We are looking for enthusiastic and passionate postdocs and PhD students. Contact us to join our team!
Danny presented his AMGT paper at ISBI 2026, showcasing a new efficient approach for learning from multi-scale pathology images. The work demonstrates how integrating information across different spatial scales can help predict treatment response in patients with ovarian cancer.
Congratulations to Jenny Rodriguez Venegas on winning the Peter Quinn Award for Excellence in Bioscience for her Master’s research project investigating the role of mTOR signalling in neutrophils, carried out in collaboration with Dr Annika Warnatsch.
Dr Sailem participated in discussions on translating advances in AI into meaningful impact for healthcare and patients during the AI Minister’s visit to King’s College London.
Launch of first online dashboard for AI and cancer papers to accelerate AI adoption in the clinic. Check it out here.
Ryan Ma has started his PhD in collaboration with Anthony Kong.
TissuePlot is accepted for a talk at Bio+Med Vis Challenge at IEEE Vis 2024. Check our web app at https://sailem-group.github.io/TissuePlot/ and preprint at https://www.biorxiv.org/content/10.1101/2024.08.14.607906v1.
Archie Munro, a master's student who carried out his research project with the Sailem group on AI applications in whole-body MRI imaging, won the Best Poster Prize at the Centre for Pharmaceutical Medicine Symposium.
Jeffery Wei has joined us to explore the application of self-supervised learning in histopathology.
- Our article with the PRISM team on AI-powered tool for predicting mesothelioma diagnosis using graph neural networks is now published in Cell Reports Medicine (Link).
- Shiv Jamdade and Ryan Ma joined us to work on the TransNat project.
Dr Sailem is presenting at ISMB 2023 in Leon.
Lakshmi joined the group to work on topological data analysis.
Chun-I (Danny) Wu joins us to work on CRUK funded project. Danny will work on developing weakly supervised learning approaches for histopathological imaging data. Wellcome Danny!
Heba Sailem won the Career Development Award for developing deep learning approaches for deciphering the tumour microenvironment toward improving patient outcomes.