Mette Jørgensen

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 6

Top Topics

Machine Learning

Extracorporeal Membrane Oxygenation

Respiratory Failure

Allogeneic Hematopoietic Stem Cell Transplantation

Top Venues

Nature communications

International journal of molecular sciences

This page only lists publications with an associated author ORCID identifier.

Publications

Mette Jørgensen, Jens C Nørgaard, Emma Elizabeth Ilett, Ramtin Z Marandi, Marc Noguera-Julian, Roger Paredes, Daniel D Murray, Jens Lundgren, Cameron Ross MacPherson, Henrik Sengeløv
Metabolic Potential of the Gut Microbiome Is Significantly Impacted by Conditioning Regimen in Allogeneic Hematopoietic Stem Cell Transplantation Recipients. International journal of molecular sciences 23 (19) (2022)
Ramtin Z Marandi, Mette Jørgensen, Emma Elizabeth Ilett, Jens Christian Nørgaard, Marc Noguera-Julian, Roger Paredes, Jens D Lundgren, Henrik Sengeløv, Cameron Ross MacPherson
Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome. Cells 11 (24) (2022)
Ramtin Z Marandi, Mette Jørgensen, Emma Elizabeth Ilett, Jens Christian Nørgaard, Marc Noguera-Julian, Roger Paredes, Jens D Lundgren, Henrik Sengeløv, Cameron Ross MacPherson
Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome. Cells 11 (24) (2022)
Ramtin Z Marandi, Mette Jørgensen, Emma Elizabeth Ilett, Jens Christian Nørgaard, Marc Noguera-Julian, Roger Paredes, Jens D Lundgren, Henrik Sengeløv, Cameron Ross MacPherson
Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome. Cells 11 (24) (2022)
Ramtin Z Marandi, Mette Jørgensen, Emma Elizabeth Ilett, Jens Christian Nørgaard, Marc Noguera-Julian, Roger Paredes, Jens D Lundgren, Henrik Sengeløv, Cameron Ross MacPherson
Pre-Transplant Prediction of Acute Graft-versus-Host Disease Using the Gut Microbiome. Cells 11 (24) (2022)
Rudi Agius, Christian Brieghel, Michael Asger Andersen, Alexander T Pearson, Bruno Ledergerber, Alessandro Cozzi-Lepri, Yoram Louzoun, Christen L Andersen, Jacob Bergstedt, Jakob H von Stemann, Mette Jørgensen, Man-Hung Eric Tang, Magnus Fontes, Jasmin Bahlo, Carmen D Herling, Michael Hallek, Jens Dilling Lundgren, Cameron Ross MacPherson, Jan Larsen, Carsten Utoft Niemann
Machine learning can identify newly diagnosed patients with CLL at high risk of infection. Nature communications 11 (1) (2020)