Ethan Foster

ORCID: 0000-0002-8228-1875
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • Cardiac electrophysiology and arrhythmias
  • Reinforcement Learning in Robotics
  • Robot Manipulation and Learning
  • Electrochemical Analysis and Applications
  • Neural dynamics and brain function
  • 3D Printing in Biomedical Research
  • Robotic Path Planning Algorithms
  • Microfluidic and Bio-sensing Technologies
  • Advanced Memory and Neural Computing
  • Soft Robotics and Applications
  • Semantic Web and Ontologies

Stanford University
2021-2025

Neurosciences Institute
2022

Abstract Drug-induced cardiotoxicity arises primarily when a compound alters the electrophysiological properties of cardiomyocytes. Features intracellular action potentials (iAPs) are powerful biomarkers that predict proarrhythmic risks. In last decade, number vertical nanoelectrodes have been demonstrated to achieve parallel and minimally-invasive iAP recordings. However, large variability in success rate signal strength hindered from being broadly adopted for proarrhythmia drug assessment....

10.1038/s41467-022-29726-2 article EN cc-by Nature Communications 2022-04-26

Large policies pretrained on a combination of Internet-scale vision-language data and diverse robot demonstrations have the potential to change how we teach robots new skills: rather than training behaviors from scratch, can fine-tune such vision-language-action (VLA) models obtain robust, generalizable for visuomotor control. Yet, widespread adoption VLAs robotics has been challenging as 1) existing are largely closed inaccessible public, 2) prior work fails explore methods efficiently...

10.48550/arxiv.2406.09246 preprint EN arXiv (Cornell University) 2024-06-13

Abstract Intracellular electrophysiology is essential in neuroscience, cardiology, and pharmacology for studying cells’ electrical properties. Traditional methods like patch-clamp are precise but low-throughput invasive. Nanoelectrode Arrays (NEAs) offer a promising alternative by enabling simultaneous intracellular extracellular action potential (iAP eAP) recordings with high throughput. However, accessing potentials NEAs remains challenging. This study presents an AI-supported technique...

10.1038/s41467-024-55571-6 article EN cc-by Nature Communications 2025-01-14

10.1109/icra57147.2024.10611477 article 2024-05-13

<title>Abstract</title> Intracellular electrophysiology is utilized across different scientific and medical disciplines, including neuroscience, cardiology, pharmacology, due to its pivotal role in exploring comprehending the electrical properties of cells within diverse biological systems. Traditional methods for intracellular electrophysiology, such as patch-clamp, are highly precise but suffer from being low-throughput invasive. In contrast, Nanoelectrode Arrays (NEAs) present a promising...

10.21203/rs.3.rs-4266976/v1 preprint EN cc-by Research Square (Research Square) 2024-04-30

Abstract Drug-induced cardiotoxicity arises primarily when a compound alters the electrophysiological properties of cardiomyocytes. Features intracellular action potentials (iAPs) are powerful biomarkers that predict proarrhythmic risks. However, conventional patch clamp techniques for measuring iAPs either laborious and low throughput or not suitable electrically connected In last decade, number vertical nanoelectrodes have been demonstrated to achieve parallel minimally-invasive iAP...

10.1101/2021.09.28.462181 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2021-09-30
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