Listening to the Bioelectronic Signature of Cells

Abstract

The objective of this research is to evaluate bioelectric effects at a cellular membrane and its corresponding vibrational signature, and study its evolution as a function of input vibrational stimuli to develop a new conjoined biology-circuitry paradigm with broad applications in Defense technologies. Our research will develop, apply and demonstrate a platform to read out these periodic response of bioelectric fields, process them using ML methods, and allow us to challenge the century-old paradigm to focus largely on chemistry to affect living processes, by exploiting instead the innate temporal gradients in field to detect cellular mechanisms/behavior, and to control the behavior of living organisms. The potential of this approach is vast, from basic biology to new interfaces between life and computers, novel AI methods, and enables a very exciting direction in neuromorphic computing, biomateriomic interfaces, which provide a seamless interface between computing hardware, software, and the algorithms of life. The deliverables include: 1. A method to process and analyze experimentally measured vibrational data (signal processing, spectral analysis); 2. Development of a ML classifier and relation to cellÕs living mechanisms under varied conditions (temperature, pH variations, voltage drivers); and 3. Development of a generative ML method to synthesize signals in distinct categories (see 2) to assess whether application of external signals can induce certain directed physiological effects.

Document Details

Document Type
DoD Grant Award
Publication Date
Jun 25, 2021
Source ID
W911NF2110178

Entities

People

  • Markus J. Buehler

Organizations

  • Army Contracting Command
  • Massachusetts Institute of Technology
  • United States Army

Tags

Readers

  • Nanoscale Plasmonic Nanotechnology
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • Biotechnology