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1,174 results on '"Kaur, Inderjeet"'

3. Detecting Diabetes Retinopathy Through Machine Learning

Author

Kaur, Inderjeet, Kumar, Lucknesh, Garg, Akshat, Saini, Akash, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Tan, Kay Chen, Series Editor, Shukla, Balvinder, editor, Murthy, B. K., editor, Hasteer, Nitasha, editor, Kaur, Harpreet, editor, and Van Belle, Jean-Paul, editor

Published
2024
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15. Automated Stacking Ensemble Model for Forecasting COVID-19 Cases

Author

Nagvanshi, Suraj Singh, Kaur, Inderjeet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Ranganathan, G., editor, Fernando, Xavier, editor, and Rocha, Álvaro, editor

Published
2023
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16. A Hybrid Approach Using Convolutional Neural Network Model and Image Processing for Crop Disease Detection

Author

Gupta, Komal, Kaur, Inderjeet, Kanaujiya, Hina, Agrawal, Divika, Priya, Deeksha, Parashar, Binayak, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Khanna, Ashish, editor, Gupta, Deepak, editor, Kansal, Vineet, editor, Fortino, Giancarlo, editor, and Hassanien, Aboul Ella, editor

Published
2023
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17. Forecasting of COVID-19 Cases in India Using Machine Learning: A Critical Analysis

Author

Nagvanshi, Suraj Singh, Kaur, Inderjeet, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Khanna, Ashish, editor, Gupta, Deepak, editor, Kansal, Vineet, editor, Fortino, Giancarlo, editor, and Hassanien, Aboul Ella, editor

Published
2023
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18. Hybrid CNN-SVM Model for Face Mask Detector to Protect from COVID-19

Author

Agarwal, Charu, Kaur, Inderjeet, Yadav, Sunita, Tavares, João Manuel R. S., Series Editor, Jorge, Renato Natal, Series Editor, Frangi, Alejandro, Editorial Board Member, BAJAJ, CHANDRAJIT, Editorial Board Member, Onate, Eugenio, Editorial Board Member, Perales, Francisco José, Editorial Board Member, Holzapfel, Gerhard A., Editorial Board Member, Vilas-Boas, João, Editorial Board Member, Weiss, Jeffrey, Editorial Board Member, Middleton, John, Editorial Board Member, Garcia Aznar, Jose Manuel, Editorial Board Member, Nithiarasu, Perumal, Editorial Board Member, Tamma, Kumar K., Editorial Board Member, Cohen, Laurent, Editorial Board Member, Doblare, Manuel, Editorial Board Member, Prendergast, Patrick J., Editorial Board Member, Löhner, Rainald, Editorial Board Member, Kamm, Roger, Editorial Board Member, Li, Shuo, Editorial Board Member, Hughes, Thomas J.R., Editorial Board Member, Zhang, Yongjie, Editorial Board Member, Gupta, Mousumi, editor, Ghatak, Sujata, editor, Gupta, Amlan, editor, and Mukherjee, Abir Lal, editor

Published
2023
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22. Calotropin from milk of Calotropis gigantean a potent inhibitor of COVID 19 corona virus infection by Molecular docking studies

Author

Sharma, Arun Dev and Kaur, Inderjeet

Subjects
Quantitative Biology - Biomolecules
Abstract

SARS-CoV-2 (COVID-19), a positive single stranded RNA virus, member of corona virus family, is spreading its tentacles across the world due to lack of drugs at present. Being associated with cough, fever, and respiratory distress, this disease caused more than 15 % mortality worldwide. Due to its vital role in virus replication, Mpro/3CLpro has recently been regarded as a suitable target for drug design. The current study focused on the inhibitory activity of Calotropin, a component from milk of Calotropis gigantean, against Mpro protein from SARS-CoV-2. Till date there is no work is undertaken on in-silico analysis of this compound against Mpro of COVID-19 protein. In the present study, molecular docking studies were conducted by using Patchdock tool. Protein Interactions tool was used for protein interactions. The calculated parameters such as docking score indicated effective binding of Calotropin to Mpro protein. Interactions results indicated that, Mpro/ Calotropin complexes forms hydrophobic interactions. Therefore, Calotropin may represent potential herbal treatment to act as COVID-19 Mpro inhibitor. However, further research is necessary to investigate their potential medicinal use., Comment: arXiv admin note: substantial text overlap with arXiv:2004.00217

Published
2020

25. Molecular docking studies on Jensenone from eucalyptus essential oil as a potential inhibitor of COVID 19 corona virus infection

Author

Sharma, Arun Dev and Kaur, Inderjeet

Subjects
Quantitative Biology - Biomolecules
Abstract

COVID-19, a member of corona virus family is spreading its tentacles across the world due to lack of drugs at present. However, the main viral proteinase (Mpro/3CLpro) has recently been regarded as a suitable target for drug design against SARS infection due to its vital role in polyproteins processing necessary for coronavirus reproduction. The present in silico study was designed to evaluate the effect of Jensenone, a essential oil component from eucalyptus oil, on Mpro by docking study. In the present study, molecular docking studies were conducted by using 1-click dock and swiss dock tools. Protein interaction mode was calculated by Protein Interactions Calculator.The calculated parameters such as binding energy, and binding site similarity indicated effective binding of Jensenone to COVID-19 proteinase. Active site prediction further validated the role of active site residues in ligand binding. PIC results indicated that, Mpro/ Jensenone complexes forms hydrophobic interactions, hydrogen bond interactions and strong ionic interactions. Therefore, Jensenone may represent potential treatment potential to act as COVID-19 Mpro inhibitor. However, further research is necessary to investigate their potential medicinal use., Comment: 10 p. Research and reviews in biotechnology and biosciences 2020,7,59-66

