Browsing by Author "Maneesh Kumar Gupta"

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Cytokine gene variants and socio-demographic characteristics as predictors of cervical cancer: A machine learning approach
(Elsevier Ltd, 2021) Manoj Kaushik; Rakesh Chandra Joshi; Atar Singh Kushwah; Maneesh Kumar Gupta; Monisha Banerjee; Radim Burget; Malay Kishore Dutta
Cervical cancer is still one of the most prevalent cancers in women and a significant cause of mortality. Cytokine gene variants and socio-demographic characteristics have been reported as biomarkers for determining the cervical cancer risk in the Indian population. This study was designed to apply a machine learning-based model using these risk factors for better prognosis and prediction of cervical cancer. This study includes the dataset of cytokine gene variants, clinical and socio-demographic characteristics of normal healthy control subjects, and cervical cancer cases. Different risk factors, including demographic details and cytokine gene variants, were analysed using different machine learning approaches. Various statistical parameters were used for evaluating the proposed method. After multi-step data processing and random splitting of the dataset, machine learning methods were applied and evaluated with 5-fold cross-validation and also tested on the unseen data records of a collected dataset for proper evaluation and analysis. The proposed approaches were verified after analysing various performance metrics. The logistic regression technique achieved the highest average accuracy of 82.25% and the highest average F1-score of 82.58% among all the methods. Ridge classifiers and the Gaussian Naïve Bayes classifier achieved the highest sensitivity—85%. The ridge classifier surpasses most of the machine learning classifiers with 84.78% accuracy and 97.83% sensitivity. The risk factors analysed in this study can be taken as biomarkers in developing a cervical cancer diagnosis system. The outcomes demonstrate that the machine learning assisted analysis of cytokine gene variants and socio-demographic characteristics can be utilised effectively for predicting the risk of developing cervical cancer. © 2021 Elsevier Ltd
Ethnopharmacological properties and Nutraceutical potential of Moringa oleifera
(Elsevier B.V., 2022) Dipendra Kumar Mahato; Raveena Kargwal; Madhu Kamle; Bharti Sharma; Shikha Pandhi; Sadhna Mishra; Akansha Gupta; M.M. Chayan Mahmud; Maneesh Kumar Gupta; Lal Bihari Singha; Pradeep Kumar
Background: Moringa oleifera Lam (family Moringaceae) is a plant innate to India and has now been cultivated in various other regions of the world. It is extensively grown for its highly nutritious plant parts as a source of various nutrients like proteins, vitamins, minerals, and phytonutrients like carotenoids, polyphenols, flavonoids, alkaloids, and tannins, etc. It has been widely stimulated in the regions of chronic as a nutritional supplement for infants and children. Methods: The search tools like Web of Science, PubMed, Google Scholar, SciFinder, Cochrane Library, Scopus, and Science Direct databases were used for a thorough literature search till 2021. Results: In this review, the diversified phytochemical profile and high therapeutically potential have been documented. The current review intends to present an updated comprehensive overview of this versatile plant's nutritional value, therapeutic components, and ethnopharmacological properties. Conclusion: This plant has gained immense potential and increasing exploration as a nutraceutical. The ethnopharmacological properties of various compounds, along with their mode of action, are discussed briefly. Also, relevant pre-clinical and clinical trials are highlighted, which are in great demand and need further in-depth investigation in the future. © 2021 The Author(s)