Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Anna Siefkas"'
Autor:
Logan Ryan BS, Samson Mataraso BS, Anna Siefkas SM, Emily Pellegrini MEng, Gina Barnes MPH, Abigail Green-Saxena PhD, Jana Hoffman PhD, Jacob Calvert MSc, Ritankar Das MSc
Publikováno v:
Clinical and Applied Thrombosis/Hemostasis, Vol 27 (2021)
Deep venous thrombosis (DVT) is associated with significant morbidity, mortality, and increased healthcare costs. Standard scoring systems for DVT risk stratification often provide insufficient stratification of hospitalized patients and are unable t
Externí odkaz:
https://doaj.org/article/8db98f4eaf144840ba43067813e38ad1
Autor:
Mark Stewart, Carla Rodriguez-Watson, Adem Albayrak, Julius Asubonteng, Andrew Belli, Thomas Brown, Kelly Cho, Ritankar Das, Elizabeth Eldridge, Nicolle Gatto, Alice Gelman, Hanna Gerlovin, Stuart L Goldberg, Eric Hansen, Jonathan Hirsch, Yuk-Lam Ho, Andrew Ip, Monika Izano, Jason Jones, Amy C Justice, Reyna Klesh, Seth Kuranz, Carson Lam, Qingqing Mao, Samson Mataraso, Robertino Mera, Daniel C Posner, Jeremy A Rassen, Anna Siefkas, Andrew Schrag, Georgia Tourassi, Andrew Weckstein, Frank Wolf, Amar Bhat, Susan Winckler, Ellen V Sigal, Jeff Allen
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248128 (2021)
BackgroundThe COVID-19 pandemic remains a significant global threat. However, despite urgent need, there remains uncertainty surrounding best practices for pharmaceutical interventions to treat COVID-19. In particular, conflicting evidence has emerge
Externí odkaz:
https://doaj.org/article/54f31913ca1947ed9d201427eb11393b
Autor:
Angier Allen, Anna Siefkas, Emily Pellegrini, Hoyt Burdick, Gina Barnes, Jacob Calvert, Qingqing Mao, Ritankar Das
Publikováno v:
Applied Sciences, Vol 11, Iss 12, p 5576 (2021)
Background: Machine learning methods have been developed to predict the likelihood of a given event or classify patients into two or more diagnostic categories. Digital twin models, which forecast entire trajectories of patient health data, have pote
Externí odkaz:
https://doaj.org/article/2ddb76822b384f9e8266af3c6f174d41
Autor:
Qingqing Mao, Jana Hoffman, Zohora Iqbal, Ritankar Das, Anurag Garikipati, Anna Siefkas, Rahul Thapa
Publikováno v:
Pancreatology. 22:43-50
Background Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-related hospitalizations in the United States. Severe AP (SAP) is associated with a mortality rate of nearly 30% and is distinguished from milder forms of AP. Ris
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a468acf119bfde634fb54f568aa78f60
https://doi.org/10.1016/j.pan.2021.10.003
https://doi.org/10.1016/j.pan.2021.10.003
BackgroundAlcohol use disorder (AUD) is a chronic mental disorder that leads to harmful, compulsive drinking patterns that can have serious consequences. Advancements are needed to overcome current barriers in diagnosis and treatment of AUD.Objective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3dff94a527a34760cced8553193ed11f
https://doi.org/10.1101/2022.06.06.22276057
https://doi.org/10.1101/2022.06.06.22276057
Autor:
Nicole S. Zelin, Jacob Calvert, Ritankar Das, Gina Barnes, Gregory Braden, Jana Hoffman, Carson Lam, Qingqing Mao, R. Phillip Dellinger, Hoyt Burdick, Jean Louis Vincent, Anna Siefkas
Publikováno v:
Clinical therapeutics
Clinical Therapeutics
Clinical Therapeutics
Purpose: Coronavirus disease–2019 (COVID-19) continues to be a global threat and remains a significant cause of hospitalizations. Recent clinical guidelines have supported the use of corticosteroids or remdesivir in the treatment of COVID-19. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c717106e4b4dad4fadfb0226acc1573
https://doi.org/10.1016/j.clinthera.2021.03.016
https://doi.org/10.1016/j.clinthera.2021.03.016
Autor:
Anna Siefkas, Hoyt Burdick, Gina Barnes, Jacob Calvert, Ritankar Das, Emily Pellegrini, Qingqing Mao, Angier Allen
Publikováno v:
Applied Sciences
Applied Sciences, Vol 11, Iss 5576, p 5576 (2021)
Volume 11
Issue 12
Applied Sciences, Vol 11, Iss 5576, p 5576 (2021)
Volume 11
Issue 12
Background: Machine learning methods have been developed to predict the likelihood of a given event or classify patients into two or more diagnostic categories. Digital twin models, which forecast entire trajectories of patient health data, have pote
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e92a77a3be8ade72b616e2cd0fc9df98
Autor:
Abigail Green-Saxena, Anna Siefkas, Gina Barnes, Jana Hoffman, Ritankar Das, Qingqing Mao, Jacob Calvert, C. Giang
Publikováno v:
TP54. TP054 MECHANICAL VENTILATION.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46ccc45e36f888317bd6683d0452b7a0
https://doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a2773
https://doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a2773
Autor:
Gina Barnes, Anna Siefkas, Jana Hoffman, Ritankar Das, Anurag Garikipati, Zohora Iqbal, Ashwath Radhachandran, Qingqing Mao
Publikováno v:
Leukemia research. 109
Background Early myelodysplastic syndrome (MDS) diagnosis can allow physicians to provide early treatment, which may delay advancement of MDS and improve quality of life. However, MDS often goes unrecognized and is difficult to distinguish from other
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc0025f4c9339a464490adf3dab9429d
https://pubmed.ncbi.nlm.nih.gov/34171604
https://pubmed.ncbi.nlm.nih.gov/34171604
Autor:
Carla V Rodriguez-Watson, Amy C. Justice, Seth Kuranz, Frank de Wolf, Tom Brown, Nicolle M. Gatto, Anna Siefkas, Andrew Weckstein, Elizabeth Eldridge, Kelly Cho, Yuk-Lam Ho, Julius Asubonteng, Samson Mataraso, Daniel C Posner, Adem Albayrak, Carson Lam, Ritankar Das, Stuart L. Goldberg, Jonathan Hirsch, Andrew J. Belli, Qingqing Mao, Andrew Schrag, Ellen V. Sigal, Mark Stewart, Alice Gelman, Georgia D. Tourassi, Monika A Izano, Reyna Klesh, Amar Bhat, Andrew Ip, Eric Hansen, Susan C. Winckler, Hanna Gerlovin, Jeremy A. Rassen, Jeff Allen, Jason Jones, Robertino Mera
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248128 (2021)
PLoS ONE
PLoS ONE
Background The COVID-19 pandemic remains a significant global threat. However, despite urgent need, there remains uncertainty surrounding best practices for pharmaceutical interventions to treat COVID-19. In particular, conflicting evidence has emerg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::286cb7ce58be37878f5d7ef45b22f18a
https://doaj.org/article/54f31913ca1947ed9d201427eb11393b
https://doaj.org/article/54f31913ca1947ed9d201427eb11393b