Ridam Pal, Sanjana S, Deepak Mahto, Kriti Agrawal, Gopal Mengi, Sargun Nagpal, Akshaya Devadiga, Tavpritesh Sethi Characterizing the Emotion Carriers of COVID-19 Misinformation and Their Impact on Vaccination Outcomes in India and the United States doi: https://doi.org/10.48550/arXiv.2306.13954
Aditya Nagori, Pradeep Singh, Sameena Firdos, Vanshika Vats, Arushi Gupta, Harsh Bandhey, Anushtha Kalia, Arjun Sharma, Prakriti Ailavadi, Raghav Awasthi, Wrik Bhadra, Ayushmaan Kaul, Rakesh Lodha, Tavpritesh Sethi Generalized Prediction of Hemodynamic Shock in Intensive Care UnitsA Prospectively Validated Generalizable Model for Outcome Prognostication Using Shock Index in Intensive Care Units. doi: https://doi.org/10.1101/2021.01.07.21249121
Jasmine Kaur, Aditya Nagori, Balaji Veeraraghavan, Vinod Ohri, Rakesh Lodha, Kamini Walia, Harpreet Singh, Tavpritesh Sethi. 5-Year Trends and Associations of Antimicrobial Resistance in Urinary Tract Infections in India (2017-2021): A Multi-Centric, Retrospective, Longitudinal Analysis. doi: https://doi.org/10.1016/j.ibmed.2022.100060
Harshita Chopra, Aniket Vashishtha, Ridam Pal, Ashima Ashima, Ananya Tyagi, Tavpritesh Sethi. Mining Trends of COVID-19 Vaccine Beliefs on Twitter With Lexical Embeddings: Longitudinal Observational Study. doi: 10.2196/34315
Raghav Awasthi, Keerat Kaur Guliani, Saif Ahmad Khan, Aniket Vashishtha, Mehrab Singh Gill, Arshita Bhatt, Aditya Nagori, Aniket Gupta, Ponnurangam Kumaraguru, Tavpritesh Sethi. VacSIM: Learning effective strategies for COVID-19 vaccine distribution using reinforcement learning. doi: https://doi.org/10.1016/j.ibmed.2022.100060
Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Amogh Gulati, Ponnurangam Kumaraguru, Tavpritesh Sethi*. Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature with Dynamic Word Embedding Networks and Machine Learning. doi: https://doi.org/10.2196/34067
Vanshika Vats, Aditya Nagori, Pradeep Singh, Raman Dutt4, Harsh Bandhey, Mahika Wason1, Rakesh Lodha, Tavpritesh Sethi. Early Prediction of Hemodynamic Shock in Pediatric Intensive Care Units With Deep Learning on Thermal Videos doi: https://doi.org/10.3389/fphys.2022.862411
Sargun Nagpal, Ridam Pal, Ashima, Ananya Tyagi, Sadhana Tripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, Rintu Kutum, Tavpritesh Sethi Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning.doi : https://doi.org/10.3389/fgene.2022.858252
Pradeep Singh, Aditya Nagori, Tavpritesh Sethi Early prediction of hypothermia in pediatric intensive care units using machine learning. doi: 10.3389/fphys.2022.921884
Indra Prakash Jha, Raghav Awasthi, Ajit Kumar, Vibhor Kumar, Tavpritesh Sethi. Learning the Mental Health Impact of COVID-19 in the United States with Explainable Artificial Intelligence. doi: https://doi.org/10.1101/2020.07.19.20157164
Ridam Pal, Harshita Chopra, Raghav Awasthi, Harsh Bandhey, Aditya Nagori, Amogh Gulati, Ponnurangam Kumaraguru, Tavpritesh Sethi*. Predicting Emerging Themes in Rapidly Expanding COVID-19 Literature with Dynamic Word Embedding Networks and Machine Learning. doi: https://doi.org/10.1101/2021.01.14.21249855
