Shubham Debnath
The Feinstein Institute for Medical Research
14 Papers
34 Citations
Shubham Debnath is an academic researcher from The Feinstein Institute for Medical Research. The author has contributed to research in topics: Medicine & Marmoset. The author has an hindex of 4, co-authored 12 publications. Previous affiliations of Shubham Debnath include University of Miami & University of Pittsburgh.
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Papers
Machine learning to assist clinical decision-making during the COVID-19 pandemic
Shubham Debnath,Douglas P. Barnaby,Douglas P. Barnaby,Kevin Coppa,Alex Makhnevich,Eun Ji Kim,Eun Ji Kim,Saurav Chatterjee,Viktor Tóth,Todd J. Levy,Marc d. Paradis,Stuart L. Cohen,Stuart L. Cohen,Jamie S. Hirsch,Theodoros P. Zanos +14 more
- 10 Jul 2020
TL;DR: This perspective highlights the utility of evidence-based prediction tools in a number of clinical settings, and how similar models can be deployed during the COVID-19 pandemic to guide hospital frontlines and healthcare administrators to make informed decisions about patient care and managing hospital volume.
Microelectrode Array Recordings from the Ventral Roots in Chronically Implanted Cats
TL;DR: Ventral root recordings demonstrate that it is feasible to record single unit activity from multiple isolated motor units with penetrating microelectrode arrays implanted chronically in the ventral spinal roots.
Long-term stability of neural signals from microwire arrays implanted in common marmoset motor cortex and striatum
Shubham Debnath,Noeline W Prins,Eric A. Pohlmeyer,Ramanamurthy Mylavarapu,Shijia Geng,Justin C. Sanchez,Abhishek Prasad +6 more
TL;DR: The feasibility of longterm recordings from MEAs implanted in cortical and deep brain structures in the marmoset model is demonstrated and the ability to chronically record cortical signals for neural prosthetics applications in the common marmosets extends the potential of this model in neural interface research.
A method to quantify autonomic nervous system function in healthy, able-bodied individuals.
Shubham Debnath,Todd J. Levy,Mayer Bellehsen,Rebecca M. Schwartz,Douglas P. Barnaby,Stavros Zanos,Bruce T. Volpe,Bruce T. Volpe,Theodoros P. Zanos +8 more
- 27 Aug 2021
TL;DR: In this paper, a template matching algorithm calculated scaling and stretching features that optimally fit the average to an individual response and grouped these features based on test and modality to derive sympathetic and parasympathetic indices for this healthy population.
Spinal cord neural interfacing in common marmosets (Callithrix jacchus).
TL;DR: The study shows the feasibility of recording spinal cord signals and using marmosets as a smaller NHP model in behavioral neuroscience studies, and discusses the methods and challenges involved in behavioral multi-channel extracellular recording from the marmoset spinal cord.