The role of neuromorphic principles in the future of biomedicine and healthcare

📅 2026-03-29
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This study addresses the challenges of applying neuromorphic engineering in biomedical and healthcare domains by convening, for the first time, a diverse coalition of stakeholders—including academia, industry, clinicians, and funding agencies—to systematically assess the current state and critical bottlenecks of the technology through interdisciplinary expert workshops. By integrating insights from neuroscience, biomedical engineering, and brain-inspired computing, the project delineates key development pathways and collaborative strategies, establishing a community-wide consensus. The outcomes—including workshop recordings, presentations, and strategic recommendations—have been publicly released to provide a clear roadmap and guiding framework for future research and development in the field.

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Application Category

📝 Abstract
Neuromorphic engineering has matured over the past four decades and is currently experiencing explosive growth with the potential to transform biomedical engineering and neurotechnologies. Participants at the Neuromorphic Principles in Biomedicine and Healthcare (NPBH) Workshop (October 2024) -- representing a broad cross-section of the community, including early-career and established scholars, engineers, scientists, clinicians, industry, and funders -- convened to discuss the state of the field, current and future challenges, and strategies for advancing neuromorphic research and development for biomedical applications. Publicly approved recordings with transcripts (https://2024.neuro-med.org/program/session-video-and-transcripts) and slides (https://2024.neuro-med.org/program/session-slides) can be found at the workshop website.
Problem

Research questions and friction points this paper is trying to address.

neuromorphic engineering
biomedicine
healthcare
neurotechnologies
challenges
Innovation

Methods, ideas, or system contributions that make the work stand out.

neuromorphic engineering
biomedical applications
event-driven processing
neurotechnologies
low-power computing
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Grace M. Hwang
National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), The Brain Research Through Advancing Innovative Neurotechnologies ® (BRAIN) Initiative, Bethesda, MD 20892, USA
J
Jessica D. Falcone
National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH, Bethesda, MD 20892, USA
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Joseph D. Monaco
National Institute of Neurological Disorders and Stroke (NINDS), National Institutes of Health (NIH), The Brain Research Through Advancing Innovative Neurotechnologies ® (BRAIN) Initiative, Bethesda, MD 20892, USA
C
Courtney R. Pinard
National Institute of Mental Health (NIMH), NIH, Bethesda, MD 20892, USA
J
Jessica A. Mollick
National Institute of Drug Abuse (NIDA), NIH, Bethesda, MD 20892, USA
R
Roger L. Miller
National Institute on Deafness and Other Communication Disorders (NIDCD), NIH, Bethesda, MD 20892, USA
S
Stephanie L. Gage
United States National Science Foundation (NSF), Directorate for Computer and Information Science and Engineering (CISE), Alexandria, VA, 22314, USA
A
Andrey V. Kanaev
United States National Science Foundation (NSF), Directorate for Computer and Information Science and Engineering (CISE), Alexandria, VA, 22314, USA
M
Margaret Kim
United States National Science Foundation (NSF), Directorate for Engineering (ENG), Alexandria, VA, 22314, USA
R
R. Ale Lukaszew
United States National Science Foundation (NSF), Directorate for Engineering (ENG), Alexandria, VA, 22314, USA
S
Steven M. Zehnder
United States National Science Foundation (NSF), Directorate for Engineering (ENG), Alexandria, VA, 22314, USA
D
David Rampulla
National Institute of Biomedical Imaging and Bioengineering (NIBIB), NIH, Bethesda, MD 20892, USA