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No Certificate / Course on Audit Track
This course provides a foundational understanding of the tumor microenvironment and its critical role in the development and progression of brain cancers, with a particular focus on gliomas. Learners will explore the complex interactions between tumor cells, immune cells, and surrounding tissues, along with the role of inflammation in cancer biology. The course also introduces how spatial transcriptomics and artificial intelligence are transforming precision neuro-oncology by enabling deeper insights into tumor heterogeneity and disease mechanisms. Through curated learning resources, participants will build the knowledge needed to understand modern approaches to brain cancer research, diagnosis, and personalized treatment strategies.
This course has been curated by Riphah International University faculty and staff using publicly available third-party content and Open Educational Resources (OER) for self-paced learning. Learners will engage with curated open-access materials to achieve the course learning outcomes. All third-party content is used under open-access or fair-use policies, while any original materials are developed specifically for this learning experience.
Source and Credits:
Source and Credits:
By the end of this course, you will be able to:
Learners should have a foundational understanding of biology, molecular biology, or biomedical sciences at the undergraduate level. Basic familiarity with concepts in genetics, cell biology, and bioinformatics will be beneficial. No prior experience with AI, machine learning, or advanced computational tools is required, as the course provides introductory guidance for these techniques.
Postgraduate students, researchers, and professionals in biomedicine, bioinformatics, and oncology. This course is designed for those who seek a research-driven understanding of spatial transcriptomics and AI-based analysis of the tumor microenvironment. Ideal learners are those interested in exploring cellular heterogeneity, immune interactions, and precision oncology through molecular medicine, bioinformatics, and computational biology approaches. The course suits individuals aiming to develop practical skills in modern AI-driven and translational techniques, including those without prior advanced training or access to specialized laboratory infrastructure.
Tumor Microenvironment Overview
Tumor microenvironment: Clinical impact (Video)
Glioma Biology and Inflammation
Tumor microenvironment: Clinical impact (Video)
Less Than 1 Hour
Intermediate
Fully Online (Asynchronous)
Self Paced
