Dr. Hwang, Ming-Jing ’s Lab黃明經 博士 實驗室

RESEARCH

The main focus of our research has been to develop computational strategies and algorithms for analysis, especially on large-scales, of biological data to extract knowledge and generate hypotheses. Over the years we have developed several bioinformatics tools, such as those for comparing protein structures, protein-protein docking, and ligand binding site prediction. We have also developed network-based approaches to study nature’s design of protein architecture and its evolution, and to understand the design principles of biological circuits. In recent years, we have collaborated with physicians using patient data from local hospitals to develop artificial intelligence (AI) tools for medical applications. Two completed projects are: 1) identification of a handful of circulating miRNA as liquid biopsy biomarkers for detecting and classifying six major cancers; 2) electrocardiogram-based detection of cardiac diseases such as arrhythmias and pulmonary hypertension. These AI tools are currently being implemented to test their prediction effectiveness in real-world clinical settings. In the future, we will continue the AI research, on additional diseases such as sleep apnea, and on biomedicine problems such as drug discovery.

研究介紹

本實驗室研究的主要重點是開發計算策略和演算法,用於尤其是大規模的生物數據分析,以擷取關於生物學或醫學的知識和產生假設。多年來,我們開發了多種生物資訊的工具,例如用於比對蛋白質結構、蛋白質-蛋白質對接和配體結合位點預測的工具。我們還開發了基於網絡的方法來研究蛋白質結構的自然設計及其演化,以及理解生物電路的設計原理。近年來,我們與醫生合作,利用醫院的患者數據,開發可用於醫療應用的人工智慧(AI)工具。兩個已完成的研究是:1) 發現少許在血液循環的 miRNA 可作為液體活檢生物標誌物,適用於檢測和分類六種主要癌症; 2)以心電圖檢測心律不整和肺動脈高壓等心臟疾病。目前我們正將這些AI工具架設在醫院,測試它們在真實臨床環境中的預測效果。未來,我們將繼續AI的研究,研究睡眠呼吸中止症等其他疾病,以及藥物研發等生物醫學的問題。

Dr. Hwang, Ming-Jing
黃明經 博士

Research Fellow
研究員
Division Chief

Ph.D. University of Pittsburgh
  • TEL(lab):02-27899033 (Room No: N121)
  • FAX:02-27887641

Specialty:
  • Bioinformatics
  • Computational Structural/Systems Biology

HIGHLIGHT 重要成果

Detection and Classification of Cardiac Arrhythmias by a Challenge-Best Deep Learning Neural Network Model
iScience, Mar 27, 2020
Risk stratification for lung adenocarcinoma on EGFR and TP53 mutation status, chemotherapy, and PD‐L1 immunotherapy
Cancer Medicine, Aug 13, 2019
A proteome view of structural, functional, and taxonomic characteristics of major protein domain clusters
Scientific Reports, Oct 27, 2017

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