為了培育具國際競爭力的智慧生醫人才,以因應目前國際腫瘤生物醫學人才之需,故設置腫瘤分子生物EMI微學程(以下簡稱本學程)。癌症科技發展一直是醫學研究的重要趨勢,此學程將提供學生雙語化學習環境,透過全英語課程,建立學生基礎生物學及癌症生物學之相關知識,到專業的分子細胞生物學與進階腫瘤生物學等深入學習,最後讓學生瞭解癌症科技發展臨床現況、應用,以及未來精準治療在癌症的機會與挑戰,透過鏈結基礎與臨床應用且搭配全英語課程的學習,培養具有國際競爭力的腫瘤生物醫學專業人才。學生完成本學程後,應能:(一)瞭解生物學之原理與應用及知識。(二)培育學生了解腫瘤生物醫學領域的臨床需求。(三)建立精準腫瘤生物醫學於精準治療的臨床發展。
媒體報導
為了培育具國際競爭力的生醫產業人才,以因應目前國際生醫產業人才之需,故設置臨床產業鏈結EMI微學程(以下簡稱本學程)。臨床研究與產業發展之間一直有著緊密的聯繫,此學程旨在培養學生建立基礎生物知識及醫學資料分析能力,進而學習專業的細胞與分子生物學及相關臨床應用知識,學習如何將臨床研究、臨床試驗與產業發展互動,並利用全英語化課程學習,提供雙語化環境,提升學生國際競爭力,培育具有國際移動力的生醫產業人才。學生完成本學程後,應能:(一)瞭解生物醫學及醫學資料之原理與應用及知識。(二)培育學生了解臨床研究領域與產業發展需求之關係。(三)建立臨床研究與產業鏈結於臨床試驗的發展。
Taipei Medical University (TMU) offers a trio of dynamic PhD programmes that promise to invigorate the realms of translational science, cancer biology and drug discovery, and medical neuroscience. These programmes not only delve into cutting-edge research but also prioritise hands-on experience, collaboration, and global engagement. We spoke to Taipei Medical University to learn more about these three exciting areas of PhD study.
Clare Huang Fu is an associate professor, cancer researcher, at Taipei Medical University’s Graduate Institute of Cancer Biology and Drug Discovery and Vice Dean of International Affairs at College of Medical Science and Technology. She also runs a drug discovery platform at ATP BioPharm, where she uses AI to speed the design and commercialization of novel cancers treatments, all while balancing the responsibilities of being a mother.
Translational medical research is a critical issue in recent biomedical research. However, most translational research was conducted in animal studies and confirmed by clinical samples without additional action. There are very few success stories of moving from bench to the bedside, specifically in the East Asian scientific society. The central concept of translational science is designed to move basic research into clinical care at the patient’s bedside and take the messages from the clinical application back into the research environment. However, the connection between basic research and clinical application involved many barriers, such as transgenic animal models for disease research, structure chemistry, PDX model for drug validation, bioinformatics, different background in disease mechanisms, therapeutic targets, and clinical trials, etc. To build a solid team for bridging between basic scientists and clinical healthcare experts, Taipei Medical University established the program for translational research. This program no longer focuses on his/her immediate research goal. We gather experts with various backgrounds, including experts in structural chemistry, biology, biochemistry, animal models, drug screening, antibody drugs and clinical trials. We built a research team and formulated into the department to establish the ability to use deductive logic to explain research results and build a super-highway for clinical trial and clinical practice. We welcome anyone interested in the research of biomedical entrepreneurs to join us in translational research.
Neuroscience research has always been a competitive and popular field of study in biomedical science around the world. Being one of the prime research focuses, neuroscience research in TMU continues to develop vastly over the past few decades. In this session, we introduce you the Ph.D. Program, and the newly added Master Program, of Medical Neuroscience, including faculties with a variety of research interests, the offered courses with comprehensive coverage in neuroscience, and sufficient resources in all aspects. Our primary goal is to ensure the complete training of new talents in neuroscience research. Please join this session if you are interested in graduate study in neuroscience.
Artificial Intelligence of Things (AIoT) is the combination of artificial intelligence and internet of things (IoT), and has opened a wide range of opportunities for healthcare advancements. Wearable devices, non-contact sensors, m-health technologies are some examples of IoT which when connected to the internet can collect valuable medical data. This data can provide insights about the symptoms, the patterns and variations, enable remote care and monitoring, and encourage participatory health care among the patients. Research has focused on the IoT devices, and how they can be used to monitor health parameters and detect health conditions. Non-contact sensors are gaining popularity in clinical settings for monitoring the vital parameters of patients. Application of artificial intelligence (AI) algorithms on the data collected from IoT devices can help in prediction, early detection, and better management of diseases. These models could assist healthcare professionals in decision making and formulating better care plans for patients. Thus, artificial intelligence has a wide range of applications for healthcare data from IoT devices.
New hope for Alzheimer’s treatment Taipei Medical University leads the world in new discoveries with publications in internationally renowned journals
媒體報導
Taipei Medical University (TMU) offers a trio of d ...
Clare Huang Fu is an associate professor, cancer r ...
Translational medical research is a critical issue ...