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112學年度博士班入學考試簡章及重要日程公告,報名系統將於112.03.06(週一)上午09:00開放,博士班入學考試報名網址:請至招生組首頁點選『報名系統』→選擇『博士班入學考試』。
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112學年度碩士班暨碩士在職專班入學考試簡章及重要日程公告,報名系統將於111.12.27(週二)上午09:00開放,碩士班暨碩士在職專班入學考試報名網址:請至招生組首頁點選『報名系統』→選擇『碩士班暨碩士在職專班入學考試』。
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北一女中今年應屆科學班高三生梁詠榛耗時約8個月,在台北醫學大學醫療資訊研究所助理教授楊軒佳(圖左)指導下,完成個別科學研究成果
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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.
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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.
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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.
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This August, six representatives from three Taiwanese medical technology startups traveled to Berkeley for three months of intense coaching, training, and networking as part of UC Berkeley School of Public Health’s newly launched Taiwan-Berkeley Health Innovation Accelerator.
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Taipei Medical University (TMU) offers a trio of d ...
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Clare Huang Fu is an associate professor, cancer r ...