分子影像暨核醫藥物總論
General Molecular Imaging and Nuclear Medicines
| 節 | 週五 |
|---|---|
1 08:00–08:50 | 分子影像暨核醫藥物總論 YB101（陽明） 2 節連堂 |
2 09:00–09:50 |
* 根據陽明交大上課時間表所列
This class is to make introductions to advanced levels of biomedical imaging and radiological sciences. Each specific topic will be lectured by faculties of the Department of biomedical imaging and radiological sciences, from radiation biology, radiation chemistry, molecular imaging, nuclear medicine, MRI and Programming, deep learning, and AI. The contents are for PhD students.
radiation related courses in master level
無備註
The instructor will prepare the course materials and handouts based on their experience in various professional fields. Through lectures, student interactions, and the provision of case discussions, the instructor will help students understand the course content to achieve the teaching objectives.
Attendance and participation 10%; Midterm presentation 35%; final presentation 35%; Final essay 20%
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| 週次 | 主題 |
|---|---|
| 第 1 週 | Omics in Radiological Sciences |
| 第 2 週 | Introduction to Radionuclide Production |
| 第 3 週 | Introduction of molecular imaging probes |
| 第 4 週 | Recent Developments in Nanomedicines |
| 第 5 週 | Molecular Radiation Biology and Oncology |
| 第 6 週 | Radiotherapy and Tumor Immune Microenvironment (國慶連假- 線上授課) |
| 第 7 週 | Translational Medical Research |
| 第 8 週 | Midterm Panel Discussion and Presentation (線上授課) |
| 第 9 週 | Radiotheranostics in oncology |
| 第 10 週 | Metabolism and Radiation Therapy |
| 第 11 週 | Recent development in boron neutron capture therapy |
| 第 12 週 | Diagnostic and therapeutic radiopharmaceuticals |
| 第 13 週 | Aging, Senescence, Cancer, and Radiotherapy |
| 第 14 週 | Artificial intelligence/ machine learning in medicine |
| 第 15 週 | Nanotechnology and radiotherapy |
| 第 16 週 | Final panel discussion and presentation |
Handouts provided by each lecturer
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