腫瘤診斷與治療策略

課程綱要(中) 幹細胞生物學、生物技術與應用科學的進展持續推動醫學研究與創新療法的發展,而尖端的生物資訊平台與開放資料庫則加速了精準醫學與標靶治療的進步。本課程將介紹癌症治療相關的重要概念與方法學,並結合實作訓練,讓學生能夠實際操作文獻中常見的工具。透過這樣的學習過程,學習者將同時獲得理論知識與應用技能,不僅能夠批判性地解讀研究成果,設計有效的癌症檢測與治療流程,亦能培養獨立學習的能力。 教學目標(中) 透過本課程,學生將能建立對幹細胞生物學、癌症生物學與生物資訊學之核心概念的紮實理解,並學習這些領域如何交互作用以推動醫學研究與治療創新。他們將具備運用尖端生物資訊平台與開放資料庫的能力,以支持標靶治療與精準醫學的發展。透過實作訓練,學生將強化技術技能,熟悉文獻中廣泛使用的工具,並培養獨立學習的能力。最終,學習者將能批判性地解讀研究成果,設計有效的癌症檢測與治療流程,並將理論知識轉化為生物醫學與製藥領域中的實際應用。預期學習成效如下: 1. 描述並理解幹細胞生物學、癌症生物學與生物資訊學中的關鍵術語與概念。 2. 比較各種癌症診斷方法,並闡述生物醫學與製藥產業中最前沿的癌症治療策略。 3. 應用開放資源與整合資料庫,在特定情境下預測癌症患者的臨床結果。 4. 設計一個全面且個人化的流程,用於癌症的檢測、治療與後續追蹤照護。 課程綱要(英) Advances in stem cell biology, biotechnology, and applied science continue to drive medical research and the development of innovative therapeutics, while cutting-edge bioinformatics platforms and open-source databases accelerate progress in targeted therapy and precision medicine. This course introduces essential concepts and methodologies for developing cancer treatments and integrates hands-on training to provide students with practical experience using tools commonly employed in the literature. Through this approach, learners will gain both theoretical understanding and applied skills, enabling them to critically interpret research, design effective workflows for cancer detection and treatment, and cultivate the capacity for independent learning. 教學目標(英) Through this course, students will develop a solid understanding of the fundamental concepts in stem cell biology, cancer biology, and bioinformatics, and learn how these fields intersect to advance medical research and therapeutic innovation. They will acquire the ability to navigate and apply cutting-edge bioinformatics platforms and open-source databases to support targeted therapy and precision medicine. By engaging in hands-on practice, students will strengthen their technical skills, gain experience with tools widely used in the literature, and cultivate the capacity for independent learning. Ultimately, learners will be equipped to critically interpret research findings, design effective workflows for cancer detection and treatment, and translate theoretical knowledge into practical applications in biomedical and pharmaceutical contexts. The intended learning outcomes are summarized below. (1). To describe and understand key terminology and concepts in stem cell biology, cancer biology, and bioinformatics. (2). To compare various approaches to cancer diagnosis and highlight cutting-edge cancer therapeutics in the biomedical and pharmaceutical industries. (3). To apply open-source materials and integrated databases to predict clinical outcomes of cancer patients under defined scenarios. (4). To design a comprehensive, personalized pipeline for cancer detection, treatment, and follow-up care.

Students with undergraduate levels of knowledge of biochemistry and cell biology are capable of participating and engaging the course.

考評方式 期中考 (25%), 期末考 (25%), 口頭報告 (25%), 出席(5%), 參與 (10%), 作業 (10%) 考評方式 Midterm (25%), Final (25%), Oral Presentation (25%), Attendance (5%), Participation (10%), Homework (10%)

課程用書/參考資料 相關論文著作 相關學習網址 Related publications.