Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Ramanathan Sethuraman"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 4, p e1011022 (2023)
With the evolution of multicellularity, communication among cells in different tissues and organs became pivotal to life. Molecular basis of such communication has long been studied, but genome-wide screens for genes and other biomolecules mediating
Externí odkaz:
https://doaj.org/article/31e53fa25b3c4a609532888569eca074
Autor:
Shanmukh Alle, Akshay Kanakan, Samreen Siddiqui, Akshit Garg, Akshaya Karthikeyan, Priyanka Mehta, Neha Mishra, Partha Chattopadhyay, Priti Devi, Swati Waghdhare, Akansha Tyagi, Bansidhar Tarai, Pranjal Pratim Hazarik, Poonam Das, Sandeep Budhiraja, Vivek Nangia, Arun Dewan, Ramanathan Sethuraman, C. Subramanian, Mashrin Srivastava, Avinash Chakravarthi, Johnny Jacob, Madhuri Namagiri, Varma Konala, Debasish Dash, Tavpritesh Sethi, Sujeet Jha, Anurag Agrawal, Rajesh Pandey, P. K. Vinod, U. Deva Priyakumar
Publikováno v:
PLoS ONE, Vol 17, Iss 3 (2022)
The variability of clinical course and prognosis of COVID-19 highlights the necessity of patient sub-group risk stratification based on clinical data. In this study, clinical data from a cohort of Indian COVID-19 hospitalized patients is used to deve
Externí odkaz:
https://doaj.org/article/704640d8d7124fe8bc6ffac62317d17d
Autor:
Vladimir Naumov, Evgeny Putin, Stefan Pushkov, Ekaterina Kozlova, Konstantin Romantsov, Alexander Kalashnikov, Fedor Galkin, Nina Tihonova, Anastasia Shneyderman, Egor Galkin, Arsenii Zinkevich, Stephanie M Cope, Ramanathan Sethuraman, Tudor I Oprea, Alexander T Pearson, Savas Tay, Nishant Agrawal, Alexey Dubovenko, Quentin Vanhaelen, Ivan Ozerov, Alex Aliper, Evgeny Izumchenko, Alex Zhavoronkov
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009183 (2021)
Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several
Externí odkaz:
https://doaj.org/article/9ddf87614ae645bab219cc0619106297
Autor:
Priyanka Mehta, Shanmukh Alle, Anusha Chaturvedi, Aparna Swaminathan, Sheeba Saifi, Ranjeet Maurya, Partha Chattopadhyay, Priti Devi, Ruchi Chauhan, Akshay Kanakan, Janani Srinivasa Vasudevan, Ramanathan Sethuraman, Subramanian Chidambaram, Mashrin Srivastava, Avinash Chakravarthi, Johnny Jacob, Madhuri Namagiri, Varma Konala, Sujeet Jha, U. Deva Priyakumar, P. K. Vinod, Rajesh Pandey
Publikováno v:
Pathogens, Vol 10, Iss 9, p 1109 (2021)
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of conce
Externí odkaz:
https://doaj.org/article/2b62036e88804736ad5d18a66adf1fa7
Publikováno v:
Circuits, Systems, and Signal Processing. 42:643-682
Autor:
Varma Konala, U. Deva Priyakumar, Madhuri Namagiri, Ramanathan Sethuraman, Subramanian Chidambaram, Sujeet Jha, Avinash Chakravarthi, Shanmukh Alle, Anusha Chaturvedi, Akshay Kanakan, Aparna Swaminathan, Partha Chattopadhyay, Sheeba Saifi, Ranjeet Maurya, Johnny Jacob, Ruchi Chauhan, Rajesh Pandey, P. K. Vinod, Janani Srinivasa Vasudevan, Priyanka Mehta, M. M. Srivastava, Priti Devi
Publikováno v:
Pathogens
Pathogens, Vol 10, Iss 1109, p 1109 (2021)
Volume 10
Issue 9
Pathogens, Vol 10, Iss 1109, p 1109 (2021)
Volume 10
Issue 9
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) manifests a broad spectrum of clinical presentations, varying in severity from asymptomatic to mortality. As the viral infection spread, it evolved and developed into many variants of conce
