![Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care | npj Digital Medicine Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care | npj Digital Medicine](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41746-021-00388-6/MediaObjects/41746_2021_388_Fig1_HTML.png)
Development and validation of a reinforcement learning algorithm to dynamically optimize mechanical ventilation in critical care | npj Digital Medicine
Computational simulation to assess patient safety of uncompensated COVID-19 two-patient ventilator sharing using the Pulse Physiology Engine | PLOS ONE
![Conventional oxygen therapy versus CPAP as a ceiling of care in ward-based patients with COVID-19: a multi-centre cohort evaluation. - eClinicalMedicine Conventional oxygen therapy versus CPAP as a ceiling of care in ward-based patients with COVID-19: a multi-centre cohort evaluation. - eClinicalMedicine](https://www.thelancet.com/cms/asset/0104f97a-af86-4b29-aa7f-302af7d2e843/gr1.jpg)
Conventional oxygen therapy versus CPAP as a ceiling of care in ward-based patients with COVID-19: a multi-centre cohort evaluation. - eClinicalMedicine
![Bubble CPAP splitting: innovative strategy in resource-limited settings | Archives of Disease in Childhood Bubble CPAP splitting: innovative strategy in resource-limited settings | Archives of Disease in Childhood](https://adc.bmj.com/content/archdischild/106/2/137/F4.large.jpg)
Bubble CPAP splitting: innovative strategy in resource-limited settings | Archives of Disease in Childhood
![Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients | Scientific Reports Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-022-10136-9/MediaObjects/41598_2022_10136_Fig1_HTML.png)
Deep learning of chest X-rays can predict mechanical ventilation outcome in ICU-admitted COVID-19 patients | Scientific Reports
![A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine](https://www.thelancet.com/cms/asset/633972d6-9ddc-4747-9d81-703878ae9f94/gr1.jpg)
A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
![Ventilator splitting and monitoring — Advanced Prosthodontics and Weintraub Center for Reconstructive Biotechnology, UCLA School of Dentistry Ventilator splitting and monitoring — Advanced Prosthodontics and Weintraub Center for Reconstructive Biotechnology, UCLA School of Dentistry](https://images.squarespace-cdn.com/content/v1/5b88f1d789c1720d99149a2e/1586245156774-GZF3BWN3ULWN2SCBBNWS/ventilator+1.jpg)
Ventilator splitting and monitoring — Advanced Prosthodontics and Weintraub Center for Reconstructive Biotechnology, UCLA School of Dentistry
![Strategies to Inform Allocation of Stockpiled Ventilators to Healthcare Facilities During a Pandemic | Health Security Strategies to Inform Allocation of Stockpiled Ventilators to Healthcare Facilities During a Pandemic | Health Security](https://www.liebertpub.com/cms/10.1089/hs.2020.0028/asset/images/medium/hs.2020.0028_figure2.jpg)
Strategies to Inform Allocation of Stockpiled Ventilators to Healthcare Facilities During a Pandemic | Health Security
![Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept | Scientific Reports Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-020-69433-w/MediaObjects/41598_2020_69433_Fig1_HTML.png)
Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept | Scientific Reports
![Use of a Single Ventilator to Support 4 Patients: Laboratory Evaluation of a Limited Concept | Respiratory Care Use of a Single Ventilator to Support 4 Patients: Laboratory Evaluation of a Limited Concept | Respiratory Care](https://rc.rcjournal.com/content/respcare/57/3/399/F1.large.jpg)
Use of a Single Ventilator to Support 4 Patients: Laboratory Evaluation of a Limited Concept | Respiratory Care
![Use of a Single Ventilator to Support Multiple Patients: Modeling Tidal Volume Response to Heterogeneous Lung Mechanics | medRxiv Use of a Single Ventilator to Support Multiple Patients: Modeling Tidal Volume Response to Heterogeneous Lung Mechanics | medRxiv](https://www.medrxiv.org/content/medrxiv/early/2020/04/11/2020.04.07.20056671/F1.large.jpg)