Ayushi Gupta, Saad Ahmad, Atharva Sune, Chandan Gupta, Harleen Kaur, Rintu Kutum, Tavpritesh Sethi Evaluating Sample Augmentation in Microarray Datasets with Generative Models: A Comparative Pipeline and Insights in Tuberculosis doi: https://doi.org/10.1101/2021.05.03.442476
Sargun Nagpal, Ridam Pal, Ashima, Ananya Tyagi, Sadhana Tripathi, Aditya Nagori, Saad Ahmad, Hara Prasad Mishra, Rintu Kutum, Tavpritesh Sethi Genomic Surveillance of COVID-19 Variants with Language Models and Machine Learning. https://doi.org/10.1101/2021.05.25.445601
Aditya Nagori, Pradeep Singh, Sameena Firdos, Vanshika Vats, Arushi Gupta, Harsh Bandhey, Anushtha Kalia, Arjun Sharma, Prakriti Ailavadi, Raghav Awasthi, Wrik Bhadra, Ayushmaan Kaul, Rakesh Lodha, Tavpritesh Sethi Generalized Prediction of Hemodynamic Shock in Intensive Care Units doi: https://doi.org/10.1101/2021.01.07.21249121
Rohan Pandey, Vaibhav Gautam, Ridam Pal, Harsh Bandhey, Lovedeep Singh Dhingra, Himanshu Sharma, Chirag Jain, Kanav Bhagat, Arushi Arushi, Lajjaben Patel, Mudit Agarwal, Samprati Agrawal, Rishabh Jalan, Ayush Garg, Akshat Wadhwa, Vihaan Misra, Yashwin Agrawal, Bhavika Rana, Ponnurangam Kumaraguru, Tavpritesh Sethi*. A Machine Learning Application for Raising WASH Awareness in the Times of Covid-19 Pandemic.
Jyotsana Mehra, Vikram Kumar, Priyansh Srivastava, Tavpritesh Sethi*. lncRNA Mediated Hijacking of T-cell Hypoxia Response Pathway by Mycobacterium Tuberculosis Predicts Latent to Active Progression in Humans. doi: https://doi.org/10.1101/2020.04.11.037176
Raghav Awasthi, Ridam Pal, Harshita Chopra, Harsh Bandhey, Pradeep Singh, Aditya Nagori, Suryatej Reddy, Amogh Gulati, Ponnurangam Kumaraguru, Tavpritesh Sethi*. CovidNLP: A Web Application for Distilling Systemic Implications of COVID-19 Pandemic with Natural Language Processing. doi: https://doi.org/10.1101/2020.04.25.20079129
Baani Leen Kaur Jolly, Palash Aggrawal, Amogh Gulati, Amarjit Singh Sethi, Ponnurangam Kumaraguru, Tavpritesh Sethi*. Psychometric Analysis and Coupling of Emotions Between State Bulletins and Twitter in India during COVID-19 Infodemic.
Aditya Nagori, Raghav Awasthi, Vineet Joshi, Suryatej Reddy Vyalla, Akhil Jarodia, Chandan Gupta, Amogh Gulati, Harsh Bandhey, Ponnurangam Kumaraguru, Tavpritesh Sethi*. Less Wrong COVID-19 Projections With Interactive Assumptions. doi: https://doi.org/10.1101/2020.06.06.20124495
Tavpritesh Sethi, Saurabh Kedia, Raghav Awasthi, Rakesh Lodha, Vineet Ahuja. A Counterfactual Graphical Model Reveals Economic and Sociodemographic Variables as Key Determinants of Country-Wise COVID-19 Burden. doi: https://doi.org/10.1101/2020.06.16.20132563
Raghav Awasthi, Aditya Nagori, Pradeep Singh, Ridam Pal, Vineet Joshi, Tavpritesh Sethi*. Temperature and Humidity Do Not Influence Global COVID-19 Incidence as Inferred from Causal Models. doi: https://doi.org/10.1101/2020.06.29.20142307
Raghav Awasthi, Keerat Kaur Guliani, Arshita Bhatt, Mehrab Singh Gill, Aditya Nagori, Ponnurangam Kumaraguru, Tavpritesh Sethi*. VacSIM: Learning Effective Strategies for COVID-19 Vaccine Distribution using Reinforcement Learning.
Ridam Pal, Rohan Pandey, Vaibhav Gautam, Kanav Bhagat, Tavpritesh Sethi. A Cross-lingual Natural Language Processing Framework for Infodemic Management.
