Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Yan-Chak Li"'
Autor:
Solveig K Sieberts, Henryk Borzymowski, Yuanfang Guan, Yidi Huang, Ayala Matzner, Alex Page, Izhar Bar-Gad, Brett Beaulieu-Jones, Yuval El-Hanani, Jann Goschenhofer, Monica Javidnia, Mark S Keller, Yan-Chak Li, Mohammed Saqib, Greta Smith, Ana Stanescu, Charles S Venuto, Robert Zielinski, BEAT-PD DREAM Challenge Consortium, Arun Jayaraman, Luc J W Evers, Luca Foschini, Alex Mariakakis, Gaurav Pandey, Nicholas Shawen, Phil Synder, Larsson Omberg
Publikováno v:
PLOS Digital Health, Vol 2, Iss 3, p e0000208 (2023)
One of the promising opportunities of digital health is its potential to lead to more holistic understandings of diseases by interacting with the daily life of patients and through the collection of large amounts of real-world data. Validating and be
Externí odkaz:
https://doaj.org/article/de8633dcf1574d1da3521a42bf309186
Autor:
Arjun S Yadaw, PhD, Yan-chak Li, MPhil, Sonali Bose, MD, Ravi Iyengar, ProfPhD, Supinda Bunyavanich, ProfMD, Gaurav Pandey, PhD
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 10, Pp e516-e525 (2020)
Summary: Background: The COVID-19 pandemic has affected millions of individuals and caused hundreds of thousands of deaths worldwide. Predicting mortality among patients with COVID-19 who present with a spectrum of complications is very difficult, hi
Externí odkaz:
https://doaj.org/article/1c168dd3f0f84b02852c74a48279a6ab
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1012302 (2024)
Protein kinase function and interactions with drugs are controlled in part by the movement of the DFG and ɑC-Helix motifs that are related to the catalytic activity of the kinase. Small molecule ligands elicit therapeutic effects with distinct selec
Externí odkaz:
https://doaj.org/article/0cb357eb62534ecb8b6babdcb88ff44f
Publikováno v:
bioRxiv
Motivation Integrating multimodal data represents an effective approach to predicting biomedical characteristics, such as protein functions and disease outcomes. However, existing data integration approaches do not sufficiently address the heterogene
Autor:
Supinda Bunyavanich, Sonali Bose, Ravi Iyengar, Arjun Singh Yadaw, Yan chak Li, Gaurav Pandey
Publikováno v:
The Lancet. Digital Health
The Lancet: Digital Health, Vol 2, Iss 10, Pp e516-e525 (2020)
The Lancet: Digital Health, Vol 2, Iss 10, Pp e516-e525 (2020)
Summary Background The COVID-19 pandemic has affected millions of individuals and caused hundreds of thousands of deaths worldwide. Predicting mortality among patients with COVID-19 who present with a spectrum of complications is very difficult, hind
Autor:
Charles S. Venuto, Izhar Bar-Gad, Solveig K. Sieberts, Luc J.W. Evers, Ayala Matzner, Mark Keller, Arun Jayaraman, Alex Mariakakis, Jann Goschenhofer, Henryk Borzymowski, Monica Javidnia, Robbie Zielinski, Greta Smith, Yuval El-Hanani, Mohammed Saqib, Yan-chak Li, Yidi Huang, Alex Page, Gaurav Pandey, Brett K. Beaulieu-Jones, Luca Foschini, Yuanfang Guan, Ana Stanescu, Phil Synder, Nicholas Shawen, Larsson Omberg
One of the promising opportunities of digital health is its potential to lead to more holistic understandings of diseases by interacting with the daily life of patients and through the collection of large amounts of real world data. Validating and be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1d3ed9745af60f34fc75aa229663c01
https://doi.org/10.1101/2021.10.20.21265298
https://doi.org/10.1101/2021.10.20.21265298
Autor:
Gaurav Pandey, Supinda Bunyavanich, Yoojin Chun, Luz Claudio, Yan-chak Li, Po-hsiang Chiu, Hsiao-Hsien Leon Hsu, Zoe Arditi
Publikováno v:
J Clin Invest
Air pollution is a well-known contributor to asthma. Air toxics are hazardous air pollutants that cause or may cause serious health effects. Although individual air toxics have been associated with asthma, only a limited number of studies have specif
Autor:
Gaurav Pandey, Arjun Singh Yadaw, Ravi Iyengar, Sonali Bose, Yan-chak Li, Supinda Bunyavanich
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
Background: The coronavirus disease 2019 (COVID-19) pandemic has affected over millions of individuals and caused hundreds of thousands of deaths worldwide. It can be difficult to accurately predict mortality among COVID-19 patients presenting with a
Autor:
Yan-Chak Li1, Hsiao-Hsien Leon Hsu2,3, Yoojin Chun1, Po-Hsiang Chiu1, Zoe Arditi1,4, Luz Claudio2,3, Pandey, Gaurav1,3, Bunyavanich, Supinda1,4, Li, Yan-Chak5 (AUTHOR), Hsu, Hsiao-Hsien Leon6,7 (AUTHOR), Chun, Yoojin5 (AUTHOR), Chiu, Po-Hsiang5 (AUTHOR), Arditi, Zoe5,8 (AUTHOR), Claudio, Luz6,7 (AUTHOR)
Publikováno v:
Journal of Clinical Investigation. 11/15/2021, Vol. 131 Issue 22, p1-13. 13p.