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Lung Diseases

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Last Posted: Feb 26, 2020

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• Deep learning for screening of interstitial lung disease patterns in high-resolution CT images. 
  Agarwala S et al. Clinical radiology 2020 Feb
• Minimal change in structural, functional and inflammatory markers of lung disease in newborn screened infants with cystic fibrosis at one year. 
  Davies Gwyneth et al. Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society 2020 Feb
• Cost-effectiveness analysis of chromosomal microarray as a primary test for prenatal diagnosis in Hong Kong. 
  Chung Claudia Ching Yan et al. BMC pregnancy and childbirth 2020 Feb 20(1) 109
• Trastuzumab Deruxtecan in Previously Treated HER2-Positive Breast Cancer 
  S Modi et al, NEJM, February 12, 2020
• [Italian Cystic Fibrosis Registry (ICFR). Report 2015-2016]. 
  Giordani Barbara et al. Epidemiologia e prevenzione 43(4S1) 1-36
• Applying whole-genome sequencing in relation to phenotype and outcomes in siblings with cystic fibrosis. 
  Wilk Melissa A et al. Cold Spring Harbor molecular case studies 2020 Feb 6(1)
• Clinical Annotation Research Kit (CLARK): Computable Phenotyping Using Machine Learning. 
  Pfaff Emily R et al. JMIR medical informatics 2020 Jan 8(1) e16042
• Deep Learning for Pulmonary Image Analysis: Classification, Detection, and Segmentation. 
  Kido Shoji et al. Advances in experimental medicine and biology 2020 121347-58
• Deep learning-based segmentation of malignant pleural mesothelioma tumor on computed tomography scans: application to scans demonstrating pleural effusion. 
  Gudmundsson Eyjolfur et al. Journal of medical imaging (Bellingham, Wash.) 2020 Jan 7(1) 012705
• Diagnosis of ventilator-associated pneumonia using electronic nose sensor array signals: solutions to improve the application of machine learning in respiratory research. 
  Chen Chung-Yu et al. Respiratory research 2020 Feb 21(1) 45
• Pharmacogenetic investigation of efficacy response to mepolizumab in eosinophilic granulomatosis with polyangiitis. 
  Condreay Lynn D et al. Rheumatology international 2020 Feb
• Systematic Evaluation of Research Progress on Natural Language Processing in Medicine Over the Past 20 Years: Bibliometric Study on PubMed. 
  Wang Jing et al. Journal of medical Internet research 2020 Jan 22(1) e16816
• Understanding the importance of key risk factors in predicting chronic bronchitic symptoms using a machine learning approach. 
  Deng Huiyu et al. BMC medical research methodology 2019 19(1) 70
• Calling all coronavirus researchers: keep sharing, stay open. 
  et al. Nature 2020 Feb (7793) 7
• Opportunities for machine learning to transform care for people with cystic fibrosis. 
  Abroshan Mahed et al. Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society 2020 Jan 19(1) 6-8
• Cystic fibrosis heterozygosity: Carrier state or haploinsufficiency? 
  Fisman David et al. Proceedings of the National Academy of Sciences of the United States of America 2020 Jan
• Expanded carrier screening for preconception reproductive risk assessment: Prevalence of carrier status in a Mexican population. 
  Hernandez-Nieto Carlos et al. Prenatal diagnosis 2020 Jan
• Two years of newborn screening for cystic fibrosis in Turkey: Çukurova experience. 
  Sasihüseyinoglu Ayse Senay et al. The Turkish journal of pediatrics 2019 61(4) 505-512
• A pneumonia outbreak associated with a new coronavirus of probable bat origin 
  P ZHou et al, Nature, February 3, 2020
• Cystic Fibrosis Patient Asks for Increased Efforts Around Antibiotic Resistance 
  Pew Trust, January 28, 2020