Autor:
Konstantin Romantsov, Alexey Dubovenko, Ivan V. Ozerov, Savaş Tay, Alexander T. Pearson, Alexander Kalashnikov, Ramanathan Sethuraman, Tudor I. Oprea, Nishant Agrawal, Egor Galkin, Alex Zhavoronkov, Anastasia Shneyderman, Quentin Vanhaelen, Ekaterina Kozlova, Arsenii Zinkevich, Vladimir Naumov, Nina Tihonova, Evgeny Putin, Alexander Aliper, Evgeny Izumchenko, Stefan Pushkov, Fedor Galkin, Stephanie M. Cope
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009183 (2021)
PLoS Computational Biology
Naumov, V, Putin, E, Pushkov, S, Kozlova, E, Romantsov, K, Kalashnikov, A, Galkin, F, Tihonova, N, Shneyderman, A, Galkin, E, Zinkevich, A, Cope, S M, Sethuraman, R, Oprea, T I, Pearson, A T, Tay, S, Agrawal, N, Dubovenko, A, Vanhaelen, Q, Ozerov, I, Aliper, A, Izumchenko, E & Zhavoronkov, A 2021, ' COVIDomic : A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity ', P L o S One, vol. 17, no. 7, e1009183 . https://doi.org/10.1371/journal.pcbi.1009183
PLoS Computational Biology
Naumov, V, Putin, E, Pushkov, S, Kozlova, E, Romantsov, K, Kalashnikov, A, Galkin, F, Tihonova, N, Shneyderman, A, Galkin, E, Zinkevich, A, Cope, S M, Sethuraman, R, Oprea, T I, Pearson, A T, Tay, S, Agrawal, N, Dubovenko, A, Vanhaelen, Q, Ozerov, I, Aliper, A, Izumchenko, E & Zhavoronkov, A 2021, ' COVIDomic : A multi-modal cloud-based platform for identification of risk factors associated with COVID-19 severity ', P L o S One, vol. 17, no. 7, e1009183 . https://doi.org/10.1371/journal.pcbi.1009183
Coronavirus disease 2019 (COVID-19) is an acute infection of the respiratory tract that emerged in December 2019 in Wuhan, China. It was quickly established that both the symptoms and the disease severity may vary from one case to another and several
Publikováno v:
ISBI
The shortage of Radiologists is inspiring the development of Deep Learning (DL) based solutions for detecting cardio, thoracic and pulmonary pathologies in Chest radiographs through multi-institutional collaborations. However, sharing the training da
Autor:
Arun Dewan, Vivek Nangia, Sujeet Jha, Akansha Tyagi, Akshay Kanakan, Poonam Das, Avinash Chakravarthi, Varma Konala, Swati Waghdhare, Samreen Siddiqui, Ramanathan Sethuraman, M. M. Srivastava, Rajesh Pandey, Madhuri Namagiri, P. K. Vinod, Akshit Garg, Sandeep Budhiraja, U. Deva Priyakumar, Johnny Jacob, Akshaya Karthikeyan, Bansidhar Tarai, C. Subramanian, Debasish Dash, Neha Mishra, Shanmukh Alle, Anurag Agrawal, Pranjal Pratim Hazarika
The clinical course of coronavirus disease 2019 (COVID-19) infection is highly variable with the vast majority recovering uneventfully but a small fraction progressing to severe disease and death. Appropriate and timely supportive care can reduce mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4732eaf97b4ba0348500116d5030777
https://doi.org/10.1101/2020.12.19.20248524
https://doi.org/10.1101/2020.12.19.20248524
Publikováno v:
EMBC
Chest radiographs are primarily employed for the screening of cardio, thoracic and pulmonary conditions. Machine learning based automated solutions are being developed to reduce the burden of routine screening on Radiologists, allowing them to focus