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Ali Khademhosseini, Ph.D.

Affiliations: 
Harvard Medical School, Boston, MA, United States 
Area:
bioengineering - biomedical engineering - biomaterials - tissue engineering - microfluidics
Website:
http://www.tissueeng.net/lab/
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"Ali Khademhosseini"
Bio:

http://hdl.handle.net/1721.1/33867
Ali Khademhosseini is an Associate Professor at Harvard-MIT's Division of Health Sciences and Technology (HST), Brigham and Women’s Hospital (BWH) and Harvard Medical School (HMS) as well as an Associate Faculty at the Wyss Institute for Biologically Inspired engineering. He is also a Junior Principal Investigator at Japan’s World Premier International – Advanced Institute for Materials Research (WPI-AIMR) at Tohoku University where he directs a satellite laboratory. In addition he is an adjunct faculty at the Biomedical Engineering Department at the University of Texas at Austin and an eminent scholar at Kyung Hee University in Korea.

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Cross-listing: Chemistry Tree

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Parents

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Robert S. Langer grad student 2005 MIT (Chemistry Tree)
 (Nanoscale and microscale approaches for engineering the in vitro cellular microenvironment)

Children

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Amir Nasajpour research assistant 2014-2018 Brigham & Women's Hospital, Harvard Medical School (Chemistry Tree)
Mohsen Akbari post-doc Harvard Medical School (E-Tree)
Hojae Bae post-doc Harvard Medical School (Chemistry Tree)
Yanan Du post-doc Harvard Medical School (Cell Biology Tree)
Shabir Hassan post-doc Harvard Medical School (Chemistry Tree)
Shilpa Sant post-doc University of Pittsburgh (Chemistry Tree)
Shiming Zhang post-doc UCLA (Chemistry Tree)
Guillermo U Ruiz-Esparza post-doc 2016- Brigham and Women's Hospital, Harvard Medical School (Chemistry Tree)
Pinar Zorlutuna post-doc 2012 Harvard Medical School (Chemistry Tree)
Gulden Camci-Unal post-doc 2009-2012 Harvard (Chemistry Tree)
Anwarul Hasan post-doc 2013 Harvard Medical School (Chemistry Tree)
Mehdi Nikkhah post-doc 2013 Harvard Medical School (Chemistry Tree)
Akhilesh K. Gaharwar post-doc 2011-2013 Harvard Medical School
Nasim Annabi post-doc 2014 Harvard Medical School (Chemistry Tree)
Chaenyung Cha post-doc 2012-2014 Brigham & Women's Hospital, Harvard Medical School (BME Tree)
Hae Lin Jang post-doc 2017 Harvard Medical School (Chemistry Tree)
Su Ryon Shin post-doc 2017 Harvard Medical School - Brigham and Women's Hospital (Chemistry Tree)
Ali Tamayol post-doc 2017 Harvard Medical School (E-Tree)
Yu Shrike Zhang post-doc 2013-2017 Harvard Medical School - Brigham and Women's Hospital (Chemistry Tree)

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Publications

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John JV, Sharma NS, Tang G, et al. (2022) Nanofiber Aerogels with Precision Macrochannels and LL-37-Mimic Peptides Synergistically Promote Diabetic Wound Healing. Advanced Functional Materials. 33
Zhu Y, Nasiri R, Davoodi E, et al. (2022) A Microfluidic Contact Lens to Address Contact Lens-Induced Dry Eye. Small (Weinheim An Der Bergstrasse, Germany). e2207017
Zehtabi F, Montazerian H, Haghniaz R, et al. (2022) Sodium Phytate-Incorporated Gelatin-Silicate Nanoplatelet Composites for Enhanced Cohesion and Hemostatic Function of Shear-Thinning Biomaterials. Macromolecular Bioscience. e2200333
Montazerian H, Davoodi E, Baidya A, et al. (2022) Bio-macromolecular design roadmap towards tough bioadhesives. Chemical Society Reviews. 51: 9127-9173
Mecwan M, Li J, Falcone N, et al. (2022) Recent advances in biopolymer-based hemostatic materials. Regenerative Biomaterials. 9: rbac063
Calder D, Fathi A, Oveissi F, et al. (2022) Thermoresponsive and Injectable Hydrogel for Tissue Agnostic Regeneration. Advanced Healthcare Materials. e2201714
Bolívar-Monsalve EJ, Ceballos-González CF, Chavez-Madero C, et al. (2022) One-step bioprinting of multi-channel hydrogel filaments using chaotic advection: Fabrication of pre-vascularized muscle-like tissues. Advanced Healthcare Materials. e2200448
Wu Q, Qu M, Kim HJ, et al. (2022) A Shear-Thinning Biomaterial-Mediated Immune Checkpoint Blockade. Acs Applied Materials & Interfaces
Akbari M, Khademhosseini A. (2022) Tissue bioprinting for biology and medicine. Cell. 185: 2644-2648
Li H, Bhatt M, Qu Z, et al. (2022) Deep learning in ultrasound elastography imaging: A review. Medical Physics
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