Artificial Intelligence in Cancer Research

OVERVIEW

 

Artificial intelligence (AI) is revolutionising the entire medical field, changing the way the data is used to make decisions, analysing big data, and using algorithms for cancer diagnosis. AI technology integration in cancer could increase diagnostic accuracy, time, improve clinical decision-making, and result in improved patient outcomes. AI-guided clinical treatment can make a significant contribution to the reduction of health inequalities, especially in low-resource settings. This Specialization will equip you with the knowledge of the cellular and molecular basis of cancer and AI and/or machine learning in medicine. To stay competitive in the field of cancer research, universities and organizations need qualified cancer experts with knowledge and understanding of AI and machine learning who use cutting-edge AI methods for detecting patterns in huge amounts of data, extracting associations between complex data features, and finding characteristics in data (including images) that the human brain cannot perceive.

 

This 16-week Specialization is designed to equip you with the knowledge you need to use AI and machine learning in cancer research. It will train you to perform research in an international research environment. Through the virtual internship programme, you’ll gain the essential knowledge and skills required to participate in AI and cancer and immunology research. This Specialization aims to provide knowledge of cancer biology and advances in AI.

PROGRAMME CONTENT

 

The online distance-learning delivery of the course will provide opportunities to receive expertise from the Cambridge Centre for Innovation and Development (CamCID) researchers, material from our partners, and guest lectures.

 

• Part 1: PCert - Cancer Biology and Immunology Research (4 modules): This 4-week PCert course will provide you the knowledge of the cellular and molecular basis of cancer. It will provide you with the skills to participate in cancer research projects. This course is designed to provide participants with a fundamental understanding of the intricate relationship between cancer biology and immunology. Participants will delve into the mechanisms underlying cancer development, progression, and the pivotal role played by the immune system in detecting and combating cancer cells. The course equips learners with a solid foundation in both cancer biology and immunology, fostering a comprehensive understanding of how these fields intersect. Further details are mentioned on the PCert - Cancer Biology and Immunology Research page

 

• Part 2: PCert - Artificial Intelligence in Medicine (4 modules): This 4-week PCert course is designed to demonstrate a solid understanding of the fundamental concepts, principles, and technologies related to artificial intelligence and machine learning in the context of medical applications. You will also learn about the history of AI and the components of machine learning.  Further details are mentioned on PCert - AI in Medicine page.

 

• Part 3: Researchers Training Programme (4 weeks): This unique 4-week online training programme is designed to equip you with the knowledge you need to succeed in your career as a researcher in the AI field. Engage in research activities, exploring ethical challenges and making research presentations. Develop problem-solving skills to identify and address challenges related to academic research. Further details are mentioned on the Researchers Training Programme page.

 

• Part 4: Virtual Internship - Research Training (4 weeks): This 4 weeks of virtual training will provide you with research skills through research-based tasks and online guidance during the tasks. You will participate in research activities (tasks and analysis) and apply your knowledge of AI in cancer research. Develop critical thinking skills to evaluate the effectiveness and limitations of AI applications in cancer research. You will engage in research skills development tasks to stay current with evolving technologies and practices in the field of AI and robotics in medicine. Further details are mentioned on the Internship - AI in Medicine page.

Entry Requirements

 

• This specialization starts with a beginner level and progresses towards the mid and advanced levels. However, prior programming knowledge is NOT required.
• This specialization is designed for all levels of students (Undergraduate students, Master's degree students, or Ph.D.).
• All our online courses are taught in English. Therefore, you must have good English language skills.

Certificate of Completion

 

After completing all the parts of this Specialization, you will be provided with an e-certificate of completion and a virtual internship at Cambridge Centre for Innovation and Development (CamCID).

Career Opportunities

 

This specialization is designed to aid professional development in the field of AI in cancer. Completing a Specialization programme on "AI in Cancer Research" opens up diverse career opportunities at the intersection of AI and healthcare. Here are some potential career paths that participants may explore:

 

• Clinical AI Specialist
• Bioinformatics Analyst
• Healthcare Data Analyst
• AI Researcher in Healthcare
• Health Informatics Specialist

• Cancer Data Scientist

• Clinical Informatics Specialist
• AI Consultant for Healthcare Organizations
• Research Scientist in AI and Oncology
• Clinical Trials Analyst
• Ethics and Policy Advisor in Healthcare AI
• Educator and Trainer

 

As the field of AI in healthcare continues to evolve, professionals with expertise in both AI and cancer research are increasingly in demand across various sectors, making this Specialization a valuable asset for career advancement.

Design AND Delivery

 

This online programme is delivered on our virtual learning platform (Moodle). The programme is self-paced and it can be completed on your schedule within programme's duration. The programme includes recorded lectures, templates, learning material, ebooks, and research-based tasks. It is designed by the CamCID Research Team and Guest Lecturers (faculty members from international universities).

May include additional material from our partners.

Fees and Funding

 

UK and International: £419 (including electronic certificate and virtual internship).