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Profil bibliographique

Huai-Ching Hsieh

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

19Publications signalées
59Citations signalées
5Affiliations récentes

Les institutions déclarées

Les domaines associés

AI in cancer detectionProstate Cancer Diagnosis and TreatmentLaser Applications in Dentistry and MedicineMolecular Biology Techniques and ApplicationsPhotoreceptor and optogenetics research

Les publications récentes

Accès ouvert 2026 article OpenAlex

Assessing the Effects of a 3-Dimensional (3D) Pathology Tissue-Processing Workflow on Downstream Molecular Analyses

Elena Baraznenok, Huai-Ching Hsieh, Lydia Lan, Eric Q. Konnick et autres

PURPOSE: Nondestructive 3-dimensional (3D) pathology methods have emerged in recent years with the potential to enhance standard 2-dimensional histopathology by greatly increasing the amount of tissue sampled by imaging and by providing volumetric morphological context. Another key advantage is that tissues remain …

us, gb (code pays fourni par la source)

1 citation Laboratory Investigation
2026 conference-abstract OpenAlex

Abstract 5469: Data-efficient morphological deep learning for fine-grained Gleason grading based on AI-triaged 3D pathology.

Renao Yan, Gan Gao, Andrew H. Song, Huai-Ching Hsieh et autres

Abstract Prostate cancer risk assessment relies on 2D histology, which samples only a small portion of tissue and lacks 3D architectural context, often leading to ambiguities. Slide-free 3D pathology using open-top light-sheet microscopy provides volumetric views of intact biopsies, offering richer morphological …

us (code pays fourni par la source)

0 citations Cancer Research
Accès ouvert 2026 preprint OpenAlex

Extracting and analyzing 3D histomorphometric features related to perineural and lymphovascular invasion in prostate cancer

Sarah S. L. Chow, rui wang, Robert Serafin, Yujie Zhao et autres

Diagnostic grading of prostate cancer (PCa) relies on the examination of 2D histology sections. However, the limited sampling of specimens afforded by 2D histopathology, and ambiguities when viewing 2D cross-sections, can lead to suboptimal treatment decisions. Recent studies have shown that 3D …

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Extracting and analyzing 3D histomorphometric features related to perineural and lymphovascular invasion in prostate cancer

Sarah S. L. Chow, rui wang, Robert Serafin, Yujie Zhao et autres

Diagnostic grading of prostate cancer (PCa) relies on the examination of 2D histology sections. However, the limited sampling of specimens afforded by 2D histopathology, and ambiguities when viewing 2D cross-sections, can lead to suboptimal treatment decisions. Recent studies have shown that 3D …

us (code pays fourni par la source)

0 citations arXiv (Cornell University)
Accès ouvert 2026 preprint OpenAlex

Assessing the effects of a 3D pathology tissue-processing workflow on downstream molecular analyses

Elena Baraznenok, Huai-Ching Hsieh, Lydia Lan, Eric Q. Konnick et autres

Non-destructive 3D pathology methods have emerged in recent years with the potential to enhance standard 2D histopathology by greatly increasing the amount of tissue sampled by imaging and by providing volumetric morphological context. Another key advantage is that tissues remain intact, allowing …

us, gb (code pays fourni par la source)

1 citation bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2026 article OpenAlex

Enhancing human-induced pluripotent stem cell proliferation and cardiac differentiation through 810-nm photobiomodulation

Wei-Zhen Kao, Huai-Ching Hsieh, Yi-Ju Lee, Jin-Yu Su et autres

Photobiomodulation (PBM) has been shown to enhance cell growth and differentiation. This study investigates the effects of 810-nm PBM on the proliferation and cardiac differentiation of human-induced pluripotent stem cells (hiPSCs), utilizing a custom-made LED device. This device is compatible with standard …

tw (code pays fourni par la source)

0 citations Lasers in Medical Science
Accès ouvert 2025 preprint OpenAlex

Deep-learning triage of 3D pathology datasets for comprehensive and efficient pathologist assessments

Gan Gao, Renao Yan, Andrew H. Song, Huai-Ching Hsieh et autres

Standard-of-care slide-based 2D histopathology severely undersamples spatially heterogeneous tissue specimens, with each thin 2D section representing <1% of the entire tissue volume (in the case of a biopsy). Recent advances in non-destructive 3D pathology, such as open-top light-sheet microscopy (OTLS), enable comprehensive …

us, ca, Afrique du Sud (code pays fourni par la source)

4 citations bioRxiv (Cold Spring Harbor Laboratory)
Accès ouvert 2025 article OpenAlex

Temporal analysis of doxorubicin-induced cardiac toxicity and hypertrophy

Yu-Te Lin, Yi‐Ju Lee, Wen-Wei Tseng, Zih-Hua Chen et autres

Doxorubicin (DOX), although effective in treating cancer, has significant cardiac side effects, which limit its clinical utility. In this study, we collected time-course transcriptomics and metabolomics data from the human cardiomyocyte cell line AC16, which we analyzed along with curated public transcriptomics …

tw (code pays fourni par la source)

10 citations npj Systems Biology and Applications

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