MEDAIM@TAVLAB
The Home of Meaningful, Enriching & Discovery-led AI for Medicine

April 30 - May 2: Tavpritesh Sethi will deliver a workshop on "End-to-end Decision-learning in Clinical and Public Health Datasets with Bayesian Artificial Intelligence" at AMIA-Clinical Informatics Conference, Atlanta, Georgia. April 30 - May 2: Aditya Nagori will present his work on "Predicting Hemodynamic Shock Using Machine Learning upon Thermal Images" at AMIA-Clinical Informatics Conference, Atlanta, Georgia.






Vision and Mission



To develop Meaningful, Enriching, and Discovery-led AI to improve patient lives, facilitate delivery, and advance the science of Medicine.




About



TavLab is a computational medicine lab focused on advancing healthcare through computation. The focus of the lab is to learn actionable predictions and decisions for (1) Critical Care, (2) Public health, (3) Social Medicine through Artificial Intelligence, Machine Learning and Data-science. Research at TavLab emphasizes both on science and innovation for creating an impact on healthcare. Recent and ongoing work at the lab has addressed global challenges such as Sepsis, Antimicrobial Resistance, Maternal and Child health, Healthcare access and Inequities.



Highlights



Artificial Intelligence for Critical Care

Predicting Hemodynamic Shocks from Thermal Images using Machine Learning (Scientific Reports)


Artificial Intelligence for Public Health

Stewarding Antimicrobial Stewardship with Bayesian Artificial Intelligence (Wellcome Open Research)


Artificial Intelligence for Actionable Social Medicine

Learning to address Health Inequalities in the United States with a Bayesian Decision Network (AAAI 2019)





Team


Faculty Researcher

Dr. Tavpritesh Sethi

Principal Investigator

Tavpritesh Sethi is a physician-scientist and Assistant Professor of Computational Biology at Indraprastha Institute of Information Technology Delhi, India and a fellow of the Wellcome Trust/DBT India Alliance at All India Institute of Medical Sciences, New Delhi, India. Over the past two years, he has been a visiting faculty member at Stanford University, School of Medicine from February 2017 to January 2019. He received his M.B.B.S from Government Medical College, Amritsar and PhD from CSIR-Institute of Genomics and Integrative Biology, New Delhi, India.

Tavpritesh specializes in improving outcomes in neonatal, child and maternal health by bridging medicine and artificial intelligence. His research is focused on development and deployment of machine-learning based solutions to enable decisions and policy in pressing healthcare questions such as antimicrobial resistance, sepsis and health inequalities in intensive care and public health settings. He has authored over 20 research articles and has been a recipient of MIT-TR35 India Innovators under 35, Wellcome Trust/DBT India Alliance Early Career Award. He is an editorial board member of PLOS One, Systems Medicine and Journal of Genetics. Tavpritesh is a member of the European Association of Systems Medicine and leads the Australasia region for International Association of Systems and Networks Medicine (IASyM).

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Student Researchers

Aditya Nagori

PhD Student, CSIR-IGIB

Artificial Intelligence for Critical Care

Pradeep Singh

SRF, AIIMS Delhi

Artificial Intelligence for Critical Care

Raghav Awasthi

PhD Student, IIIT Delhi

Artificial Intelligence for Public Health

Anant Mittal

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Actionable Social Medicine

Anubhav Jaiswal

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Critical Care

Anushtha Kalia

Undergrad Researcher, University of Delhi

AI for Actionable Social Medicine

Arshdeep Singh

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Critical Care

Baani Leen Kaur

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Actionable Social Medicine

Harsh Bandhey

B.Tech CSAM, IIIT Delhi

Artificial Intelligence for Public Health

Kanav Bhagat

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Critical Care

Lovedeep Singh Dhingra

MBBS Intern, AIIMS Delhi

Artificial Intelligence for Critical Care

Palash Aggrawal

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Actionable Social Medicine

Prakriti Ailavadi

B.E. in Instrumentation and Control Engineering, NSUT

Artificial Intelligence for Critical Care

Raghav Bhatia

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Actionable Social Medicine

Rahul Paul

Undergrad Researcher, NSUT

Artificial Intelligence for Public Health

Saksham Vohra

B.Tech Computer Science & Engineering, IIITD

Artificial Intelligence for Actionable Social Medicine

Shubham Maheshwari

B.Tech Computer Science & Engineering, IIIT Delhi

Artificial Intelligence for Actionable Social Medicine

Shubham Singh

B.Tech. Instrumentation and Control Engineering, NSUT

Artificial Intelligence for Critical Care

Vashika Vats

M.Tech in CSP, IIIT-D

Artificial Intelligence for Critical Care




Publications



2019


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.



2018


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.

2017


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

2016


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

2015


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

2013


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

2012


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

2011


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

2010


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.

2008


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.



Collaborators


aiims
stanford
CSIR-IGIB


Funders


India Alliance


Achievements



April 30 - May 2: Tavpritesh Sethi will deliver a workshop on "End-to-end Decision-learning in Clinical and Public Health Datasets with Bayesian Artificial Intelligence" at AMIA-Clinical Informatics Conference, Atlanta, Georgia.
April 30 - May 2: Aditya Nagori will present his work on "Predicting Hemodynamic Shock Using Machine Learning upon Thermal Images" at AMIA-Clinical Informatics Conference, Atlanta, Georgia.


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