Asmit Kumar Singh, Paras Mehan, Divyanshu Sharma, Rohan Pandey, Tavpritesh Sethi, Ponnurangam Kumaraguru. (Un)Masked COVID-19 Trends from Social Media.
Aditya Nagori, Anushtha Kalia, Arjun Sharma, Pradeep Singh, Harsh Bandhey, Prakriti Ailavadi, Raghav Awasthi, Wrik Bhadra, Ayushmaan Kaul, Rakesh Lodha, Tavpritesh Sethi*. Generalized Prediction of Shock in Intensive Care Units using Deep Learning. doi: https://doi.org/10.1101/2021.01.07.21249121
Vanshika Vats, Pradeep Singh, Aditya Nagori, Raman Dutt, Harsh Bandhey, Mahika Wason, Rakesh Lodha, Tavpritesh Sethi*. Early Prediction of Hemodynamic Shock in the ICU with Deep Learning on Thermal Videos. doi:https://doi.org/10.1101/2020.11.12.20230441
Aditya Nagori, Lovedeep Singh Dhingra, Ambika Bhatnagar, Rakesh Lodha, Tavpritesh Sethi*. Predicting Hemodynamic Shock from Thermal Images using Machine Learning. Sci Rep. 2019 Jan 14;9(1):91.doi: 10.1038/s41598-018-36586-8.
Tavpritesh Sethi, Anant Mittal, Shubham Maheshwari, Samarth Chugh. Learning to Address Health Inequality in the United States with a Bayesian Decision Network. arXiv Prepr arXiv180909215. 2018. Accepted for publication and presentation in the Thirty-third AAAI conference in Artificial Intelligence, Honolulu, USA (Submissions 7700, accepted 1170, 15% acceptance rate).
Tavpritesh Sethi, Shubham Maheshwari, Aditya Nagori, Rakesh Lodha. Stewarding antibiotic stewardship in intensive care units with Bayesian artificial intelligence. Wellcome Open Res. 2018 Jun 18. .
Sindhu Sivanandan, Tavpritesh Sethi, Rakesh Lodha, Anu Thukral, Jeeva M Sankar, Ramesh Agarwal, et al. Target Oxygen Saturation Among Preterm Neonates on Supplemental Oxygen Therapy: A Quality Improvement Study. Indian Pediatr. 2018;55(9):793–6.
Kriti Kaushik, Ambily Sivadas, Shamsudheen K Vellarikkal, Ankit Verma, Rijith Jayarajan, Satyaprakash Pandey S, Tavpritesh Sethi, Souvik Maiti, Vinod Scaria, Sridhar Sivasubbu. RNA secondary structure profiling in zebrafish reveals unique regulatory features. BMC Genomics. 2018;19(1):147.
Kriti Sikri, Priyanka Duggal, Chanchal Kumar, Sakshi Dhingra Batra, Atul Vashist, Ashima Bhaskar, Kritika Tripathi, Tavpritesh Sethi, Amit Singh, Jaya Sivaswami Tyagi: Multifaceted remodeling by vitamin C boosts sensitivity of Mycobacterium tuberculosis subpopulations to combination treatment by anti-tubercular drugs. DOI:10.1016/j.redox.2017.12.020
Anirban Sinha, Koundinya Desiraju, Kunal Aggarwal, Rintu Kutum, Siddhartha Roy, Rakesh Lodha, S. K. Kabra, Balaram Ghosh, Tavpritesh Sethi*, Anurag Agrawal*: Exhaled breath condensate metabolome clusters for endotype discovery in asthma. Journal of Translational Medicine 12/2017; 15(1)., DOI:10.1186/s12967-017-1365-7 *Co-corresponding author
Pradeep Tiwari#, Rintu Kutum#, Tavpritesh Sethi#, Ankita Shrivastava, Bhushan Girase, Shilpi Aggarwal, Rutuja Patil, Dhiraj Agarwal, Pramod Gautam, Anurag Agrawal, Debasis Dash, Saurabh Ghosh, Sanjay Juvekar, Mitali Mukerji, Bhavana Prasher: Recapitulation of Ayurveda constitution types by machine learning of phenotypic traits. PLoS ONE 10/2017; 12(10):e0185380., DOI:10.1371/journal.pone.0185380 #Joint first author
