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1.	PDF swan.ryan.2019 Development of a network-based measure of genetic risk and its application in preterm birth and retinopathy of prematurity Swan, Ryan Despite incredible advances in the recruitment and phenotyping of patients for genomewide association studies (GWAS) in the past decade, the ability to ascertain the caus [...] 2019 \| Dissertation \| Detailed record - Similar records
2.	PDF ResearchWeek2022-_OhMinn_FINAL Evaluation of artificial intelligence-based retinopathy of prematurity screening in South India Oh, Minn ; Coyner, Aaron S. ; Shah, Parag K. ; Singh, Praveer[...] Artificial Intelligence (AI) algorithms have demonstrated efficacy in detecting severe ROP. Recent work using the Imaging and Informatics in ROP (i-ROP) deep learning (DL [...] 2022-04-22 \| Abstract \| Detailed record - Similar records
3.	PDF Coyner.Aaron.2021 Machine learning for disease detection and prediction in retinopathy of prematurity Coyner, Aaron S. An estimated one in ten babies, 15 million worldwide, are born prematurely each year - prematurity being a significant risk factor for the development of retinopathy of p [...] 2021 \| Dissertation \| Detailed record - Similar records
4.	PDF 3033_etd Novel regulators of microvascular function Zamora, David O. 2004 \| Dissertation \| Detailed record - Similar records
5.	Views, Spring 1995 Oregon Health & Science University A serial magazine produced by OHSU. CONTENTS: Comfort Care Team Addresses Physical and Emotional Needs of Patients Public Psychiatry Program Reaches Out to Mentally Ill [...] 1995-04-01 \| Other \| Institutional Publications \| Detailed record - Similar records

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