Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Satish Casie Chetty"'
Autor:
Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao
Publikováno v:
JMIR Medical Informatics, Vol 10, Iss 6, p e36202 (2022)
BackgroundAcute respiratory distress syndrome (ARDS) is a condition that is often considered to have broad and subjective diagnostic criteria and is associated with significant mortality and morbidity. Early and accurate prediction of ARDS and relate
Externí odkaz:
https://doaj.org/article/98c895345bd74703be855eb4d0bb6576
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-16 (2020)
The signals restricting specification of vascular progenitors are unclear. Here, the authors use scRNAseq to identify transitional steps during blood and vascular development in zebrafish and identify Etv2 as repressing skeletal muscle differentiatio
Externí odkaz:
https://doaj.org/article/e1441094e0f94f03917601c570752e35
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254024 (2021)
During embryonic development, cells differentiate into a variety of distinct cell types and subtypes with diverse transcriptional profiles. To date, transcriptomic signatures of different cell lineages that arise during development have been only par
Externí odkaz:
https://doaj.org/article/2a993f33fbd341a3abfadcc10ba07687
Autor:
Jieru, Shen, Satish, Casie Chetty, Sepideh, Shokouhi, Jenish, Maharjan, Yevheniy, Chuba, Jacob, Calvert, Qingqing, Mao
Publikováno v:
Thrombosis Research. 216:14-21
Pulmonary embolism (PE) is a life-threatening condition associated with ~10% of deaths of hospitalized patients. Machine learning algorithms (MLAs) which predict the onset of pulmonary embolism (PE) could enable earlier treatment and improve patient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce11ed549c9be138d9a5bcd627e6f57d
https://doi.org/10.1016/j.thromres.2022.05.016
https://doi.org/10.1016/j.thromres.2022.05.016
Autor:
Cecilia Zeng, Wang Xiang, Angier Allen, Sepideh Shokouhi, Satish Casie Chetty, Gina Barnes, Zohora Iqbal, Peiling Tsou, Navan Singh, Jacob Calvert, Myrna Hurtado, Jana Hoffman, Qingqing Mao
Importance: Despite sex and race disparities in the symptom presentation, diagnosis, and management of acute coronary syndrome (ACS), these differences have not been investigated in the development and validation of machine learning (ML) models using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d825d4bcd3b42634a843b4b56e15634e
https://doi.org/10.21203/rs.3.rs-1743328/v1
https://doi.org/10.21203/rs.3.rs-1743328/v1
Autor:
Maxime Faucher, Satish Casie Chetty, Sepideh Shokouhi, Gina Barnes, Keyvan Rahmani, Jacob Calvert, Qingqing Mao
(1) Background: Ventilator-associated pneumonia (VAP) causes high mortality among patients with respiratory disease and imposes major burdens on healthcare infrastructure. Models that use electronic health record data to predict the onset of VAP may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5371e689863f38dc15c32eb13ab43e9
https://doi.org/10.20944/preprints202206.0149.v1
https://doi.org/10.20944/preprints202206.0149.v1
Autor:
Cecilia Zeng, Wang Xiang, Angier Allen, Sepideh Shokouhi, Satish Casie Chetty, Gina Barnes, Zohora Iqbal, Peiling Tsou, Jacob Calvert, Jana Hoffman, Qingqing Mao
Background Electronic health records (EHRs) contain individualized patient data that can be used to develop diagnostic and risk prediction models with artificial intelligence (AI) algorithms. Explicit and implicit sources of bias embedded in EHRs may
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8bd77238ac312c854a8e66fc85238c3
https://doi.org/10.21203/rs.3.rs-1735655/v1
https://doi.org/10.21203/rs.3.rs-1735655/v1
Autor:
Keyvan Rahmani, Rahul Thapa, Peiling Tsou, Satish Casie Chetty, Gina Barnes, Carson Lam, Chak Foon Tso
Publikováno v:
medRxiv
BackgroundData drift can negatively impact the performance of machine learning algorithms (MLAs) that were trained on historical data. As such, MLAs should be continuously monitored and tuned to overcome the systematic changes that occur in the distr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b1175fa2f31f3eeb755e6e1f1db458f
https://europepmc.org/articles/PMC9196120/
https://europepmc.org/articles/PMC9196120/
Autor:
Sanjeeva Metikala, Michael Warkala, Satish Casie Chetty, Brendan Chestnut, Diandra Rufin Florat, Elizabeth Plender, Olivia Nester, Andrew L. Koenig, Sophie Astrof, Saulius Sumanas
Publikováno v:
Dev Cell
During embryogenesis, the initial vascular network forms by the process of vasculogenesis, or the specification of vascular progenitors de novo. In contrast, the majority of later-forming vessels arise by angiogenesis from the already established vas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3393ecec09b12732a33923dc3c09e50b
https://europepmc.org/articles/PMC9365108/
https://europepmc.org/articles/PMC9365108/
Autor:
Carson Lam, Rahul Thapa, Jenish Maharjan, Keyvan Rahmani, Chak Foon Tso, Navan Preet Singh, Satish Casie Chetty, Qingqing Mao
BACKGROUND Acute respiratory distress syndrome (ARDS) is a condition that is often considered to have broad and subjective diagnostic criteria and is associated with significant mortality and morbidity. Early and accurate prediction of ARDS and relat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0549d5fef20d00ee1bdfc3a8221d7f39
https://doi.org/10.2196/preprints.36202
https://doi.org/10.2196/preprints.36202