DE), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), Freie Universität Berlin (DE), Charité - Universitätsmedizin Berlin (DE), Leipzig University (DE)
Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Sächsisches Staatsministerium für Wissenschaft und Kunst
Openalex Percentile: Top 20%
COVID-19 diagnosis using AI
1.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.