David Issadore
· ProfessorUniversity of Pennsylvania · Electrical Engineering
Active 2003–2026
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About
Professor David Issadore leads the Issadore Lab, which integrates microelectronics, microfluidics, nanomaterials, and machine learning to address significant challenges in healthcare. The lab focuses on creating miniaturized platforms for disease diagnosis and developing new methods for manufacturing micro and nanomaterials. Their interdisciplinary approach involves collaboration among engineers, scientists, and physicians to leverage engineering expertise for healthcare improvements. The lab is actively engaged in advancing technologies such as single extracellular vesicle platforms for melanoma diagnostics and scalable manufacturing of lipid nanomaterials on microfluidic chips. Professor Issadore's work also extends to combining artificial intelligence with mRNA drug development through initiatives like the NSF-funded AIRFoundry. His research contributions include innovations in graphene Hall sensor arrays, high-throughput droplet digital enzyme-linked immunosorbent assays, and very large scale microfluidics integration for precision particle and nanoparticle production. Beyond research, Professor Issadore serves the scientific community as an associate editor at Science Advances and fosters a collaborative and creative lab environment.
Research topics
- Computer Science
- Nanotechnology
- Materials science
- Biology
- Computational biology
- Physics
- Biomedical engineering
- Biological system
- Neuroscience
- Cell biology
Selected publications
Microfluidic formulation of nanoparticles for biomedical applications
Biomaterials · 2021 · 378 citations
Scalable mRNA and siRNA Lipid Nanoparticle Production Using a Parallelized Microfluidic Device
Nano Letters · 2021 · 288 citations
A major challenge to advance lipid nanoparticles (LNPs) for RNA therapeutics is the development of formulations that can be produced reliably across the various scales of drug development. Microfluidics can generate LNPs with precisely defined properties, but have been limited by challenges in scaling throughput. To address this challenge, we present a scalable, parallelized microfluidic device (PMD) that incorporates an array of 128 mixing channels that operate simultaneously. The PMD achieves…
Alzheimer s & Dementia · 2020 · 189 citations
INTRODUCTION: Extracellular vesicles (EVs) from human Alzheimer's disease (AD) biospecimens contain amyloid beta (Aβ) peptide and tau. While AD EVs are known to affect brain disease pathobiology, their biochemical and molecular characterizations remain ill defined. METHODS: EVs were isolated from the cortical gray matter of 20 AD and 18 control brains. Tau and Aβ levels were measured by immunoassay. Differentially expressed EV proteins were assessed by quantitative proteomics and machine learnin…
ACS Nano · 2022 · 52 citations
The eradication of biofilms remains an unresolved challenge across disciplines. Furthermore, in biomedicine, the sampling of spatially heterogeneous biofilms is crucial for accurate pathogen detection and precise treatment of infection. However, current approaches are incapable of removing highly adhesive biostructures from topographically complex surfaces. To meet these needs, we demonstrate magnetic field-directed assembly of nanoparticles into surface topography-adaptive robotic superstructur…
Extracellular Vesicles for Clinical Diagnostics: From Bulk Measurements to Single-Vesicle Analysis
ACS Nano · 2025-07-28 · 51 citations
reviewOpen accessExtracellular vesicles (EVs) play a crucial role in intercellular communication, signaling pathways, and disease pathogenesis by transporting biomolecules such as DNA, RNA, proteins, and lipids derived from their cells of origin, and they have demonstrated substantial potential in clinical applications. Their clinical significance underscores the need for sensitive methods to fully harness their diagnostic potential. In this comprehensive review, we explore EV heterogeneity related to biogenesis…
Recent grants
NIH · $414k · 2018–2020
NIH · $231k · 2017
Spatially-targeted heating of magnetic nanoparticles
NIH · $411k · 2018–2021
Frequent coauthors
- 93 shared
Ralph Weissleder
Center for Systems Biology
- 76 shared
Jina Ko
University of Pennsylvania
- 68 shared
Hakho Lee
Massachusetts General Hospital
- 51 shared
Huilin Shao
Institute of Molecular and Cell Biology
- 50 shared
Erica L. Carpenter
- 48 shared
Sagar Yadavali
Halo Labs (United States)
- 43 shared
Jaehoon Chung
LG (South Korea)
- 40 shared
Stephanie S. Yee
University of Pennsylvania
Labs
Education
- 1997
Ph.D., Materials Science and Engineering
University of Pennsylvania
- 1993
M.S., Materials Science and Engineering
University of Pennsylvania
- 1991
B.S., Materials Science and Engineering
University of Pennsylvania
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