Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Chandra Prakash V Serkad"'
Autor:
Dinesh Chandra Doval, Anurag Mehta, S.P. Somashekhar, Aparna Gunda, Gurpreet Singh, Amanjit Bal, Siddhant Khare, Chandra Prakash V Serkad, Manjula Adinarayan, Naveen Krishnamoorthy, Devanhalli Govinda Vijay, Radha Anantakrishnan, G.S. Bhattacharyya, Manjiri M. Bakre
Publikováno v:
Breast, Vol 59, Iss , Pp 1-7 (2021)
Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is critical to plan precise therapy. CanAssist Breast (CAB) assesses recurrence risk based on tumor biology using artificial intelligence-based approach
Externí odkaz:
https://doaj.org/article/37d33ca9bd764c319e1199039a81fc60
Autor:
Aditya K. Sengupta, Aparna Gunda, Sukriti Malpani, Chandra Prakash V. Serkad, Chetana Basavaraj, Ashok Bapat, Manjiri M. Bakre
Publikováno v:
Cancer Medicine, Vol 9, Iss 21, Pp 7810-7818 (2020)
Abstract Background CanAssist Breast (CAB) is a prognostic test for early stage hormone receptor‐positive (HR+), human epidermal growth factor receptor 2 negative (HER2−) breast cancer patients, validated on Indian and Caucasian patients. The 21
Externí odkaz:
https://doaj.org/article/ecf2a697530b470ca1b26e99421d37d3
Autor:
Arun Kumar Attuluri, Chandra Prakash V. Serkad, Aparna Gunda, Charusheila Ramkumar, Chetana Basavaraj, Ljubomir Buturovic, Lekshmi Madhav, Nirupama Naidu, Naveen Krishnamurthy, R. Prathima, Suchita Kanaldekar, Manjiri M. Bakre
Publikováno v:
BMC Cancer, Vol 19, Iss 1, Pp 1-10 (2019)
Abstract Background CanAssist-Breast is an immunohistochemistry based test that predicts risk of distant recurrence in early-stage hormone receptor positive breast cancer patients within first five years of diagnosis. Immunohistochemistry gradings fo
Externí odkaz:
https://doaj.org/article/2f220efa6fd54db491fdcb096acc2418
Autor:
H Fiegl, Manjiri M Bakre, S.P. Somashekhar, Christine Brunner, Aparna Gunda, Cristina Saura, Aditya K. Sengupta, Chandra Prakash V Serkad, Susanne Sprung, Patricia Gomez, Daniel Egle, José Antonio Jiménez, Vicente Peg
Publikováno v:
Cancer Research. 81:PS4-47
Background: CanAssist Breast (CAB) is a prognostic test for early stage hormone receptor positive breast cancer patients, that predicts risk of distant recurrence in five years post-diagnosis. Its support vector machine-based algorithm utilizes immun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf029c53d97a30886a39c075e8e3306d
https://doi.org/10.1158/1538-7445.sabcs20-ps4-47
https://doi.org/10.1158/1538-7445.sabcs20-ps4-47
Autor:
Manjiri M Bakre, Aditya K. Sengupta, Chandra Prakash V Serkad, Sukriti Malpani, Aparna Gunda, Ashok Bapat, Chetana Basavaraj
Publikováno v:
Cancer Medicine
Cancer Medicine, Vol 9, Iss 21, Pp 7810-7818 (2020)
Cancer Medicine, Vol 9, Iss 21, Pp 7810-7818 (2020)
Background CanAssist Breast (CAB) is a prognostic test for early stage hormone receptor‐positive (HR+), human epidermal growth factor receptor 2 negative (HER2−) breast cancer patients, validated on Indian and Caucasian patients. The 21‐gene si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf9b72e506e7322ddc9c23f9e3633f88
https://doi.org/10.1002/cam4.3495
https://doi.org/10.1002/cam4.3495
Autor:
Chandra Prakash V, Serkad, Arun Kumar, Attuluri, Chetana, Basavaraj, Manjula, Adinarayan, Naveen, Krishnamoorthy, Savitha B, Ananthamurthy, Siraganahalli E, Mallikarjuna, Manjiri M, Bakre
Publikováno v:
Int J Clin Exp Pathol
CanAssist Breast (CAB) is a prognostic test for early-stage hormone receptor-positive invasive breast cancer. The test involves performing immunohistochemical (IHC) analysis for five biomarkers, namely CD44, ABCC4, ABCC11, N-cadherin, and pan-cadheri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::3f1110b72af2b1cb6776f4ed3f5bde57
https://pubmed.ncbi.nlm.nih.gov/34760037
https://pubmed.ncbi.nlm.nih.gov/34760037
Autor:
Naveen Krishnamoorthy, Gurpreet Singh, Anurag Mehta, Chandra Prakash V Serkad, Aparna Gunda, Siddhant Khare, Amanjit Bal, Manjiri M Bakre, Radha Anantakrishnan, Devanhalli Govinda Vijay, Gouri Shankar Bhattacharyya, Manjula Adinarayan, S.P. Somashekhar, Dinesh Chandra Doval
Publikováno v:
The Breast : Official Journal of the European Society of Mastology
Breast, Vol 59, Iss, Pp 1-7 (2021)
Breast, Vol 59, Iss, Pp 1-7 (2021)
Accurate recurrence risk assessment in hormone receptor positive, HER2/neu negative breast cancer is critical to plan precise therapy. CanAssist Breast (CAB) assesses recurrence risk based on tumor biology using artificial intelligence-based approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::32498b5613d0db8033c6bd9ea5ee7f27
https://pubmed.ncbi.nlm.nih.gov/34098459
https://pubmed.ncbi.nlm.nih.gov/34098459
Autor:
Naveen Krishnamurthy, Charusheila Ramkumar, Arun Kumar Attuluri, Aparna Gunda, Chandra Prakash V Serkad, Nirupama Naidu, Manjiri M Bakre, Suchita Kanaldekar, Lekshmi Madhav, Prathima R, Ljubomir Buturovic, Chetana Basavaraj
Publikováno v:
BMC Cancer
BMC Cancer, Vol 19, Iss 1, Pp 1-10 (2019)
BMC Cancer, Vol 19, Iss 1, Pp 1-10 (2019)
Background CanAssist-Breast is an immunohistochemistry based test that predicts risk of distant recurrence in early-stage hormone receptor positive breast cancer patients within first five years of diagnosis. Immunohistochemistry gradings for 5 bioma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed46c6325617cdf55a40082e2c99a49a
https://pubmed.ncbi.nlm.nih.gov/30894144
https://pubmed.ncbi.nlm.nih.gov/30894144