Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Syed Ashiqur Rahman"'
Autor:
Syed Ashiqur Rahman, Donald A. Adjeroh
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-15 (2019)
Abstract Human age estimation is an important and difficult challenge. Different biomarkers and numerous approaches have been studied for biological age estimation, each with its advantages and limitations. In this work, we investigate whether physic
Externí odkaz:
https://doaj.org/article/2fea9bf31a45448fb71f30dd4af6395c
Autor:
Yanhong Li, Alex Boshart, Rohan John, Stephen C. Juvet, Andrea Bozovic, S. Moshkelgosha, Emilie Chan, Sofia Farkona, Igor Jurisica, S. Joseph Kim, Sergi Clotet-Freixas, Andrzej Chruscinski, Jishnu Das, Tereza Martinu, Yun Niu, Vathany Kulasingam, Olusegun Famure, Syed Ashiqur Rahman, Julie Anh Dung Van, Ana Konvalinka, Max Kotlyar, Peixuen Chen, Chiara Pastrello, Caitriona M. McEvoy, Ihor Batruch, Madhurangi Arambewela
Publikováno v:
J Am Soc Nephrol
BACKGROUND: Antibody-mediated rejection (AMR) accounts for >50% of kidney allograft loss. Donor-specific antibodies (DSA) against HLA and non-HLA antigens in the glomeruli and the tubulointerstitium cause AMR while inflammatory cytokines such as TNF
Autor:
Syed Ashiqur Rahman, Donald Adjeroh
Publikováno v:
PLoS ONE, Vol 10, Iss 12, p e0144639 (2015)
BACKGROUND:Obesity is a global public health challenge. In the US, for instance, obesity prevalence remains high at more than one-third of the adult population, while over two-thirds are obese or overweight. Obesity is associated with various health
Externí odkaz:
https://doaj.org/article/b94d0a405cab41d5acb1c3654b53172e
Autor:
Na Sun, Vinay Mahajan, Grace J. Yuen, Jishnu Das, Syed Ashiqur Rahman, Hamid Mattoo, Vinayak Viswanadham, Shiv Pillai
T follicular helper (Tfh) cells play a critical role in T-dependent humoral immune responses. While genetic programs controlling Tfh cell differentiation have been extensively studied using murine models, studies in humans have been hampered by the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58de1ad871772077decb9a0548b17d4f
https://doi.org/10.1101/2021.05.19.444859
https://doi.org/10.1101/2021.05.19.444859
Autor:
Gianfranco Doretto, Donald A. Adjeroh, Syed Ashiqur Rahman, Peter R. Giacobbi, Lee A. Pyles, Charles J. Mullett
Publikováno v:
Brief Bioinform
Modern machine learning techniques (such as deep learning) offer immense opportunities in the field of human biological aging research. Aging is a complex process, experienced by all living organisms. While traditional machine learning and data minin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfd0a7496dacc128084ecd97676941cf
https://europepmc.org/articles/PMC8179516/
https://europepmc.org/articles/PMC8179516/
Autor:
Syed Ashiqur Rahman, Donald A. Adjeroh
Publikováno v:
BIBM
We introduce an approach to predict biological age based on a 3-dimensional deep convolutional neural network (3D-CNN), using human physical activity as recorded by a wearable device. Results on mortality hazard analysis using both the Cox proportion
Autor:
Donald A. Adjeroh, Syed Ashiqur Rahman
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-15 (2019)
Scientific Reports
Scientific Reports
Human age estimation is an important and difficult challenge. Different biomarkers and numerous approaches have been studied for biological age estimation, each with its advantages and limitations. In this work, we investigate whether physical activi
Autor:
Donald A. Adjeroh, Syed Ashiqur Rahman
Publikováno v:
IEEE J Biomed Health Inform
Estimation of human biological age is an important and difficult challenge. Different biomarkers and numerous approaches have been studied for biological age prediction, each with its advantages and limitations. In this paper, we propose a new biolog
Autor:
Syed Ashiqur Rahman, Donald A. Adjeroh
Publikováno v:
BHI
Estimation of human biological age is an important and difficult challenge. In this work, we generalize a biological age estimation method and investigate the performance of the method against popular approaches. We introduce a centroid based approac