Members

AAIMC‑OC is a clinician-led international collaborative consortium bringing together expertise in AI, clinical oncology, pathology, and data science. Our pilot started in 3 continents (Europe, Africa, and Asia) and now have collaborators in 5 continents (Europe, Africa, Asia, North America and Australia).

This membership list includes collaborators who have joined and supported us over time. Founding teams are marked by an asterisk (*).

Leadership

University of Birmingham*

Expertise: Programme coordination, domain knowledge, image datasets

• Dr Elaine Leung, Project Lead

Core AI and Data Science Teams

AI for Oncology, Netherlands Cancer Institute*

Expertise: AI for oncology, model development, image datasets

• Dr Hugo Horlings, AI for Oncology Lead
• Dr Jonas Teuwen, AI for Oncology Lead
• Sara P. Oliveira, Postdoctoral Researcher for AAIMC-OC
• Ajey Pai Karkala, PhD Candidate, AI for Oncology

Clinical Data Science, University of Maastricht & Medical Data Works, Netherlands*

Expertise: Clinical data science, federated learning

• Prof. Andre Dekker, Clinical Data Science Lead
• Johan van Soest, Medical Data Works

The AIM Lab, University of British Columbia, Canada

Expertise: AI model development, image datasets

• Dr Ali Bashashati, Director of AI Research (OVCARE)

Academic Partners

University of Birmingham*

Expertise: Molecular diagnostics, pathology, Engineering

• Prof. Andrew Beggs, Academic Mentor
• Raji Ganesan, Professor of Gynaeoncological Pathology
• Laura Cole, Programme Manager
• Aashti Shauriq, AAIMC-OC Technician
• Dr Thomas Mills, Lecturer in chemical engineering
• Mr Rhys Coldrick & Mr Maninder Dayal, Makers’ Space

University of Edinburgh*

Expertise: Oncology, translational research, image datasets

• Prof. Charlie Gourley, Professor of Medical Oncology
• Mr Mike Churchman, Laboratory Manager

Kolkata Gynecological Oncology Trials and Translational Research Group (KolGOTrg, India)*

Expertise: LMIC gynaecological oncology, clinical trials, image datasets

• Prof. Asima Mukhopadhyay, Professor of Gynaeoncology; Founder, KolGOTrg

Kenyatta National Hospital, Nairobi/ Maseno University, Kisumu in Kenya*

Expertise: Pathology, LMIC implementation, image datasets

• Dr Mary Mungania, Consultant Pathologist, KNH
• Dr Job Mwale, Consultant Pathologist, KNH
• Dr Edwin Walong, Senior Lecturer and Consultant Pathologist, Maseno University

University of Basel*

Expertise: Digital pathology, tumour profiling, image datasets

• Prof. Viktor Koelzer, Professor of Digital Pathology; Lead, Swiss Tumor Profiler Initiative

Leiden University Medical Center*

Expertise: Digital pathology, image datasets

• Prof. Tjalling Bosse, Professor of Digital Pathology (Lead, AIRMEC Project)

University of Manchester*

Expertise: Gynaecological oncology

• Prof. Richard Edmondson, Professor of Gynaeoncology

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Additional Academic Partners after our pilot initiation

The OpenFlexure Project

Expertise: Low‑cost imaging technique

• Dr Richard Bowman, Royal Society University Research Fellow, University of Glasgow
• Dr Joe Knapper, Post-doctoral Research Associate, University of Glasgow
• Julian Stirling, Chief Executive at Humanitarian Technology Trust and lead developer
• Prof. William Wadsworth, Professor of Physics at the University of Bath

Wider Collaborators and Support

• Dr Faiza Gaba, GO-SOAR Consortium; Global Networks
• Dr Allan Njau & Dr Jonathan Wawire, Aga Khan University, Kenya; Molecular diagnostics
• Dr Anisa Mburu, Aga Khan Hospital Mombasa, Kenya; LMIC Gynaecological Oncology
• Dr Sidong Liu, Macquarie University, Australia; Federated AI development in histopathology
• Dr Mary Kinloch, University of Saskatchewan, Canada; Image dataset
• Prof. Martin Oehler, University of Adelaide, Australia; Image dataset
• Prof. Estrid Høgdall & Dr Lone Dupont, University of Copenhagen, Denmark; Image dataset (external validation)
• Prof. Susan Ramus, Ovarian Tumour Tissue Analysis Consortium; Image dataset (external validation)