Pei Zhuang

ORCID: 0000-0003-2370-8813
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Research Areas
  • 3D Printing in Biomedical Research
  • Influenza Virus Research Studies
  • interferon and immune responses
  • Bone Tissue Engineering Materials
  • Machine Learning in Bioinformatics
  • vaccines and immunoinformatics approaches
  • Additive Manufacturing and 3D Printing Technologies
  • Extracellular vesicles in disease
  • Respiratory viral infections research
  • Innovative Microfluidic and Catalytic Techniques Innovation
  • Electrospun Nanofibers in Biomedical Applications
  • Nanoplatforms for cancer theranostics
  • Vestibular and auditory disorders
  • Photoacoustic and Ultrasonic Imaging
  • Cancer Cells and Metastasis
  • Tissue Engineering and Regenerative Medicine
  • Advanced biosensing and bioanalysis techniques
  • Osteoarthritis Treatment and Mechanisms
  • Epigenetics and DNA Methylation
  • Ear Surgery and Otitis Media
  • Pluripotent Stem Cells Research
  • Immunotherapy and Immune Responses
  • Nanoparticle-Based Drug Delivery
  • Phytochemical and Pharmacological Studies
  • Muscle Physiology and Disorders

Brigham and Women's Hospital
2022-2024

Harvard University
2022-2024

University of Florida
2021-2022

Nanyang Technological University
2017-2021

Zhongshan Hospital of Xiamen University
2018

Xi'an Jiaotong University
2015

Xiamen University
2003

One of the major challenges in field soft tissue engineering using bioprinting is fabricating complex constructs with desired structure integrity and mechanical property. To accomplish such requirements, most reported works incorporated reinforcement materials as poly(ϵ-caprolactone) (PCL) polymer within 3D bioprinted constructs. Although this approach has made some progress constructing tissue-engineered scaffolds, compliance mismatch long degradation period are not ideal for engineering....

10.1371/journal.pone.0216776 article EN cc-by PLoS ONE 2019-06-12

Abstract The excellent rheological property has legitimated the suitability of starch hydrogel for extrusion‐based 3D printing. However, inability to promote cell attachment and migration precluded non‐modified from direct applications in biomedical field. Herein, a novel printable nanocomposite is developed with highly enhanced biocompatibility promoting growth, by formulating gelatin nanoparticles collagen. evaluation reveals shear‐thinning thixotropic properties starch‐based hydrogel, as...

10.1002/admt.202100551 article EN Advanced Materials Technologies 2021-08-08

Alzheimer's disease (AD) and AD-related dementias (ADRD) exhibit heterogeneous progression rates, with rapid (RP) posing significant challenges for timely intervention treatment. The increasingly available patient-centered electronic health records (EHRs) have made it possible to develop advanced machine learning models risk prediction of by leveraging comprehensive clinical, demographic, laboratory data. In this study, we propose AutoRADP, an interpretable autoencoder-based framework that...

10.1101/2025.04.06.25325337 preprint EN public-domain 2025-04-07

Glioblastoma (GBM) is the most common and deadliest malignant primary brain tumor, contributing significant morbidity mortality among patients. As current standard-of-care demonstrates limited success, development of new efficacious GBM therapeutics urgently needed. Major challenges in advancing chemotherapy include poor bioavailability, lack tumor selectivity leading to undesired side effects, permeability across blood-brain barrier (BBB), extensive intratumoral heterogeneity. We have...

10.3390/cancers14092207 article EN Cancers 2022-04-28

The rapid evolution of influenza viruses constantly leads to the emergence novel strains. Many computational models have been developed predict antigenic variants without considerations explicitly modeling interdependencies between channels feature maps. Moreover, sequences consisting similar distribution residues will high degrees similarity and affect prediction outcome. We proposed a 2D convolutional neural network model infer variants. Specifically, we apply new distributed...

