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Cited by 255

The DOI matches its Crossref record; 118 of the 118 references it cites were found in a registry or an index.

Emerging Nanotechnology Approaches for HIV/AIDS Treatment and Prevention

Open access
Mamo, Tewodros, Moseman, E Ashley, Kolishetti, Nagesh, Salvador-Morales, Carolina, Shi, Jinjun, Kuritzkes, Daniel R, Langer, Robert, Andrian, Ulrich von, Farokhzad, Omid C·2010·Nanomedicine

Abstract

Currently, there is no cure and no preventive vaccine for HIV/AIDS. Combination antiretroviral therapy has dramatically improved treatment, but it has to be taken for a lifetime, has major side effects and is ineffective in patients in whom the virus develops resistance. Nanotechnology is an emerging multidisciplinary field that is revolutionizing medicine in the 21st century. It has a vast potential to radically advance the treatment and prevention of HIV/AIDS. In this review, we discuss the challenges with the current treatment of the disease and shed light on the remarkable potential of nanotechnology to provide more effective treatment and prevention for HIV/AIDS by advancing antiretroviral therapy, gene therapy, immunotherapy, vaccinology and microbicides.

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Registry

Crossref · 10.2217/nnm.10.1

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Metadata

Authors
Mamo, T., Moseman, E. A., Kolishetti, N., Salvador-Morales, C., Shi, J., Kuritzkes, D. R., Langer, R., Andrian, U. V., & Farokhzad, O. C.
Venue
Nanomedicine
Published
2010-02
Volume
5
Issue
2
Pages
269-285
ISSN
  • 1743-5889 (ISSN-L)
  • 1748-6963
OpenAlex
W2094146325
Cited by
255
References
118
FWCI
6.73
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Emerging Nanotechnology Approaches for HIV/AIDS Treatment and Prevention. https://app.cochat.ai/papers/10.2217/nnm.10.1
The paper
Mamo, T., Moseman, E. A., Kolishetti, N., Salvador-Morales, C., Shi, J., Kuritzkes, D. R., Langer, R., Andrian, U. V., & Farokhzad, O. C. (2010). Emerging Nanotechnology Approaches for HIV/AIDS Treatment and Prevention. Nanomedicine. https://doi.org/10.2217/nnm.10.1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.