Lung Diseases
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What's New
Last Posted: Jun 30, 2020
- Cystic Fibrosis
CDC, June 2020 - The therapeutic potential of exosomes
J Madhusoodanan, Nature Outlook, May 13, 2020 - Asthma genetics revisited: understanding disease mechanisms by studying ethnically diverse groups
E Melen, Lancet Respiratory Diseases, May 2020 - Screening for chronic obstructive pulmonary disease with artificial intelligence
JE Bibault et al, Lancet Digital Health, April 21, 2020 - Electronic health record phenotypes associated with genetically regulated expression of CFTR and application to cystic fibrosis.
Zhong Xue et al. Genetics in medicine : official journal of the American College of Medical Genetics 2020 Apr - The sticky culprit: Platelets in cystic fibrosis
S Sengupta, Sci Trans Med, April 15, 2020 - 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
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