Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Manisha T"'
Autor:
Shenbagavalli S, Ashok Kumar Subramaniyam, Yuvaraj Radhakrishnan, Thalapathy Ramkumar, Venkatesan R, Manisha T
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 7, Pp 3-7 (2024)
Background: A COVID-19 infection can result in a variety of symptoms. Findings must be carefully reviewed because there is still a dispute over the potential involvement of the audiovestibular system. Moreover, there is debate over the intrauterine t
Externí odkaz:
https://doaj.org/article/f83f1c4db6254a8b9d5674d560c3f4b2
Autor:
Verma, Juhi, Rao, Namrata, Kulshrestha, Manish R., Tiwari, Vandana, Sharma, Manisha T., Chandra, Abhilash
Publikováno v:
Toxicology & Environmental Health Sciences; Sep2024, Vol. 16 Issue 3, p299-309, 11p
Autor:
Mukherjee, Anwesha, Patel, Vishwata, Shah, Manisha T., Jadhav, Dipak A., Munshi, Nasreen S., Chendake, Ashvini D., Pant, Deepak
Publikováno v:
In Journal of Power Sources 1 January 2022 517
Publikováno v:
In Journal of Environmental Management 15 November 2021 298
Autor:
Satyanarayana, G.N.V, Du, Jun, Asati, Ankita, Pandey, Alok K., Kumar, Anupama, Sharma, Manisha T., Mudiam, Mohana Krishna Reddy
Publikováno v:
In Microchemical Journal December 2020 159
Autor:
Mamtani, Manju1,2 (AUTHOR) manju.mamtani@mnhresearch.com, Jaisinghani, Manisha T.1 (AUTHOR), Jaiswal, Sujeet G.1 (AUTHOR), Pipal, Kanchan V.1 (AUTHOR), Patel, Ashwini A.1 (AUTHOR), Kulkarni, Hemant1,2 (AUTHOR)
Publikováno v:
PLoS ONE. 9/10/2021, Vol. 16 Issue 9, p1-19. 19p.
Autor:
Manju Mamtani, Manisha T Jaisinghani, Sujeet G Jaiswal, Kanchan V Pipal, Ashwini A Patel, Hemant Kulkarni
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257390 (2021)
BackgroundEthnically endogamous populations can shed light on the genetics of type 2 diabetes. Such studies are lacking in India. We conducted this study to determine the genetic and environmental contributions of anthropometric traits to type 2 diab
Externí odkaz:
https://doaj.org/article/d57234af55474b6680f542812cee661a
Machine-learning algorithm to non-invasively detect diabetes and pre-diabetes from electrocardiogram
Autor:
Anoop R Kulkarni, Ashwini A Patel, Kanchan V Pipal, Sujeet G Jaiswal, Manisha T Jaisinghani, Vidya Thulkar, Lumbini Gajbhiye, Preeti Gondane, Archana B Patel, Manju Mamtani, Hemant Kulkarni
Publikováno v:
BMJ Innovations. 9:32-42
ObjectivesEarly detection is of crucial importance for prevention of type 2 diabetes and pre-diabetes. Diagnosis of these conditions relies on the oral glucose tolerance test and haemoglobin A1c estimation which are invasive and challenging for large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c2d581ebcbd29684e5c829d7e0600fe
https://doi.org/10.1136/bmjinnov-2021-000759
https://doi.org/10.1136/bmjinnov-2021-000759
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of Data, Information and Management; 20240101, Issue: Preprints p1-10, 10p