一、課程說明	
<br>The ability to repair tissue injuries is essential for 
<br>survival and is a prerequisite for all invasive medical intervention. It has 
<br>been shown that wound healing and cancer me<x>tastasis share common early 
<br>signaling pathways that have led to the hypothesis that tumors are “wounds 
<br>that do not heal”. In fact, cancer progression and wound healing are 
<br>influenced by many common factors, for example, regulators of angiogenesis and 
<br>inflammation are instrumental in different types of oncological therapy and 
<br>wound healing/regeneration.
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<br>With a focus on current research projects in Prof. YJ Chuang;s lab, this 
<br>special topics course begins with a systemic review of current topics in wound 
<br>healing and cancer therapy, followed by general and then focused discussion of 
<br>involved factors that are of interest.
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<br>需與老師討論後加簽。
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<br>二、指定用書	1. The li<x>nk Between Inflammation and Cancer: Wounds that do 
<br>not heal (Cancer Treatment and Research), Springer, 2005, by Angus G. 
<br>Dalgleish and Burkhard Haefner
<br>2. Tissue Repair and Fibrosis: The Role of the Myofibroblast (Current Topics 
<br>in Pathology), Springer, 2012, by Alexis Desmouliere and Beatriz Tuchweber
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<br>三、參考書籍	選取自知名期刊 (i.e. Science, Nature, Cell, Proc. Natl. Acad. 
<br>Sci. USA, Blood, Circulation Research…)之相關最新原始文獻
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<br>四、教學方式	講解、討論、辯證、報告
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<br>五、教學進度	每週深入探討、解析 1-2 篇學術論文與實驗數據
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<br>六、成績考核	課堂中參與討論 (50%)；專題報告 (50%) 
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<br>七、講義位址
<br>    http://	NTHU iLMS：http://lms.nthu.edu.tw
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<br>八、學生使用 AI 
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<br>有條件開放，請註明如何使用生成式AI於報告
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<br>基於透明與負責任的原則，本課程鼓勵學生利用AI進行協作或互學，以提升本門課產出品質。根據本校
<br>公布之佈的「大學教育場域AI協作、共學與素養培養指引」，本門課程採取有條件開放，請註明如何使
<br>用生成式AI於作業或報告，說明如下:
<br>學生可於報告中的「標題頁註腳」或「引用文獻後」簡要說明如何使用生成式AI進行議題發想、文句潤
<br>飾或結構參考等使用方式。若經查核使用卻無在作業或報告中標明，教師、學校或相關單位有權重新針
<br>對作業或報告重新評分或不予計分。
<br>本門課授課教材或學習資料若有引用自生成式AI，教師也將在投影片或口頭標注。
<br>修讀本課程之學生於選課時視為同意以上倫理聲明。
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