Saransh Jain, Saurabh Kedia, Tavpritesh Sethi, Sawan Bopanna, Dawesh Prakash Yadav, Sandeep Goyal, Rajesh Padhan, Pratap Mouli Venigalla, Peush Sahni, Nihar Ranjan Dash, Sujoy Pal, Govind Makharia, Simon P L Travis, Vineet Ahuja: Predictors of long-term outcomes in patients with acute severe colitis: A Northern Indian cohort study: Acute severe colitis: Predictors of long-term outcome. Journal of Gastroenterology and Hepatology 08/2017;, DOI:10.1111/jgh.13921
Tavpritesh Sethi, Nigam H. Shah: Pharmacovigilance Using Textual Data: The Need to Go Deeper and Wider into the Con(text). Drug Safety 08/2017; 40(6)., DOI:10.1007/s40264-017- 0585-3
Saransh Jain, Saurabh Kedia, Tavpritesh Sethi, Sawan Bopanna, Dawesh Yadav, Sandeep Goyal, Pratap Mouli Venigalla, Peush Sahni, Nihar R. Dash, Sujoy Pal, Govind K. Makharia, Simon P. Travis, Vineet Ahuja: Predictors of Long-Term Outcomes in Patients with Acute Severe Ulcerative Colitis: A Northern Indian Cohort Study. Gastroenterology 04/2017; 152(5):S372., DOI:10.1016/S0016-5085(17)31492-0
Ambika Bhatnagar, Aditya Nagori, Richard Fletcher, Rakesh Lodha, Tavpritesh Sethi*: Leveraging Thermal Patterns in Children for Telemedicine: Role of Affordable Imagers, Smartphones and Data-analytics. Proceedings of the Special Collection on EGovernment Innovations in India - ICEGOV 17.; 03/2017, DOI:10.1145/3047273.3047376 *Corresponding author
Tavpritesh Sethi*#, Aditya Nagori, Ambika Bhatnagar, Priyanka Gupta, Richard Fletcher, Rakesh Lodha: Validating the Tele-diagnostic Potential of Affordable Thermography in a Big- data Data-enabled ICU. Proceedings of the Special Collection on EGovernment Innovations in India - ICEGOV 17.; 03/2017, DOI:10.1145/3055219.3055234 First and Corresponding author
Mohit Singla, Meenakshi Kar, Tavpritesh Sethi, Sushil K. Kabra, Rakesh Lodha, Anmol Chandele, Guruprasad R. Medigeshi: Immune Response to Dengue Virus Infection in Pediatric Patients in New Delhi, India—Association of Viremia, Inflammatory Mediators and Monocytes with Disease Severity. PLoS Neglected Tropical Diseases 03/2016; 10(3):e0004497., DOI:10.1371/journal.pntd.0004497
Abhimanyu, Mridula Bose, Mandira Varma-Basil, Ashima Jain, Tavpritesh Sethi, Pradeep Kumar Tiwari, Anurag Agrawal, Jayant Nagesh Banavaliker, Kumar Tapas Bhowmick: Establishment of Elevated Serum Levels of IL-10, IL-8 and TNF-β as Potential Peripheral Blood Biomarkers in Tubercular Lymphadenitis: A Prospective Observational Cohort Study. PLoS ONE 01/2016; 11(1):e0145576., DOI:10.1371/journal.pone.0145576
Sundeep Salvi, Komalkirti Apte, Sapna Madas, MBBS Monica Barne, Sushmeeta Chhowala, Tavpritesh Sethi, Kunal Aggarwal, Anurag Agrawal, Jaideep Gogtay: Articles Symptoms and medical conditions in 204 912 patients visiting primary health-care practitioners in India: a 1-day point prevalence study (the POSEIDON study). The Lancet Global Health 12/2015; 3(12):e776–e784., DOI:10.1016/S2214-109X(15)00152-7
Dinesh Raj, Rakesh Lodha, Aparna Mukherjee, Tavpritesh Sethi, Anurag Agrawal, Sushil Kumar Kabra: Fractional Exhaled Nitric Oxide (FENO) in Children with Acute Exacerbation of Asthma. Indian pediatrics 09/2013; 51(2)., DOI:10.1007/s13312-014-0351-x
