Education
| School — Major — Degree | Duration |
|---|---|
|
國立高雄科技大學 — 電子工程系(畢) — 博士 Doctorate, Department of electronic enginneering, National Kaohsiung University of Science and Technology |
2014/09 — 2019/06 |
|
高雄醫學大學 — 口腔衛生學系(畢) — 碩士 Master, Department of oral hygiene, Kaohsiung Medical University |
2012/09 — 2014/06 |
|
高雄醫學大學 — 口腔衛生學系(畢) — 學士 Bachelor, Department of oral hygiene, Kaohsiung Medical University |
2008/09 — 2012/06 |
Intramural Experience
| Office/Department/Institute | Position | Duration |
|---|---|---|
| 醫學統計分析及生物資訊研究室 | Senior Officer | — |
| 臨床醫學研究所 Graduate Institute of Clinical Medicine | Assistant Professor | 2023/02/01 — |
Extramural Experience
Discipline
| NO | Discipline | Expertise |
|---|---|---|
| 1 | 工程技術類 Engineering and Technology | 醫學工程 Medical Engineering |
| 2 | 工程技術類 Engineering and Technology | 資訊學門一領域 Information Discipline I |
| 3 | 工程技術類 Engineering and Technology | （15）生物資訊 Bioinformatics |
Research & Technology Platform Open to the Outside
Interested Area(s)for Interdisciplinary Research
生物資訊,臨床醫學,癌症醫學
Bioinformatics, Clinical Medicine, Oncology
Area(s) of Expertise & Research
近年研究多聚焦於癌症基因相關研究，藉由醫學及資訊工程跨領域背景之優勢，利用資料科學及生物資訊技術，協助多個臨床癌症醫學團隊進行癌症患者基因資料分析及預測模型建立，致力於推動癌症精準醫療之發展。迄今相關研究成果已陸續發表超過50篇SCI國際期刊 。過去研究成果聚焦於癌症基因資料應用於臨床醫學之研究，並具備演算法改良以及多模組分析模型開發經驗。
Professor Moi is experienced in various data-driven processes such as data exploration, visualization, analysis, data mining, and modeling using R and Python. Her expertise in these programming languages has enabled her to provide valuable insights and solutions to complex data-related problems. (Website: https://sites.google.com/view/moi-lab/bio)
Publication
| NO | Publication |
|---|---|
| 1 | 大腸鏡檢查後大腸直腸癌中的主要鋸齒狀分子特徵：系統性回顧和統合分析。 Predominant serrated molecular signature in postcolonoscopy colorectal cancer: A systematic review and meta-analysis. |
| 2 | Comparative Transcriptomic Analysis Identifies Predictive Biomarkers of Pathological Complete Response in Triple-negative Breast Cancer. Comparative Transcriptomic Analysis Identifies Predictive Biomarkers of Pathological Complete Response in Triple-negative Breast Cancer. |
| 3 | 腸道準備品質對無蒂鋸齒狀病變的最佳檢測至關重要：完美是否反而會成為優秀的敵人？ Bowel Preparation Quality for Optimal Sessile Serrated Lesions Detection: Is Excellent the Enemy of Good? |
| 4 | Adipocyte-driven STAT3-ANGPT2-PTGIS axis promotes cutaneous metastasis in breast cancer and represents a targetable pathway. Adipocyte-driven STAT3-ANGPT2-PTGIS axis promotes cutaneous metastasis in breast cancer and represents a targetable pathway. |
| 5 | An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate. An Information Fusion System-Driven Deep Neural Networks With Application to Cancer Mortality Risk Estimate. |
| 6 | Downregulation of AATK enhances susceptibility to ferroptosis by promoting endosome recycling in gefitinib-resistant lung cancer cells. Downregulation of AATK enhances susceptibility to ferroptosis by promoting endosome recycling in gefitinib-resistant lung cancer cells. |
| 7 | Targeting lncRNA MALAT1 attenuates lenalidomide resistance via CD38 epigenetic modulation, oxidative stress-mediated cell death, and remodeling of the pro-tumor microenvironment in multiple myeloma. Targeting lncRNA MALAT1 attenuates lenalidomide resistance via CD38 epigenetic modulation, oxidative stress-mediated cell death, and remodeling of the pro-tumor microenvironment in multiple myeloma. |
| 8 | Conditional survival after liver resection for early‑stage hepatocellular carcinoma Conditional survival after liver resection for early‑stage hepatocellular carcinoma |
| 9 | AKBs & MKBs: Knowledge-based systems to predict breast cancer mortality AKBs & MKBs: Knowledge-based systems to predict breast cancer mortality |
| 10 | Immunotherapy Response Predictive Score Based on Tumor Microenvironment Profiles for Predicting Immunotherapy Outcomes in Advanced Head and Neck Cancer Immunotherapy Response Predictive Score Based on Tumor Microenvironment Profiles for Predicting Immunotherapy Outcomes in Advanced Head and Neck Cancer |
| 11 | 利用prognostic mutation signature 來預測瀰漫性大B細胞病人之預後 Prognostic mutation signature would serve as a potential prognostic predictor in patients with diffuse large B-cell lymphoma |
