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.
媒體報導
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
本研究由中研院院士龔行健帶領台北醫學大學及國家衛生研究院組成的團隊執行,研究論文已於今年4月23日刊登在全球知名醫學期刊「自然通訊」 (Nature Communications)
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 ...
Neuroscience research has always been a competitiv ...
Artificial Intelligence of Things (AIoT) is the co ...