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Andrew Srisuwananukorn
Researcher at University of Illinois at Chicago
Publications - 24
Citations - 448
Andrew Srisuwananukorn is an academic researcher from University of Illinois at Chicago. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 5, co-authored 16 publications receiving 187 citations. Previous affiliations of Andrew Srisuwananukorn include Mount Sinai Health System & University of Illinois at Urbana–Champaign.
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Journal ArticleDOI
Pan-cancer image-based detection of clinically actionable genetic alterations
Jakob Nikolas Kather,Jakob Nikolas Kather,Lara R. Heij,Lara R. Heij,Heike I. Grabsch,Heike I. Grabsch,Chiara Loeffler,Amelie Echle,Hannah Sophie Muti,Jeremias Krause,Jan M. Niehues,Kai A. J. Sommer,Peter Bankhead,Loes F. S. Kooreman,Jefree J. Schulte,Nicole A. Cipriani,Roman D. Buelow,Peter Boor,Nadina Ortiz-Brüchle,Andrew M. Hanby,Valerie Speirs,Sara Kochanny,Akash Patnaik,Andrew Srisuwananukorn,Hermann Brenner,Michael Hoffmeister,Piet A. van den Brandt,Dirk Jäger,Christian Trautwein,Alexander T. Pearson,Tom Luedde +30 more
TL;DR: The findings show that a single deep learning algorithm can be trained to predict a wide range of molecular alterations from routine, paraffin-embedded histology slides stained with hematoxylin and eosin.
Journal ArticleDOI
Reduced skeletal muscle function is associated with decreased fiber cross-sectional area in the Cy/+ rat model of progressive kidney disease
Jason M. Organ,Andrew Srisuwananukorn,Paige Price,Jeffery E. Joll,Kelly C. Biro,Joseph E. Rupert,Neal X. Chen,Keith G. Avin,Sharon M. Moe,Matthew R. Allen +9 more
TL;DR: In this paper, muscle properties in the Cy+ rat model of spontaneously progressive chronic kidney disease (CKD) were evaluated in vivo at 25, 30 and 35 weeks of age, and the results of this study demonstrate that muscle function progressively declines in the cy− rat model, and that this functional deficit is associated with loss of muscle mass and quality.
Posted ContentDOI
Pan-cancer image-based detection of clinically actionable genetic alterations
Jakob Nikolas Kather,Jakob Nikolas Kather,Lara R. Heij,Lara R. Heij,Heike I. Grabsch,Heike I. Grabsch,Loes F. S. Kooreman,Chiara Loeffler,Amelie Echle,Jeremias Krause,Hannah Sophie Muti,Jan M. Niehues,Kai A. J. Sommer,Peter Bankhead,Jefree J. Schulte,Nicole A. Cipriani,Nadina Ortiz-Brüchle,Akash Patnaik,Andrew Srisuwananukorn,Hermann Brenner,Michael Hoffmeister,Piet A. van den Brandt,Dirk Jäger,Christian Trautwein,Alexander T. Pearson,Tom Luedde +25 more
TL;DR: The findings show that a single deep learning algorithm can predict clinically actionable alterations from routine histology data and can be implemented on mobile hardware, potentially enabling point-of-care diagnostics for personalized cancer treatment in individual patients.
Posted ContentDOI
Deep learning detects virus presence in cancer histology
Jakob Nikolas Kather,Jefree J. Schulte,Heike I. Grabsch,Heike I. Grabsch,Chiara Loeffler,Hannah Sophie Muti,James M. Dolezal,Andrew Srisuwananukorn,Nishant Agrawal,Sara Kochanny,Saskia von Stillfried,Peter Boor,Takaki Yoshikawa,Dirk Jaeger,Christian Trautwein,Peter Bankhead,Nicole A. Cipriani,Tom Luedde,Alexander T. Pearson +18 more
TL;DR: This work hypothesized that the histopathological features of virus-driven and non-virus driven cancers are sufficiently different to be detectable by artificial intelligence (AI) through deep learning-based analysis of images from routine hematoxylin and eosin stained slides, and shows that the key morphological features can be made understandable to humans.
Journal ArticleDOI
Clinical, laboratory, and genetic risk factors for thrombosis in sickle cell disease.
Andrew Srisuwananukorn,Rasha Raslan,Xu Zhang,Binal N. Shah,Jin Han,Michel Gowhari,Robert E. Molokie,Robert E. Molokie,Victor R. Gordeuk,Santosh L. Saraf +9 more
TL;DR: Thrombotic complications are common, and several traditional and SCD-specific risk factors are associated with thrombosis, according to a retrospective, longitudinal cohort of 1193 pediatric and adult SCD patients treated at this institution between January 2008 and December 2017.