Bapu Koundinya Desiraju

About

In this new era of ‘data-medicine’, I am a physician with a passion to understand human physiology and disease with the help of data science tools. Currently, working on the ultrasonographic images taken during pregnancy to build interactive Artificial intelligence models to ensure quality of scan and reduce operator dependence as well as to predict poor pregnancy outcomes. My long-term vision is to build integrated models of health and disease using data ranging from cellular, physiological, medical records, environmental, geographical, and social networks and application of these models to help improve healthcare.

Employment

• Translational Health Science and Technology Institute Principal Scientist - I
  2024 - Present
• University of Oxford Visiting Fellow
  2021 - 2023
• Translational Health Science and Technology Institute Early career DBT/Wellcome Trust India Alliance CPH Fellow
  2019 - 2024

Education

• Andhra Medical College MBBS
• CSIR Institute of Genomics & Integrative Biology PhD

Projects & Funding

Projects & funding information is unavailable.

Publications (35)

• Cohort profile: the Cohort for Risk Prediction Model Evaluation (CORE) for external validation of models identifying high-risk pregnant women in the early second trimester
  2026 DOI: 10.64898/2026.07.02.26357113
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• Accurate Gestational Age Estimation with a Deep Learning Model Using Ultrasound Images to Enhance Detection of Fetal Growth Restriction and Small-For-Gestational-Age Fetuses in Late Pregnancy: A Prospective Cohort Study​
  2026 DOI: 10.2139/ssrn.7172559
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• Prediction of Spontaneous Preterm Birth in the Second Trimester: Current Models, Limitations, and the Way Forward
  Indian Journal of Pediatrics 2026 DOI: 10.1007/s12098-026-06030-1
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• The challenges in gestational weight gain monitoring in low and middle income settings
  European Journal of Clinical Nutrition 2023 DOI: 10.1038/s41430-023-01292-w
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• Developing Clinical Artificial Intelligence for Obstetric Ultrasound to Improve Access in Underserved Regions: Protocol for a Computer-Assisted Low-Cost Point-of-Care UltraSound (CALOPUS) Study
  JMIR Research Protocols 2022 DOI: 10.2196/37374
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• Longitudinal changes in serum immune markers during normal pregnancy in a North-Indian population.
  American journal of reproductive immunology (New York, N.Y. : 1989) 2022 DOI: 10.1111/aji.13531
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• Dynamic Alteration in the Vaginal Secretory Proteome across the Early and Mid-Trimesters of Pregnancy.
  Journal of proteome research 2021 DOI: 10.1021/acs.jproteome.0c00433
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• Cellular Immune Responses are Preserved and May Contribute to Chadox1 ChAdOx1 nCoV-19 Vaccine Effectiveness Against Infection Due to SARS-CoV-2 B·1·617·2 Delta Variant Despite Reduced Virus Neutralisation
  2021 DOI: 10.2139/ssrn.3884946
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• Longitudinal serology in SARS-CoV-2 infected individuals in India – a prospective cohort study
  2021 DOI: 10.1101/2021.02.04.21251140
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• Determinants of adolescent lung function in Indians: race, nutrition and systemic inflammation
  2021 DOI: 10.1101/2021.03.01.21252646
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