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Affiliated institutions

  • Feinstein Institutes (opens in new tab)
  • Northwell Health (opens in new tab)
  • Zucker School of Medicine (opens in new tab)

© 2026 Division of Health AI, Northwell Health. All rights reserved.

Team

Shubham Debnath, PhD

Senior Research Scientist

Shubham Debnath is a Senior Research Scientist at the Feinstein Institutes for Medical Research with expertise in autonomic nervous system quantification and bioelectronic medicine. His research focuses on developing methods to modulate the autonomic nervous system function and quantify responses using non-invasive sensors, as well as clinical applications including maternal fever prediction, COVID-19 clinical decision support systems, and analysis of chronic vagus nerve recordings. Debnath has contributed to peer-reviewed publications on autonomic function assessment methodologies and their translational applications in clinical care.

5 projects·9 papers

Shubham Debnath
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Research

Projects

Federally funded · U01OH012050

Transcutaneous auricular vagus nerve stimulation for PTSD in World Trade Center responders

A feasibility and acceptability study of daily, non-invasive auricular vagus nerve stimulation to reduce PTSD symptoms among 9/11 responders, twenty years after the attacks.

Division project

Decoding the vagus nerve: preclinical recording and interpretation

Recording from the mouse vagus nerve, chronically and wirelessly, and decoding what its neurons report about inflammation and metabolism, toward bioelectronic devices that diagnose and treat from neural signals.

Division project

Maternal fever / neonatal sepsis prediction

Continuously monitored vital signs and heart rate variability during labor predict maternal fever 2-3 hours before clinical onset, with area under the curve of 0.748, enabling early detection of mothers at risk for neonatal early-onset sepsis.

Archive · 2

  • COVID-19 clinical decision support2020 to 2023
  • Autonomic function quantification and taVNS physiology2020 to 2021

Publications

Selected papers

Bioelectronic MedicineJul 2026

Autonomic and neural responses to varying transcutaneous cervical electrical stimulation parameters

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International Journal of Environmental Research and Public HealthMar 2026

Effects of Transcutaneous Auricular Vagus Nerve Stimulation on Posttraumatic Stress Disorder Symptoms in World Trade Center Responders: A Feasibility and Acceptability Study

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International Journal of Neural SystemsDec 2025

Longitudinal characterization of compound action potentials in chronic vagus nerve recordings in mice

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Digital HealthJan 2023

Prediction of intrapartum fever using continuously monitored vital signs and heart rate variability

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International Journal of Environmental Research and Public HealthApr 2022

Understanding Mental Health Needs and Gathering Feedback on Transcutaneous Auricular Vagus Nerve Stimulation as a Potential PTSD Treatment among 9/11 Responders Living with PTSD Symptoms 20 Years Later: A Qualitative Approach

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Bioelectronic MedicineAug 2021

A method to quantify autonomic nervous system function in healthy, able-bodied individuals

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International IEEE/EMBS Conference on Neural Engineering (NER)May 2021

Noninvasive, multimodal assessment of physiological responses to transcutaneous auricular vagus nerve stimulation

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Journal of Clinical Monitoring and ComputingJan 2021

Efficacy of continuous monitoring of maternal temperature during labor using wireless axillary sensors

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Bioelectronic MedicineJul 2020

Machine learning to assist clinical decision-making during the COVID-19 pandemic

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More of the division

Full roster
TE

Thea Enache

Visiting Scholar

Nabil Ettehadi, PhD

AI/ML Advisor

Diego Gonzalez Garcia-Torres

IT&S Project Coordinator