Precision Diagnosis and
Treatment for Cancer
PROGRAM DATES
August 2 - 7, 2026
TUITION
7,500 RMB
(Early Decision Price 6,750 RMB)
WHO CAN APPLY
All Undergraduate Students
LANGUAGE
English
Overview
The Precision Diagnosis and Treatment for Cancer Program is organized by Medical Physics Graduate Program of Duke Kunshan University and its principal instructors, aiming to provide students with a great opportunity to deeply explore the field of medical physics. Medical physics is an emerging interdisciplinary field that integrates physics, engineering, biology, medicine, and computer science tools to address the needs in healthcare. Here, students can transform their knowledge in physics, engineering, and other sciences into interdisciplinary expertise in combating cancer and other diseases.
The Precision Diagnosis and Treatment for Cancer Program is organized by Medical Physics Graduate Program of Duke Kunshan University and its principal instructors, aiming to provide students with a great opportunity to deeply explore the field of medical physics. Medical physics is an emerging interdisciplinary field that integrates physics, engineering, biology, medicine, and computer science tools to address the needs in healthcare. Here, students can transform their knowledge in physics, engineering, and other sciences into interdisciplinary expertise in combating cancer and other diseases.
Learning Outcomes
Develop core skills in AI and biomedical research
Gain hands-on experience in applying machine learning and data analysis to real-world oncology research, understanding how AI supports diagnosis, treatment, and precision medicine.
Enhance research and critical thinking abilities
Strengthen scientific reasoning, analytical judgment, and data interpretation skills to address complex research questions.
Foster interdisciplinary collaboration and academic communication skills
Collaborate with peers from diverse academic backgrounds and present research outcomes through a final group presentation, improving teamwork and scholarly communication.
Broaden global perspectives and academic exchange
Engage in meaningful discussions with international professors and peers, gaining exposure to cutting-edge research ideas and global learning experiences.
Earn academic recognition and future development opportunities
Outstanding participants may receive recommendation letters from professors in recognition of their research ability, teamwork, and academic potential.
Program Highlights
- Immersive exploration of key components within the American medical physics system, including modern medical imaging, cancer radiation therapy, fundamentals of radiation physics and radiobiology, AI applications in cancer diagnosis and treatment, and advanced radiotherapy techniques.
- Direct engagement with internationally renowned academic mentors and leading experts in the field, offering firsthand exposure to the intellectual appeal of medical physics.
- Hands-on experience in medical physics practice, including face-to-face interactions with frontline radiation oncologists and medical physicists, addressing career development questions.
- Specialized English academic workshops led by foreign professors specializing in language education, enhancing academic English proficiency and fostering familiarity with an international university environment.
- Scholarships: Students who apply and are admitted to the Fall 2026/27 Medical Physics (MP) graduate program will be eligible for exclusive scholarships from the Global Summer Institute.
Core Sessions in this Program
Program Instructors
Fang-Fang Yin
Full Professor of Medical Physics
Director for the Medical Physics Program
Master of Science in Medical Physics
Duke Kunshan University
Lei Zhang
Assistant Professor of Medical Physics
Master of Science in Medical Physics
Duke Kunshan University
Manju Liu
Assistant Professor of Medical Physics Master of Science in Medical Physics
Duke Kunshan University
Zhenyu Yang
Research Assistant Professor of Medical Physics
Master of Science in Medical Physics
Duke Kunshan University