Research Summary
Understanding how cancer cells interact with the immune system is key to developing better treatments. New experimental tools allow researchers to map immune cell types and their locations within tumours, while advanced single-cell sequencing reveals how each cell’s gene activity varies. As Canada Research Chair in Machine Learning in Translational Biomedicine, Dr. Kieran Campbell is developing state-of-the-art artificial intelligence (AI) and machine learning methods to interpret these complex datasets.
He and his research team are identifying more accurate biomarkers for predicting patient outcomes and uncovering new drug targets that could strengthen the body’s anti-tumour response. By integrating 3D tumour imaging, multi-modal sequencing, and predictive AI models, they aim to provide deeper insights into cancer biology and deliver powerful analytical tools that can be applied across many areas of biomedical science. Ultimately, their findings will advance precision medicine for cancer patients.