Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Priya, Aggarwal"'
Autor:
Priya Aggarwal, Patricia Galvin-Parton
Publikováno v:
Genetics in Medicine Open, Vol 2, Iss , Pp 101293- (2024)
Externí odkaz:
https://doaj.org/article/b9b2e230cc4e4c868b96ce6e540fab8c
Autor:
Zobair Younossi, Priya Aggarwal, Ichhya Shrestha, João Fernandes, Pierre Johansen, Margarida Augusto, Sunita Nair
Publikováno v:
JHEP Reports, Vol 4, Iss 9, Pp 100525- (2022)
Background & Aims: Non-alcoholic steatohepatitis (NASH) is associated with increased mortality and a high clinical burden. NASH adversely impacts patients’ health-related quality of life (HRQoL), but published data on the humanistic burden of disea
Externí odkaz:
https://doaj.org/article/972ff1831bc84fd2b5519517685dfc36
Publikováno v:
Nursing Journal of India. :88-92
The sudden closure of schools in the Covid-19 pandemic has affected formal and informal education of the students especially belonging to socially disadvantaged groups. To explore the impact of this pandemic on the formal education of primary school
Autor:
Priya Aggarwal, Anubha Gupta
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0208068 (2018)
Analysis of functional magnetic resonance imaging (fMRI) data has revealed that brain regions can be grouped into functional brain networks (fBNs) or communities. A community in fMRI analysis signifies a group of brain regions coupled functionally wi
Externí odkaz:
https://doaj.org/article/4d6994b25d134c3790247726d8cf3df3
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9789811949593
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bea68aad9f0d3a8b14f071e1bac38a2c
https://doi.org/10.1007/978-981-19-4960-9_62
https://doi.org/10.1007/978-981-19-4960-9_62
Publikováno v:
Proc Indian Conf Comput Vis Graphics Image Proc
Decoding brain states of the underlying cognitive processes via learning discriminative feature representations has recently gained a lot of interest in brain imaging studies. Particularly, there has been an impetus to encode the dynamics of brain fu
Publikováno v:
2021 5th International Conference on Information Systems and Computer Networks (ISCON).
Publikováno v:
Computers in Biology and Medicine. 149:106048
In this study, we present an efficient Graph Convolutional Network based Risk Stratification system (GCRS) for cancer risk-stage prediction of newly diagnosed multiple myeloma (NDMM) patients. GCRS is a hybrid graph convolutional network consisting o
Publikováno v:
Applied soft computing. 122
COVID-19 pandemic caused by novel coronavirus (SARS-CoV-2) crippled the world economy and engendered irreparable damages to the lives and health of millions. To control the spread of the disease, it is important to make appropriate policy decisions a
Decoding brain states of the underlying cognitive processes via learning discriminative feature representations has recently gained a lot of interest in brain imaging studies. Particularly, there has been an impetus to encode the dynamics of brain fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5da4214a33a26e66dbf832a32f85348f
https://doi.org/10.1101/2021.06.18.449069
https://doi.org/10.1101/2021.06.18.449069