Monthly DIAG News – November 2026
DIAG at conferences
DIAG will be present during ESMO AI in Berlin. Clément Grisi and José Teixeira will present their research abstracts investigating tumor-agnostic features associated with microsatellite instability (MSI) in H&E-stained whole-slide images (WSIs), exploring the potential of AI to identify shared morphological patterns across different cancer types.
In addition, [member/Nadieh Khalili] has been invited to give a talk entitled “Towards Multimodal Evidence-Based Medical Diagnosis via Reasoning Agentic Workflows”, highlighting DIAGs work on CHIMERA-Agent and how agentic AI can integrate histopathology, radiology, and clinical data to support evidence-based clinical decision-making in oncology.
New DIAG members
We welcomed the following new members in October:
Highlighted publications
- Dimitriadis, A., Kalliatakis, G., Osuala, R., et al. (2026). Cross-attention fusion of biparametric MRI sequences with demographic and clinical variables for patient-level classification of clinically significant prostate cancer. Scientific Reports.
- Suazo-Zepeda, E., de Bock, G.H., Antonissen, N.J., Jacobs, C., Mohamed Hoesein, F.A., Gietema, H.A., Sidorenkov, G.A., Vliegenthart, R., & Heuvelmans, M.A. (2026). Associations between CT characteristics of lung cancer lesions and histologic subtypes in lung cancer screening. European radiology.
- de Boer, S., Häntze, H., Ziegelmayer, S., Russo, T., van Ginneken, B., Prokop, M., et al. (2026). RCC-AID: Renal cell carcinoma AI dataset for medical imaging research. doi:10.64898/2026.04.22.26351451