10.1109/tcbb.2021.3108971 article EN IEEE/ACM Transactions on Computational Biology and Bioinformatics 2021-09-01

This paper attempts to evaluate the clinical usefulness of CYFRA 21-1 as a serum tumour marker in patients with head and neck squamous cell carcinoma (HNSCC). The concentration was measured utilizing new electrochemiluminescent immunoassay (ECLIA) 142 HNSCC before after treatment, 68 benign tumours neck, 50 healthy controls. Serum levels were significantly higher than those controls (p < 0.001). diagnostic sensitivity specificity for 62 per cent 100 cent, respectively. positive rates...

10.1258/002221503321192485 article EN The Journal of Laryngology & Otology 2003-03-01

Abstract Motivation Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics. The evolution of influenza remains to be the main obstacle in effectiveness antiviral treatments due rapid mutations. Previous work has been investigated reveal determinants virulence A virus. To further facilitate flu surveillance, explicit detection is crucial protect health from potential future Results In this article, we propose a weighted ensemble...

10.1093/bioinformatics/btaa901 article EN Bioinformatics 2020-10-06

Evaluation of hearing loss patients using clinical audiometry has been unable to give a definitive cellular or molecular diagnosis, hampering the development treatments sensorineural loss. However, biopsy inner ear tissue without losing residual function for pathologic diagnosis is extremely challenging. In setting, perilymph can be accessed, potentially allowing fluid based diagnostic tests. Recent approaches improving diagnostics have focusing on evaluation proteomic miRNA profiles...

10.1016/j.neulet.2021.136282 article EN cc-by Neuroscience Letters 2021-10-05

The rapid evolution of influenza viruses constantly leads to the emergence novel strains that are capable escaping from population immunity. timely determination antigenic variants is critical vaccine design. Empirical experimental methods like hemagglutination inhibition (HI) assays time-consuming and labor-intensive, requiring live viruses. Recently, many computational models have been developed predict without considerations explicitly modeling interdependencies between channels feature...

10.1101/2020.07.15.204883 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-07-15

The blood-brain barrier (BBB) is a highly specialized system that critical for regulating transport between the blood and central nervous system. In brain tumors, vasculature compromised, referred to as blood-tumor (BTB). ability precisely model unique physiological properties of BTB essential decipher its role in tumor pathophysiology rational design efficacious therapeutics. Here, we introduce robust high-throughput vitro 3D human organoid recapitulates various key features observed vivo...

10.1101/2024.11.11.622979 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-11-12

Abstract Influenza viruses pose significant threats to public health and cause enormous economic loss every year. Previous work has revealed the viral factors that influence virulence of influenza viruses. However, taking prior knowledge represented by heterogeneous categorical discrete information into account is scarce in existing work. How make full use preceding domain study challenging but beneficial. This paper proposes a general framework named ViPal for prediction incorporates...

10.1101/2022.03.24.485635 preprint EN cc-by-nc bioRxiv (Cold Spring Harbor Laboratory) 2022-03-27

Abstract Motivation Influenza viruses are persistently threatening public health, causing annual epidemics and sporadic pandemics. The evolution of influenza remains to be the main obstacle in effectiveness antiviral treatments due rapid mutations. Previous work has been investigated reveal determinants virulence A virus. To further facilitate flu surveillance, explicit detection is crucial protect health from potential future Results In this paper, we propose a weighted ensemble...

10.1101/2020.07.31.230904 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-07-31

项目摘要 人工关节假体的置换与长期植入后的失效问题将造成关节组织不可恢复的损失, 小块可降解 骨软骨关节支架具有恢复病变关节的力学环境和诱导新生组织生长的能力

10.1360/n112014-00226 article ZH-CN Scientia Sinica Informationis 2015-02-01

Abstract The integrity of the blood-brain barrier (BBB) is compromised in brain tumors, leading to formation tumor (BTB). While BTB generally more permeable than BBB, it nevertheless heterogeneously restrictive entry therapeutic agents tumors. Modeling accurately crucial for understanding its physiological properties and developing effective treatments. Our lab has previously introduced a 3D vitro human BBB organoid platform that reproduces key markers predicts compound permeability across...

10.1093/neuonc/noad179.1193 article EN Neuro-Oncology 2023-11-01

10.1016/j.otohns.2009.06.235 article EN Otolaryngology 2009-08-30
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