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M
P. Singh, Ujjainiya, R., Prakash, S., Naushin, S., Sardana, V., Bhatheja, N., Singh, A. Pratap, Barman, J., Kumar, K., Gayali, S., Khan, R., Rawat, B. Singh, Tallapaka, K. Bharadwaj, Anumalla, M., Lahiri, A., Kar, S., Bhosale, V., Srivastava, M., Mugale, M. Nilakanth, Pandey, C. P., Khan, S., Katiyar, S., Raj, D., Ishteyaque, S., Khanka, S., Rani, A., Promila,, Sharma, J., Seth, A., Dutta, M., Saurabh, N., Veerapandian, M., Venkatachalam, G., Bansal, D., Gupta, D., Halami, P. M., Peddha, M. Serva, Veeranna, R. P., Pal, A., Singh, R. Kumar, Anandasadagopan, S. Kumar, Karuppanan, P., Rahman, S. Nasar, Selvakumar, G., Venkatesan, S., Karmakar, M. Kumar, Sardana, H. Kumar, Kothari, A., Parihar, D. Singh, Thakur, A., Saifi, A., Gupta, N., Singh, Y., Reddu, R., Gautam, R., Mishra, A., Mishra, A., Gogeri, I., Rayasam, G., Padwad, Y., Patial, V., Hallan, V., Singh, D., Tirpude, N., Chakrabarti, P., Maity, S. Krishna, Ganguly, D., Sistla, R., Balthu, N. Kumar, Kumar, K. A., Ranjith, S., B. Kumar, V., Jamwal, P. Singh, Wali, A., Ahmed, S., Chouhan, R., Gandhi, S. G., Sharma, N., Rai, G., Irshad, F., Jamwal, V. Lakshmi, Paddar, M. Ahmad, Khan, S. Ullah, Malik, F., Ghosh, D., Thakkar, G., Barik, S. K., Tripathi, P., Satija, Y. Kumar, Mohanty, S., Khan, M. Tauseef, Subudhi, U., Sen, P., Kumar, R., Bhardwaj, A., Gupta, P., Sharma, D., Tuli, A., Chaudhuri, S. Ray, Krishnamurthi, S., Prakash, L., V. Rao, C., Singh, B. N., Chaurasiya, A., Chaurasiya, M., Bhadange, M., Likhitkar, B., Mohite, S., Patil, Y., Kulkarni, M., Joshi, R., Pandya, V., Mahajan, S., Patil, A., Samson, R., Vare, T., Dharne, M., Giri, A., Mahajan, S., Paranjape, S., G. Sastry, N., Kalita, J., Phukan, T., Manna, P., Romi, W., Bharali, P., Ozah, D., Sahu, R. K., Dutta, P., Singh, M. Goutam, Gogoi, G., Tapadar, Y. Begam, Babu, E. V. S. S. K., Sukumaran, R. K., Nair, A. R., Puthiyamadam, A., Valappil, P. Kooloth, Prasannakumari, A. Velayudhan, Chodankar, K., Damare, S., Agrawal, V. Varun, Chaudhary, K., Agrawal, A., Sengupta, S., and Dash, D., “Machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys”, Computers in Biology and Medicine, vol. 146, p. 105419, 2022.
G
V. Rajput, Pramanik, R., Malik, V., Yadav, R., Samson, R., Kadam, P., Bhalerao, U., Tupekar, M., Deshpande, D., Shah, P., Shashidhara, L. S., Boargaonkar, R., Patil, D., Kale, S., Bhalerao, A., Jain, N., Kamble, S., Dastager, S., Karmodiya, K., and Dharne, M., “Genomic surveillance reveals early detection and transition of delta to omicron lineages of SARS-CoV-2 variants in wastewater treatment plants of Pune, India”, Environmental Science and Pollution Research , vol. 30, no. 56, pp. 118976-118988, 2023.
B
R. Samson, Navale, G. R., and Dharne, M. S., “Biosensors: frontiers in rapid detection of COVID-19”, 3 Biotech, vol. 10, no. 9, p. 385, 2020.