Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sudha K. Rao"'
Autor:
James A. Diao, Jason K. Wang, Wan Fung Chui, Victoria Mountain, Sai Chowdary Gullapally, Ramprakash Srinivasan, Richard N. Mitchell, Benjamin Glass, Sara Hoffman, Sudha K. Rao, Chirag Maheshwari, Abhik Lahiri, Aaditya Prakash, Ryan McLoughlin, Jennifer K. Kerner, Murray B. Resnick, Michael C. Montalto, Aditya Khosla, Ilan N. Wapinski, Andrew H. Beck, Hunter L. Elliott, Amaro Taylor-Weiner
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Computational methods have made progress in improving classification accuracy and throughput of pathology workflows, but lack of interpretability remains a barrier to clinical integration. Here, the authors present an approach for predicting clinical
Externí odkaz:
https://doaj.org/article/05d507904fe140cd941a3a33245b3716
Autor:
Victoria Mountain, Ramprakash Srinivasan, Michael Christopher Montalto, Abhik Lahiri, Sara Hoffman, Amaro Taylor-Weiner, Murray B. Resnick, Benjamin Glass, Jason K Wang, Hunter L. Elliott, Andrew H. Beck, Sai Chowdary Gullapally, Ilan Wapinski, Aaditya Prakash, Chirag Maheshwari, Aditya Khosla, James A. Diao, Jennifer K. Kerner, Ryan McLoughlin, Sudha K. Rao, Richard N. Mitchell, Wan Fung Chui
Publikováno v:
Nature Communications
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Nature Communications, Vol 12, Iss 1, Pp 1-15 (2021)
Computational methods have made substantial progress in improving the accuracy and throughput of pathology workflows for diagnostic, prognostic, and genomic prediction. Still, lack of interpretability remains a significant barrier to clinical integra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e074119e16b4713a8ec93a1febded1fe
https://doi.org/10.1038/s41467-021-21896-9
https://doi.org/10.1038/s41467-021-21896-9
Autor:
Benjamin Glass, Victoria Mountain, Sudha K. Rao, Andrew H. Beck, Aditya Khosla, Jason K Wang, Hunter L. Elliott, Abhik Lahiri, Murray B. Resnick, Ilan Wapinski, Chirag Maheshwari, Wan Fung Chui, Michael Christopher Montalto, Richard N. Mitchell, James A. Diao, Jennifer K. Kerner, Amaro Taylor-Weiner
While computational methods have made substantial progress in improving the accuracy and throughput of pathology workflows for diagnostic, prognostic, and genomic prediction, lack of interpretability remains a significant barrier to clinical integrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2565e74a5cbb8d40aad50a8065713a3f
https://doi.org/10.1101/2020.08.02.233197
https://doi.org/10.1101/2020.08.02.233197
Autor:
Shamira Sridharan, Michel Erminio Vandenberghe, Ilan Wapinski, Surya Teja Chavali, Craig Barker, Syed Ashar Javed, Marlon Rebelatto, Michael Christopher Montalto, Sudha K. Rao, Andrew H. Beck, Benjamin Glass, Murray B. Resnick, Hunter L. Elliott
Publikováno v:
Journal of Clinical Oncology. 39:3061-3061
3061 Background: Patient eligibility for HER2-targeting treatments is commonly informed by testing tumor HER2 expression using immunohistochemistry. As HER2 expression is visually assessed by pathologists, inter- and intra-rater variability might aff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f25a62bec7c4208a24c753002b64f2cc
https://doi.org/10.1200/jco.2021.39.15_suppl.3061
https://doi.org/10.1200/jco.2021.39.15_suppl.3061
Publikováno v:
American Journal of Clinical Pathology. 113:583-588
We studied cytokeratin (CK) expression immunohistochemically in 64 seminomas using a panel of commercially available antikeratin antibodies and tested for association of CK expression with patient age, tumor size, stage, and outcome. Seventeen embryo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4609cde1de20ebb5dc00d03b580240b6
https://doi.org/10.1309/5fu2-8yq9-q12r-y0ku
https://doi.org/10.1309/5fu2-8yq9-q12r-y0ku
Autor:
Shawn D. Balding, Sudha K. Rao, J McGuire, George J. Giudice, Hendri H. Pas, G. Scott Herron, M. Peter Marinkovich, Hoang H. Tran, Leena Bruckner-Tuderman, Marcel F. Jonkman
Publikováno v:
Journal of Investigative Dermatology. 109:356-359
The anchoring filament protein LAD-1 has been recently identified as the target of autoantibodies in the acquired blistering disorder linear IgA bullous dermatosis. Because this protein appears to be involved in the process of dermal-epidermal cohesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1bc246c41e5d5322b23113b873fc678
https://doi.org/10.1111/1523-1747.ep12336033
https://doi.org/10.1111/1523-1747.ep12336033
Autor:
Philip L. Townes, Jeffrey P. Shearin, Molly R. Schwenn, Bruce A. Woda, Sudha K. Rao, Lorraine Potocki
Publikováno v:
Cancer Genetics and Cytogenetics. 74:66-70
A 23-month-old female evaluated for profound anemia proved to have megakaryoblastic leukemia. The diagnosis is based on examination of bone marrow morphology, cytochemical characteristics, and immunophenotype. The chromosome complement of unstimulate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ed872cf8d1c740614a19c44a33d121
https://doi.org/10.1016/0165-4608(94)90032-9
https://doi.org/10.1016/0165-4608(94)90032-9
Publikováno v:
Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. 14(2)
An increasingly large body of work suggests that atypical adenomatous hyperplasia (AAH) of the lung may be a forerunner of pulmonary adenocarcinoma. Recognizing this fact, the World Health Organization now acknowledges the existence of AAH while noti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aeac85c80e3954e9d6bf6a30c0ab6021
https://pubmed.ncbi.nlm.nih.gov/11235908
https://pubmed.ncbi.nlm.nih.gov/11235908
Publikováno v:
Gynecologic oncology. 80(2)
The aim of this study was to correlate the pathologic characteristics of pelvic lymph node metastases with survival, recurrence, and patterns of recurrence in endometrial cancer.Sixty patients with epithelial endometrial cancer and pelvic node metast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::222f4b67133077ce961b5174e91aa6aa
https://pubmed.ncbi.nlm.nih.gov/11161847
https://pubmed.ncbi.nlm.nih.gov/11161847