Výsledky vyhledávání - "Andy N D, Nguyen"

Distortions but not Definitive Peaks by Capillary Serum Protein Electrophoresis Indicate Monoclonal Gammopathy of Undetermined Significance rather than Multiple Myeloma

Autor: Christine A, Liang, Lin, Zhang, Graham, Segal, Amitava, Dasgupta, Andy N D, Nguyen, Amer, Wahed

Publikováno v: Annals of clinical and laboratory science. 50(1)

Capillary electrophoresis of serum proteins demonstrates occasional distortions. Distortions or peaks in the gamma, beta, and alpha-2 zones may represent monoclonal gammopathy. In this study, we investigated if such distortions are associated with mo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::2f439dc7ec9cd020d11382381c7705e5
https://pubmed.ncbi.nlm.nih.gov/32161026

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Automated Diagnosis of Lymphoma with Digital Pathology Images Using Deep Learning

Autor: Hanadi El, Achi, Tatiana, Belousova, Lei, Chen, Amer, Wahed, Iris, Wang, Zhihong, Hu, Zeyad, Kanaan, Adan, Rios, Andy N D, Nguyen

Publikováno v: Annals of clinical and laboratory science. 49(2)

Recent studies have shown promising results in using Deep Learning to detect malignancy in whole slide imaging, however, they were limited to just predicting a positive or negative finding for a specific neoplasm. We attempted to use Deep Learning wi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::00a32240f32665b7dae22d29454fb23a
https://pubmed.ncbi.nlm.nih.gov/31028058

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Proteomics Analysis of FLT3-ITD Mutation in Acute Myeloid Leukemia Using Deep Learning Neural Network

Autor: Christine A, Liang, Lei, Chen, Amer, Wahed, Andy N D, Nguyen

Publikováno v: Annals of clinical and laboratory science. 49(1)

Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempted to determine a set of critical proteins that were associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A Deep Lea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d01cdeda92f34bb98e43f54bb2c2cb01
https://pubmed.ncbi.nlm.nih.gov/30814087

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Utility of VerifyNow for Point-of-Care Identification of an Aspirin Effect Prior to Emergency Cardiac Surgery

Autor: Kerry J, Welsh, Amitava, Dasgupta, Andy N D, Nguyen, Amer, Wahed

Publikováno v: Annals of clinical and laboratory science. 45(4)

Patients with cardiovascular disease are frequently on aspirin, which may place them at risk for bleeding during surgical procedures. The utility of the VerifyNow test to rapidly identify an aspirin effect and predict bleeding risk prior to cardiac s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::bdc8a186a4fb9b3591ee7f6cad1417db
https://pubmed.ncbi.nlm.nih.gov/26275687

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Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network

Autor: Richard S P, Huang, Elena, Nedelcu, Yu, Bai, Amer, Wahed, Kimberly, Klein, Hlaing, Tint, Igor, Gregoric, Manish, Patel, Biswajit, Kar, Pranav, Loyalka, Sriram, Nathan, Rajko, Radovancevic, Andy N D, Nguyen

Publikováno v: Annals of clinical and laboratory science. 45(2)

The prediction of bleeding risk in cardiopulmonary bypass (CPB) patients plays a vital role in their postoperative management. Therefore, an artificial neural network (ANN) to analyze intra-operative laboratory data to predict postoperative bleeding

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::da096f33463043ad77c3b7e8a36595db
https://pubmed.ncbi.nlm.nih.gov/25887872

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