Zobrazeno 1 - 10
of 290
pro vyhledávání: '"Shinn‑Ying Ho"'
Publikováno v:
AMB Express, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract T and B cell activation are equally important in triggering and orchestrating adaptive host responses to design multi-epitope African swine fever virus (ASFV) vaccines. However, few design methods have considered the trade-off between T and
Externí odkaz:
https://doaj.org/article/6769b9acb34243d7909fef6757011ca8
Autor:
I-Cheng Lee, Yung-Ping Tsai, Yen-Cheng Lin, Ting-Chun Chen, Chia-Heng Yen, Nai-Chi Chiu, Hsuen-En Hwang, Chien-An Liu, Jia-Guan Huang, Rheun-Chuan Lee, Yee Chao, Shinn-Ying Ho, Yi-Hsiang Huang
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Automatic segmentation of hepatocellular carcinoma (HCC) on computed tomography (CT) scans is in urgent need to assist diagnosis and radiomics analysis. The aim of this study is to develop a deep learning based network to detect H
Externí odkaz:
https://doaj.org/article/a92c0700a21943ae84df10a7de856154
Autor:
Hao Wei Chung, Ju-Chieh Chen, Hsiu-Lin Chen, Fang-Yu Ko, Shinn-Ying Ho, on behalf of the Taiwan Premature Infant Follow-up Network
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Follow-up visits for very preterm infants (VPI) after hospital discharge is crucial for their neurodevelopmental trajectories, but ensuring their attendance before 12 months corrected age (CA) remains a challenge. Current predicti
Externí odkaz:
https://doaj.org/article/0e7f6935174245e2af5e4502c0bb061b
Autor:
Tzu-Ting Huang, Yi-Chen Lin, Chia-Heng Yen, Jui Lan, Chiun-Chieh Yu, Wei-Che Lin, Yueh-Shng Chen, Cheng-Kang Wang, Eng-Yen Huang, Shinn-Ying Ho
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Extranodal extension (ENE) in head and neck squamous cell carcinoma (HNSCC) correlates to poor prognoses and influences treatment strategies. Deep learning may yield promising performance of predicting ENE in HNSCC but lack of tra
Externí odkaz:
https://doaj.org/article/5a4a3706c02f472a978d61fda6bdb261
Publikováno v:
HGG Advances, Vol 4, Iss 3, Pp 100190- (2023)
Summary: The ability to detect cancer at an early stage in patients who would benefit from effective therapy is a key factor in increasing survivability. This work proposes an evolutionary supervised learning method called CancerSig to identify cance
Externí odkaz:
https://doaj.org/article/219e64a255fa491d807bdb8a71f2d743
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e17218- (2023)
Head and neck carcinoma (HNSC) is often diagnosed at advanced stage, incurring poor patient outcome. Despite of advances in chemoradiation and surgery approaches, limited improvements in survival rates of HNSC have been observed over the last decade.
Externí odkaz:
https://doaj.org/article/4db6b3cb9ff241a9a213d825a20bd313
Autor:
Srinivasulu Yerukala Sathipati, Ming-Ju Tsai, Sanjay K. Shukla, Shinn-Ying Ho, Yi Liu, Afshin Behesthi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Bladder urothelial carcinoma (BLC) is one of the most common cancers in men, and its heterogeneity challenges the treatment to cure this disease. Recently, microRNAs (miRNAs) gained promising attention as biomarkers due to their potential ro
Externí odkaz:
https://doaj.org/article/731a5216fde84933882de811b80efc31
Autor:
Srinivasulu Yerukala Sathipati, Ming-Ju Tsai, Tonia Carter, Patrick Allaire, Sanjay K. Shukla, Afshin Beheshti, Shinn-Ying Ho
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 4490-4500 (2022)
Identifying a miRNA signature associated with survival will open a new window for developing miRNA-targeted treatment strategies in stomach and esophageal cancers (STEC). Here, using data from The Cancer Genome Atlas on 516 patients with STEC, we dev
Externí odkaz:
https://doaj.org/article/d619dd079c6b41da8b0db7dd4a7210a2
Autor:
I-Cheng Lee, Jo-Yu Huang, Ting-Chun Chen, Chia-Heng Yen, Nai-Chi Chiu, Hsuen-En Hwang, Jia-Guan Huang, Chien-An Liu, Gar-Yang Chau, Rheun-Chuan Lee, Yi-Ping Hung, Yee Chao, Shinn-Ying Ho, Yi-Hsiang Huang
Publikováno v:
Liver Cancer, Pp 1-11 (2021)
Background and Aims: Current prediction models for early recurrence of hepatocellular carcinoma (HCC) after surgical resection remain unsatisfactory. The aim of this study was to develop evolutionary learning-derived prediction models with interpreta
Externí odkaz:
https://doaj.org/article/0150fb40bc8c4f028ff59c41089db392
Publikováno v:
STAR Protocols, Vol 3, Iss 3, Pp 101460- (2022)
Summary: We describe a protocol to identify physicochemical properties using amino acid sequences of spike (S) proteins of SARS-CoV-2. We present an S protein prediction technique named SPIKES, incorporating an inheritable bi-objective combinatorial
Externí odkaz:
https://doaj.org/article/2675333e90f94f61a7f9e2b0637b47e5