Study with Stephen Baker from the University of Cambridge
Public Health and Precision Medicine
Professor Stephen Baker
Programme Background
In the 21st century, the medical paradigm is shifting from a “disease-centered” approach to a “patient-centered” approach, marking a profound transformation in healthcare. With the rapid advancement of genome sequencing technologies, bioinformatics, and big data analytics, Precision Medicine has emerged as a central focus in global medical research and clinical practice.
Precision medicine emphasizes tailoring disease prevention, diagnosis, and treatment strategies based on an individual’s genetic background, environmental exposures, and lifestyle. This approach not only improves treatment efficacy but also reduces unnecessary medical interventions and optimizes healthcare resource allocation.
At the same time, the field of public health is increasingly integrating precision medicine concepts, transitioning from population-based management toward more refined, data-driven decision-making.
Against this backdrop, this program, guided by professors from world-leading universities, aims to help students systematically understand the core concepts and cutting-edge developments in public health and precision medicine. It also seeks to enhance interdisciplinary analytical skills and practical problem-solving abilities, laying a solid foundation for future academic pursuits and career development.
40
Advanced Research & Lectures
Hours
10
Neuroeconomics & Decision Science Topics Covered
95%
Previous Students Satisfaction Rate
100%
Programme Description
In this program, students will systematically study the fundamental theories of public health and preventive medicine, while gaining in-depth knowledge of precision medicine, including its scientific foundations, technological tools, and real-world applications. Key topics include:
- Public health systems and disease prevention strategies
- The definition, evolution, and core principles of precision medicine
- Genomics, proteomics, and their applications in medicine
- The relationship between individual variability and disease susceptibility
- Precision diagnostics and personalized treatment strategies
- Applications of big data and artificial intelligence in medical decision-making
- Case studies of precision medicine in chronic diseases (e.g., cancer and cardiovascular diseases)
At the final stage of the program, students will apply their knowledge to analyze real-world healthcare problems, complete a research report, and present their findings, thereby strengthening their research capabilities and practical skills.
Suggested Future Research Fields:
- Disease risk prediction models based on genomic data
- Individual differences in the immune system and their mechanisms in disease prevention and treatment
- Molecular targeted therapies and immunotherapy in precision oncology
- Integration of multi-omics data in personalized medicine
- The role of precision medicine in shaping public health policy

Who can join the programme?
- High school students
- University students
- Students studying or interested in medicine, immunology, biology, bioengineering, or related fields


Syllabus
Programme Schedule
| Date | Time | |
| Lesson 1 | 25 July 2026 | 10am - 12pm London time |
| Lesson 2 | 01 August 2026 | 10am - 12pm London time |
| Lesson 3 | 08 August 2026 | 10am - 12pm London time |
| Lesson 4 | 15 August 2026 | 10am - 12pm London time |
| Lesson 5 | 22 August 2026 | 10am - 12pm London time |
| Lesson 6 | 29 August 2026 | 10am - 12pm London time |
| Lesson 7 | 05 September 2026 | 10am - 12pm London time |
| Lesson 8 | 12 September 2026 | 10am - 12pm London time |
| Lesson 9 | 19 September 2026 | 10am - 12pm London time |
| Lesson 10 | 26 September 2026 | 10am - 12pm London time |
Published Research Paper Option
Once students have completed the final draft of their papers, they may choose to submit their work to international academic journals indexed by CPCI or EI. We provide guidance and support throughout the submission process for these indexed publications.
The publication fee is £690 per research article, as determined by the journal. Once an article is accepted, it typically becomes searchable on Google and on the journal’s platform approximately seven months after the publication offer is made.







