James E. Tooley
Stanford University
17 Papers
87 Citations
James E. Tooley is an academic researcher from Stanford University. The author has contributed to research in topics: Medicine & Deep learning. The author has an hindex of 7, co-authored 14 publications. Previous affiliations of James E. Tooley include University of Arizona & Yale University.
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Papers
New and future immunomodulatory therapy in type 1 diabetes
TL;DR: Improved understanding of the pathogenesis of type 1 diabetes has led to the development of new immunomodulatory treatments, but none have yet received regulatory approval, but this report highlights recent progress in this area.
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Deep learning evaluation of biomarkers from echocardiogram videos.
J. Weston Hughes,Neal Yuan,Bryan He,Jiahong Ouyang,Joseph E. Ebinger,Patrick Botting,Jasper Lee,John Theurer,James E. Tooley,Koen Nieman,Matthew P. Lungren,David Liang,Ingela Schnittger,Jonathan H. Chen,Euan A. Ashley,Susan Cheng,David Ouyang,James Zou +17 more
TL;DR: EchoNet-Labs as discussed by the authors is a video-based deep learning algorithm to detect evidence of anemia, elevated B-type natriuretic peptide (BNP), troponin I, and blood urea nitrogen (BUN) directly from echocardiograms.
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Epidermal growth factor inhibits intestinal NHE8 expression via reducing its basal transcription
TL;DR: It is shown that EGF inhibits NHE8 gene expression through reducing its basal transcription, suggesting an important role of EGF in regulating NHE expression during intestinal maturation.
24
Biomarkers in type 1 diabetes: application to the clinical trial setting.
James E. Tooley,Kevan C. Herold +1 more
TL;DR: Use of biomarkers in the study of T1D has largely not changed over the past 20 years; however, recent advancements in the field are establishing new techniques that allow for more precise monitoring of disease progression.
Deep Learning Prediction of Biomarkers from Echocardiogram Videos
J. Weston Hughes,Neal Yuan,Bryan He,Jiahong Ouyang,Joseph E. Ebinger,Patrick Botting,Jasper Lee,John Theurer,James E. Tooley,Koen Neiman,Matthew P. Lungren,David Liang,Ingela Schnittger,Bob Harrington,Jonathan H. Chen,Euan A. Ashley,Susan Cheng,David Ouyang,James Zou +18 more
TL;DR: In this paper, a video-based deep learning algorithm was proposed to predict anemia, elevated B-type natriuretic peptide (BNP), troponin I, and blood urea nitrogen (BUN) levels in 10 additional lab tests.