Acute Respiratory Distress Syndrome
What's New
Last Posted: Nov 14, 2023
- Robust airway microbiome signatures in acute respiratory failure and hospital-acquired pneumonia.
Emmanuel Montassier et al. Nat Med 2023 11 - Collaborative strategies for deploying AI-based physician decision support systems: challenges and deployment approaches.
Mirja Mittermaier et al. NPJ Digit Med 2023 6(1) 137 - Collaborative strategies for deploying artificial intelligence to complement physician diagnoses of acute respiratory distress syndrome.
Negar Farzaneh et al. NPJ digital medicine 2023 4 (1) 62 - Leveraging Clinical Informatics and Data Science to Improve Care and Facilitate Research in Pediatric Acute Respiratory Distress Syndrome: From the Second Pediatric Acute Lung Injury Consensus Conference.
Sanchez-Pinto L Nelson et al. Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 2023 24(Supplement 1 2S) S1-S11 - Developing and evaluating a machine-learning-based algorithm to predict the incidence and severity of ARDS with continuous non-invasive parameters from ordinary monitors and ventilators.
Wu Wenzhu et al. Computer methods and programs in biomedicine 2023 230107328 - Discriminating Acute Respiratory Distress Syndrome from other forms of respiratory failure via iterative machine learning.
Afshin-Pour Babak et al. Intelligence-based medicine 2023 100087 - Machine learning models for predicting acute kidney injury in patients with sepsis associated ARDS.
Zhou Yang et al. Shock (Augusta, Ga.) 2023 - Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium
B Moal et al, PLOS ONE, Jan 4, 2023 - Circulating proteome of hospitalized patients uncovers six endophenotypes of COVID-19 and points to FGFR and SHC4-signaling in acute respiratory distress syndrome
W Ma et al, MEDRXIV, November 9, 2022 - Early prediction of moderate-to-severe condition of inhalation-induced acute respiratory distress syndrome via interpretable machine learning.
Wu Junwei et al. BMC pulmonary medicine 2022 22(1) 193
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Rare Disease PHGKB is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other information that address the public health impact and translation of genomic and other precision health discoveries into improved health outcomes related to rare diseases...more
Content Summary
Selected Rare Diseases
- Alpha-1 Antitrypsin Deficiency
- Amyotrophic Lateral Sclerosis
- Brugada Syndrome
- Cerebral Palsy
- Cystic Fibrosis
- Duchenne Muscular Dystrophy
- Eclampsia
- Erythema Multiforme
- Familial Mediterranean Fever
- Fragile X Syndrome
- Gaucher Disease
- Glomerulonephritis
- Graves Disease
- Hemophilia
- Huntington Disease
- Microcephaly
- Myasthenia Gravis
- Phenylketonuria
- Retinitis Pigmentosa
- Severe Combined Immunodeficiency
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:May 01, 2024
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