| 12 | Polygenic risk score-based prediction of breast cancer risk in Taiwanese women with dense breast using a retrospective cohort study. Polygenic risk score-based prediction of breast cancer risk in Taiwanese women with dense breast using a retrospective cohort study. |
| 13 | 使用E-cadherin染色作為生物標誌物評估接受乳房保留手術患者的復發風險 Evaluating Recurrence Risk in Patients Undergoing Breast-conserving Surgery Using E-cadherin Staining as a Biomarker |
| 14 | Chromatin Remodeling Enzyme Cluster Predicts Prognosis and Clinical Benefit of Therapeutic Strategy in Breast Cancer. Chromatin Remodeling Enzyme Cluster Predicts Prognosis and Clinical Benefit of Therapeutic Strategy in Breast Cancer. |
| 15 | Deciphering the Functions of Telomerase Reverse Transcriptase in Head and Neck Cancer. Deciphering the Functions of Telomerase Reverse Transcriptase in Head and Neck Cancer. |
| 16 | The role of the genomic mutation signature and tumor mutation burden on relapse risk prediction in head and neck squamous cell carcinoma after concurrent chemoradiotherapy. The role of the genomic mutation signature and tumor mutation burden on relapse risk prediction in head and neck squamous cell carcinoma after concurrent chemoradiotherapy. |
| 17 | Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease. Shared decision-making for renal replacement treatment and illness perception in patients with advanced chronic kidney disease. |
| 18 | The Prognosis Performance of a Neutrophil- and Lymphocyte-Associated Gene Mutation Score in a Head and Neck Cancer Cohort The Prognosis Performance of a Neutrophil- and Lymphocyte-Associated Gene Mutation Score in a Head and Neck Cancer Cohort |
| 19 | 以SUV39H1表達作為淋巴結陽性三陰性乳腺癌患者省略放射治療的指南 SUV39H1 Expression as a Guideline for Omitting Radiotherapy in Lymph Node-positive Triple-negative Breast Cancer Patients |
| 20 | A non-socially-sensitive predictive model of prostate cancer for Asian males with benign prostatic hyperplasia: A multi-site cross-sectional case-control study. A non-socially-sensitive predictive model of prostate cancer for Asian males with benign prostatic hyperplasia: A multi-site cross-sectional case-control study. |
| 21 | Using the hazard function to evaluate hepatocellular carcinoma recurrence risk after curative resection. Using the hazard function to evaluate hepatocellular carcinoma recurrence risk after curative resection. |
| 22 | Prevalence of Carbapenem Resistance Genes among Acinetobacter baumannii Isolated from a Teaching Hospital in Taiwan Prevalence of Carbapenem Resistance Genes among Acinetobacter baumannii Isolated from a Teaching Hospital in Taiwan |
| 23 | A preoperative model to predict overall survival in patients with hepatoma undergoing resection A preoperative model to predict overall survival in patients with hepatoma undergoing resection |
| 24 | 結合轉錄組與蛋白質組學找尋乳癌荷爾蒙治療的交叉抗性標的基因 Comprehensive Transcriptomic and Proteomic Analyses Identify a Candidate Gene Set in Cross-Resistance for Endocrine Therapy in Breast Cancer |
Project
| NO |
YEAR — Source — No — Type
Project Name
|
Duration |
|---|---|---|
| 1 |
114 — DK 前瞻重點(原校院) — KMU-DK(B)115004-1 —
MMCircuit: An SGAM-based AI framework using ferroptosis, DDR, and immune axes to predict IMiD response in multiple myeloma( )
|
2026/01/01 ~ 2026/12/31 |
| 2 |
114 — N 國科會(原科技部) — NSTC113-2221-E-037-007-MY2 — 1 個人型
多模組分析策略應用於癌症基因組學資料中具路徑交互作用之差異表達基因(2/2)( )
|
2025/08/01 ~ 2026/07/31 |
| 3 |
113 — DK 前瞻重點(原校院) — KMU-DK(B)114002-1 —
Constructing an artificialintelligence platform for estimatingimmunomodulatory drug responsebased on a smart grid architecturemodel( )
|
2025/01/01 ~ 2025/12/31 |
| 4 |
113 — N 國科會(原科技部) — NSTC113-2221-E-037-007-MY2 — 1 個人型
多模組分析策略應用於癌症基因組學資料中具路徑交互作用之差異表達基因(1/2)( )
|
2024/08/01 ~ 2026/07/31 |
| 5 |
113 — Z 大專學生研究計畫及博士後 — NSTC114-2813-C-037-042-E — 8 大專學生研究計畫
114年度大專學生研究計畫-楊臻(後醫2)( )
|
2025/07/01 ~ 2026/02/28 |
| 6 |
112 — N 國科會(原科技部) — NSTC112-2221-E-037-007 — 1 個人型
使用多目標深度學習演算法建構三陰性乳癌化療族群抗藥性及預後風險評估模型( )
|
2023/08/01 ~ 2024/10/31 |
| 7 |
112 — Q 新聘教師計畫(校內) — KMU-Q113001 —
利用乳癌基因資料建構驅動基因突變-表達耦合模型( )
|
2024/01/01 ~ 2024/12/31 |