![Electric impedance tomography and protective mechanical ventilation in elective robotic-assisted laparoscopy surgery with steep Trendelenburg position: a randomized controlled study | Scientific Reports Electric impedance tomography and protective mechanical ventilation in elective robotic-assisted laparoscopy surgery with steep Trendelenburg position: a randomized controlled study | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-023-29860-x/MediaObjects/41598_2023_29860_Fig1_HTML.png)
Electric impedance tomography and protective mechanical ventilation in elective robotic-assisted laparoscopy surgery with steep Trendelenburg position: a randomized controlled study | Scientific Reports
![The COVID-19 puzzle: deciphering pathophysiology and phenotypes of a new disease entity - The Lancet Respiratory Medicine The COVID-19 puzzle: deciphering pathophysiology and phenotypes of a new disease entity - The Lancet Respiratory Medicine](https://www.thelancet.com/cms/asset/cc701e18-f412-4e02-bde7-57fe8cff6720/gr1.jpg)
The COVID-19 puzzle: deciphering pathophysiology and phenotypes of a new disease entity - The Lancet Respiratory Medicine
![Combi-Ventilate – turning one ventilator into multiple engineered ventilation stations | 2020-05-01 | The National Provisioner Combi-Ventilate – turning one ventilator into multiple engineered ventilation stations | 2020-05-01 | The National Provisioner](https://www.provisioneronline.com/ext/resources/Supplier_News/2020/Combi-Ventilate_resize-1536x876.jpg?1588347811)
Combi-Ventilate – turning one ventilator into multiple engineered ventilation stations | 2020-05-01 | The National Provisioner
![Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data - The Lancet Digital Health Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data - The Lancet Digital Health](https://www.thelancet.com/cms/asset/c44eccbc-cfea-4ec3-8a45-89f4c86130a4/gr1.jpg)
Recurrent neural network models (CovRNN) for predicting outcomes of patients with COVID-19 on admission to hospital: model development and validation using electronic health record data - The Lancet Digital Health
![Brain Sciences | Free Full-Text | Patient Machine Interface for the Control of Mechanical Ventilation Devices Brain Sciences | Free Full-Text | Patient Machine Interface for the Control of Mechanical Ventilation Devices](https://pub.mdpi-res.com/brainsci/brainsci-03-01554/article_deploy/html/images/brainsci-03-01554-g002.png?1416387105)
Brain Sciences | Free Full-Text | Patient Machine Interface for the Control of Mechanical Ventilation Devices
![The time-controlled adaptive ventilation protocol: mechanistic approach to reducing ventilator-induced lung injury | European Respiratory Society The time-controlled adaptive ventilation protocol: mechanistic approach to reducing ventilator-induced lung injury | European Respiratory Society](https://err.ersjournals.com/sites/default/files/highwire/errev/28/152.cover-source.jpg)
The time-controlled adaptive ventilation protocol: mechanistic approach to reducing ventilator-induced lung injury | European Respiratory Society
![Campylobacter jejuni and Postinfectious Autoimmune Diseases: A Proof of Concept in Glycobiology | ACS Infectious Diseases Campylobacter jejuni and Postinfectious Autoimmune Diseases: A Proof of Concept in Glycobiology | ACS Infectious Diseases](https://pubs.acs.org/cms/10.1021/acsinfecdis.2c00397/asset/images/large/id2c00397_0001.jpeg)