
Rebekah Drezek
· Professor of BioengineeringRice University · Bioengineering
Active 1997–2024
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About
Rebekah Drezek is a Professor of Bioengineering and Associate Chair of Bioengineering at Rice University. Her research develops optical molecular imaging technologies for the in vivo assessment of tissue pathology and the quantitative analysis of nanoparticle uptake and interaction within cellular environments. Her work emphasizes the design, prototyping, and clinical testing of optical tools and nanomaterials that detect, diagnose, and treat cancer. She has translated nanoscale tools such as gold nanoparticles and quantum dot probes for targeted molecular imaging and tumor margin assessment, and developed photothermal nanoparticles aimed at targeting and eliminating cancer. Drezek collaborates on NIH-funded projects investigating gold nanoparticle-based delivery of cancer vaccines and adjuvants, and has served as principal investigator on projects developing high-resolution optical imaging approaches and nanoengineered imaging agents for breast cancer applications. Her research is interdisciplinary, involving collaborations with clinicians, molecular biologists, and biochemists within Rice and the Texas Medical Center, with a focus on leveraging emerging photonics technologies for minimally invasive, real-time disease detection and diagnosis. Drezek has published extensively, holds four patents, and has received numerous awards including the MIT Top Young Innovators Award, the AAMI Career Achievement Award, the Beckman Young Investigator Award, and the Adolph Lomb Medal…
Research topics
- Computer Science
- Mathematics
- Biology
- Computational biology
- Statistics
- Materials science
- Cancer research
- Genetics
- Algorithm
- Bioinformatics
Selected publications
Metallic nanoparticles for cancer immunotherapy
Materials Today · 2017-12-14 · 235 citations
articleOpen accessSenior authorCorrespondingCancer immunotherapy, or the utilization of the body's immune system to attack tumor cells, has gained prominence over the past few decades as a viable cancer treatment strategy. Recently approved immunotherapeutics have conferred remission upon patients with previously bleak outcomes and have expanded the number of tools available to treat cancer. Nanoparticles -including polymeric, liposomal, and metallic formulations - naturally traffic to the spleen and lymph organs and the relevant immune c…
Journal of Nanobiotechnology · 2017-05-02 · 24 citations
articleOpen accessSenior authorBACKGROUND: Gold-polyamidoamine (AuPAMAM) has previously been shown to successfully transfect cells with high efficiency. However, we have observed that certain cell types are more amenable to Au-PAMAM transfection than others. Here we utilized two representative cell lines-a "difficult to transfect" CT26 cell line and an "easy to transfect" SK-BR3 cell line-and attempted to determine the underlying mechanism for differential transfection in both cell types. Using a commonly established poly-cat…
Universal microbial diagnostics using random DNA probes
Science Advances · 2016-09-02 · 18 citations
articleOpen accessEarly identification of pathogens is essential for limiting development of therapy-resistant pathogens and mitigating infectious disease outbreaks. Most bacterial detection schemes use target-specific probes to differentiate pathogen species, creating time and cost inefficiencies in identifying newly discovered organisms. We present a novel universal microbial diagnostics (UMD) platform to screen for microbial organisms in an infectious sample, using a small number of random DNA probes that are…
Nanoscale Research Letters · 2016-06-18 · 10 citations
articleOpen accessSenior authorWhen plasmonic nanoparticles (NPs) are internalized by cells and agglomerate within intracellular vesicles, their optical spectra can shift and broaden as a result of plasmonic coupling of NPs in close proximity to one another. For such optical changes to be accounted for in the design of plasmonic NPs for light-based biomedical applications, quantitative design relationships between designable factors and spectral shifts need to be established. Here we begin building such a framework by investi…
Extreme Compressed Sensing of Poisson Rates From Multiple Measurements
IEEE Transactions on Signal Processing · 2022 · 5 citations
Compressed sensing (CS) is a signal processing technique that enables the efficient recovery of a sparse high-dimensional signal from low-dimensional measurements. In the multiple measurement vector (MMV) framework, a set of signals with the same support must be recovered from their corresponding measurements. Here, we present the first exploration of the MMV problem where signals are independently drawn from a sparse, multivariate Poisson distribution. We are primarily motivated by a suite of b…
Recent grants
NIH · $1.6M · 2015
Nonspecific DNA Sensors for Scalable Pathogen Diagnostics
NSF · $260k · 2020–2023
NIH · $3.0M · 2012
Frequent coauthors
- 27 shared
Jennifer L. West
Duke University
- 27 shared
Emmanuel Chang
Tennessee Retina
- 25 shared
Rebecca Richards‐Kortum
Rice University
- 23 shared
Naomi J. Halas
Rice University
- 21 shared
Aaron E. Foster
Medpace (United States)
- 21 shared
Ming‐Qiang Zhu
Wuhan National Laboratory for Optoelectronics
- 19 shared
Anant Agrawal
United States Food and Drug Administration
- 17 shared
Lissett R. Bickford
Children's Cancer Therapy Development Institute
Labs
Awards & honors
- MIT TR100 Technology Reviews’ selection of 100 Top Young Inn…
- Association for the Advancement of Medical Instrumentation (…
- Beckman Young Investigator Award (2005)
- U.S. Department of Defense Era of Hope Scholar (2007)
- American Society for Photobiology Research Award (2008)
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