Published
2020

41. Targeting collagen XVIII improves the efficiency of ErbB inhibitors in breast cancer models

Author

Devarajan, Raman, Izzi, Valerio, Peltoketo, Hellevi, Rask, Gunilla, Kauppila, Saila, Vaisanen, Marja-Riitta, Ruotsalainen, Heli, Martinez-Nieto, Guillermo, Karppinen, Sanna-Maria, Vaisanen, Timo, Kaur, Inderjeet, Koivunen, Jussi, Sasaki, Takako, Winqvist, Robert, Manninen, Aki, Warnberg, Fredrik, Sund, Malin, Pihlajaniemi, Taina, and Heljasvaara, Ritva

Subjects
Tyrosine -- Health aspects -- Analysis, Metastasis -- Prognosis -- Drug therapy, Stem cells -- Analysis -- Health aspects, Collagen -- Analysis -- Health aspects, Integrins -- Health aspects -- Analysis, Cancer -- Care and treatment, Tumor antigens -- Health aspects -- Analysis, Breast cancer -- Prognosis -- Drug therapy, Epidermal growth factor -- Health aspects -- Analysis, Health care industry
Abstract

The tumor extracellular matrix (ECM) critically regulates cancer progression and treatment response. Expression of the basement membrane component collagen XVIII (ColXVIII) is induced in solid tumors, but its involvement in tumorigenesis has remained elusive. We show here that ColXVIII was markedly upregulated in human breast cancer (BC) and was closely associated with a poor prognosis in high-grade BCs. We discovered a role for ColXVIII as a modulator of epidermal growth factor receptor tyrosine kinase (ErbB) signaling and show that it forms a complex with ErbB1 and -2 (also known as EGFR and human epidermal growth factor receptor 2 [HER2]) and [alpha]6-integrin to promote cancer cell proliferation in a pathway involving its N-terminal portion and the MAPK/ERK1/2 and PI3K/AKT cascades. Studies using Col18a1 mouse models crossed with the mouse mammary tumor virus-polyoma virus middle T antigen (MMTV-PyMT) mammary carcinogenesis model showed that ColXVIII promoted BC growth and metastasis in a tumor cell-autonomous manner. Moreover, the number of mammary cancer stem cells was significantly reduced in the MMTV-PyMT and human cell models upon ColXVIII inhibition. Finally, ablation of ColXVIII substantially improved the efficacy of ErbB-targeting therapies in both preclinical models. In summary, ColXVIII was found to sustain the stemness properties of BC cells and tumor progression and metastasis through ErbB signaling, suggesting that targeting ColXVIII in the tumor milieu may have important therapeutic potential., Introduction Breast cancer (BC) is the most common cancer among women, with over 2 million new cases diagnosed in 2020, and accounts for 25% of all female cancers (1). Treatment [...]

Published
2023
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50. Diabetes, Diabetic Retinopathy, and Inflammatory Disorders.

Author

Sheemar, Abhishek, Goel, Pallavi, Thakur, Pratima Singh, Takkar, Brijesh, Kaur, Inderjeet, Rani, Padmaja K., Tyagi, Mudit, Basu, Soumyava, and Venkatesh, Pradeep

Subjects
EYE inflammation, ANTI-inflammatory agents, DIABETES, INSULIN resistance, RHEUMATOID arthritis, DIABETIC retinopathy
Abstract

This review summarizes the impact of systemic and ocular inflammatory disorders on diabetes mellitus (DM) and diabetic retinopathy (DR). Local inflammation is a key pathology in diabetic retinopathy (DR) and is also an evolving target for clinical therapy. The legacy effects of local inflammation at the intracellular level make DR a persistent self-driven vicious process. Ocular inflammation is accompanied as well as incited by systemic inflammation due to diabetes mellitus (DM) itself. Over the years, a multitude of studies have evaluated the impact of systemic inflammatory disorders (SIDs, like rheumatoid arthritis, lupus, psoriasis, etc.) and anti-inflammatory drugs prescribed for managing them on manifestations of DM. Recent studies have indicated increased insulin resistance to be a result of chronic inflammation, and the anti-inflammatory drugs to have a protective effect towards DM. Very few studies have evaluated the impact of SIDs on DR. Furthermore, the evidence from these studies is conflicting, and while local anti-inflammatory therapy has shown a lot of clinical potential for use in DR, the results of systemic anti-inflammatory therapies have been inconsistent. The impact of local ocular inflammation due to uveitis on DR is a crucial aspect that has not been evaluated well at present. Initial pre-clinical studies and small-sized clinical reports have shown a strong and positive relationship between the presence of uveitis and the severity of DR as well as its progression, while larger cross-sectional patient surveys have refuted the same. The long term impact of ocular inflammation due to uveitis on DR needs to be studied while adjusting for confounders. [ABSTRACT FROM AUTHOR]

Published
2024
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