Anirban Sinha, Amit Kumar Yadav, Samarpana Chakraborty, S. K. Kabra, R. Lodha, Manish Kumar, Ankur Kulshreshtra, Tavpritesh Sethi, Rajesh Pandey, Gaurav Malik, Saurabh Laddha, Arijit Mukhopadhyay, Debasis Dash, Balaram Ghosh, Anurag Agrawal: Exosome Enclosed MicroRNAs In Exhaled Breath Hold Potential For Biomarker Discovery in Pulmonary Diseases. Journal of Allergy and Clinical Immunology 07/2013;, DOI:10.1016/j.jaci.2013.03.035
Tanveer Ahmad#, Kunal Aggarwal#, Bijay Ranjan Pattnaik#, Shravani Mukherjee#, Tavpritesh Sethi et al: Computational classification of mitochondrial shapes reflects stress and redox state. Cell Death & Disease 01/2013; 4(1):e461., DOI:10.1038/cddis.2012.213 #Joint first authors
Samir K Brahmachari,[...], Tavpritesh Sethi, Amit Kumar Mandal, Arijit Mukhopadhyay, Rajni Rani: Presence of strong association of the major histocompatibility complex (MHC) class I allele HLA-A*26:01 with idiopathic hypoparathyroidism. The Journal of Clinical Endocrinology and Metabolism 06/2012; 97(9):E1820-4.
Anirban Sinha, Veda Krishnan, Tavpritesh Sethi, Siddhanta Roy, Balaram Ghosh, Rakesh Lodha, Sushil Kabra, Anurag Agrawal: Metabolomic signatures in nuclear magnetic resonance spectra of exhaled breath condensate identify asthma. European Respiratory Journal 02/2012; 39(2):500-2., DOI:10.1183/09031936.00047711
Tav Pritesh Sethi, Bhavana Prasher, Mitali Mukerji: Ayurgenomics: A New Way of Threading Molecular Variability for Stratified Medicine. ACS Chemical Biology 09/2011; 6(9):875-80., DOI:10.1021/cb2003016
Tavpritesh Sethi, Anurag Agrawal: Structure and function of the tuberculous lung: Considerations for inhaled therapies. Tuberculosis (Edinburgh, Scotland) 10/2010; 91(1):67- 70., DOI:10.1016/j.tube.2010.08.008
Shilpi Aggarwal,[...], T. P. Sethi, A K Mandal, A Mukhopadhyay: EGLN1 involvement in high- altitude adaptation revealed through genetic analysis of extreme constitution types defined in Ayurveda. Proc Natl Acad Sci U S A. 2010 Nov 2;107(44):18961-6. doi: 10.1073/pnas.1006108107.
Bhavana Prasher, Sapna Negi, Shilpi Aggarwal, Amit K Mandal, Tav P Sethi, Shailaja R Deshmukh, Sudha G Purohit, Shantanu Sengupta, Sangeeta Khanna, Farhan Mohammad,Gaurav Garg, Samir K Brahmachari, Mitali Mukerji: Whole genome expression and biochemical correlates of extreme constitutional types defined in Ayurveda. Journal of Translational Medicine 10/2008; 6(1):48., DOI:10.1186/1479-5876-6-48
Brahmachari SK, [...], Sethi TP, Mandal AK, Mukhopadhyay A, Ashok Kumar: Genetic landscape of the people of India: a canvas for disease gene exploration.Indian Genome Variation Consortium. J Genet. 2008 Apr;87(1):3-20. Journal of Genetics 04/2008; 87(1).
Brahmachari SK, [...], T.P. Sethi, S.R. Deshmukh, S.G. Purohit, S. Sengupta, S. Khanna, F. Mohammad, G. Garg, S.K. Brahmachari, M. Mukerji: Whole genome expression and biochemical correlates of extreme constitutional types defined in Ayurveda. Journal of Translational Medicine. 2008 Sep 9;6:48. doi: 10.1186/1479-5876-6-48.