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Profil bibliographique

Wen Zhou

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

28Publications signalées
109Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

SARS-CoV-2 and COVID-19 ResearchCancer Genomics and Diagnosticsvaccines and immunoinformatics approachesMetaheuristic Optimization Algorithms ResearchAnimal Virus Infections Studies

Les publications récentes

Accès ouvert 2026 article OpenAlex

563. Safety and Immunogenicity of mRNA-1273.815 in COVID-19 Vaccine-Naïve Children 2 Through 4 Years of Age: Results From a Phase 3, Open-Label Trial

Avika Dixit, Roozbeh Sharif, Rosane Poston, Greer Chambers et autres

Abstract Background Due to infection and/or immunization, SARS-CoV-2 seroprevalence rates in children aged 2-4 years have increased and are now comparable to those aged ≥5 years; these children may benefit from a single dose vaccine regimen currently recommended for those aged ≥5 …

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0 citations Open Forum Infectious Diseases
Accès ouvert 2026 article OpenAlex

P-1510. The Next-Generation mRNA-1283 COVID-19 Vaccine Elicits Similar and Durable Cellular Immune Responses Compared With mRNA-1273

Spyros Chalkias, Bethany Girard, Yamuna Devi Paila, Wen Zhou et autres

Abstract Background mRNA-1283 is a next-generation COVID-19 vaccine encoding the N-terminal domain (NTD) and receptor binding domain (RBD) of the SARS-CoV-2 spike (S) protein, domains which contain immunodominant epitopes for neutralizing antibody and T-cell responses. mRNA-1283 T-cell responses were evaluated in a …

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0 citations Open Forum Infectious Diseases
Accès ouvert 2025 article OpenAlex

IHBOFS: A Biomimetics-Inspired Hybrid Breeding Optimization Algorithm for High-Dimensional Feature Selection

Chunli Xiang, Jing Zhou, Wen Zhou

With the explosive growth of data across various fields, effective data preprocessing has become increasingly critical. Evolutionary and swarm intelligence algorithms have shown considerable potential in feature selection. However, their performance often deteriorates in large-scale problems, due to premature convergence and limited …

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0 citations Biomimetics
Accès ouvert 2025 article OpenAlex

Study on the underwater light field and water quality parameters along the coast around the Guangdong-Hong Kong-Macao Greater Bay Area

Xianqing Zhang, Cai Li, Cong Liu, Wen Zhou et autres

The underwater light field and water quality parameters serve as important indicators for evaluating ecosystem structures and the capacity of the marine carbon cycle. Investigating the underwater light field and water quality is essential for the sustainable management of the marine ecological …

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2 citations Optics Express
2025 conference-abstract OpenAlex

Abstract 5894: Detection of a novel GNA11 processed pseudogene from cfDNA and implications for liquid biopsy

Jan Wignall, Wen Zhou

Abstract Processed pseudogenes are messenger RNAs that have been reverse transcribed and inserted into the genome. While the functional implications of these processed pseudogenes remain unknown, their presence can lead to variants being mistakenly detected and classified as copy number amplifications and …

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0 citations Cancer Research
2025 conference-abstract OpenAlex

Abstract 4563: Tumor fraction estimation and tissue copy number inference using copy number signal from a liquid biopsy assay

Patrick D. Cherry, David Tsao, Wen Zhou

Purpose: Estimating tumor fraction and inferring copy number alterations (CNAs) from cell-free DNA (cfDNA) liquid biopsy is challenging due to SNV heterogeneity and occasional lack of SNV signal. About 90% of solid tumors exhibit chromosome arm level gains or losses [1-2], and …

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0 citations Cancer Research
Accès ouvert 2025 article OpenAlex

Molecular counting enables accurate and precise quantification of methylated ctDNA for tumor-naive cancer therapy response monitoring

Patrick Peiyong Ye, Robb Viens, Katherine Elise Shelburne, Sydne Scot Langpap et autres

Personalized cancer treatment can significantly extend survival and improve quality of life for many patients, but accurate and real-time therapy response monitoring remains challenging. To overcome logistical and technical challenges associated with therapy response monitoring via imaging scans or assays that track …

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8 citations Scientific Reports
Accès ouvert 2025 preprint OpenAlex

BF-GAN: Development of an AI-driven Bubbly Flow Image Generation Model Using Generative Adversarial Networks

Wen Zhou, Shuichiro Miwa, Yang Liu, Koji Okamoto

A generative AI architecture called bubbly flow generative adversarial networks (BF-GAN) is developed, designed to generate realistic and high-quality bubbly flow images through physically conditioned inputs, jg and jf. Initially, 52 sets of bubbly flow experiments under varying conditions are conducted to …

0 citations arXiv (Cornell University)
Accès ouvert 2025 article OpenAlex

Safety and Immunogenicity of SARS-CoV-2 Spike Receptor-Binding Domain and N-Terminal Domain mRNA Vaccine

Spyros Chalkias, Antionette Pragalos, Adebayo Akinsola, Gary Berman et autres

BACKGROUND: mRNA-1283 is an investigational coronavirus disease 2019 (COVID-19) mRNA vaccine encoding the receptor-binding and N-terminal domains of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein in contrast to the original mRNA-1273 vaccine, which encodes the full-length spike protein. METHODS: …

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14 citations The Journal of Infectious Diseases
Accès ouvert 2024 article OpenAlex

Hybrid rice optimization algorithm inspired grey wolf optimizer for high-dimensional feature selection

Zhiwei Ye, Ruoxuan Huang, Wen Zhou, Ming‐Wei Wang et autres

Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, grey wolf optimizer (GWO) has received widespread attention. However, the GWO and …

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17 citations Scientific Reports
2024 conference-paper OpenAlex

Fault Detection Method for Dust Removal Equipment Based on Digital Twin and OCSVM Optimized by Clonal Selection

Ye Tian, Hui Chen, Yingfeng Wei, Kai Zhao et autres

Fault detection for dust removal equipment has always been a common anomaly detection scenario. Currently, dust removal equipment fault detection methods face issues such as data imbalance, low accuracy, and insufficient visualization. To address these issues, a fault detection method based on …

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0 citations

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