Acute Respiratory Distress Syndrome
Last Posted: Sep 14, 2021
- Utilizing machine learning to improve clinical trial design for acute respiratory distress syndrome.
Schwager E et al. NPJ digital medicine 2021 4(1) 133
- Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.
Xu Wan et al. Scientific reports 2021 11(1) 2933
- Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients.
Aschenbrenner Anna C et al. Genome medicine 2021 13(1) 7
- Analytics with artificial intelligence to advance the treatment of acute respiratory distress syndrome.
Zhang Zhongheng et al. Journal of evidence-based medicine 2020 Nov
- Mass cytometry and artificial intelligence define CD169 as a specific marker of SARS-CoV2-induced acute respiratory distress syndrome
M Roussel et al, BIORXIV, September 22, 2020
- Machine Learning Predicts Prolonged Acute Hypoxemic Respiratory Failure in Pediatric Severe Influenza.
Sauthier Michaël S et al. Critical care explorations 2020 Aug 2(8) e0175
- Biomarkers and Precision Medicine: State of the Art.
Sarma Aartik et al. Critical care clinics 2020 Jan 36(1) 155-165
- The Coronavirus Patients Betrayed by Their Own Immune Systems
New York Times, April 1, 2020
- Is There an Association Between COVID-19 Mortality and the Renin-Angiotensin System-a Call for Epidemiologic Investigations.
Hanff Thomas C et al. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America 2020 Mar
- A quantitative approach for the analysis of clinician recognition of acute respiratory distress syndrome using electronic health record data.
Bechel Meagan A et al. PloS one 2019 14(9) e0222826
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