Supporters

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 list includes collaborators who have joined and supported us over time. Founding teams of our initial study (funded by US DoD CDMRP FY23 OCRP; OC230126) 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, pathology and global women’s health

• 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
• Alicia Leon, gynaecological pathology
• Marcus Rijken, global women’s health

Clinical Data Science, Maastricht University and Maastro Clinic & 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, biorepository, engineering, clinical AI Implementation

• Prof. Andrew Beggs, Academic Mentor
• Prof. Alastair Denniston, Executive Director of Centre of Excellence for Regulatory Science and Innovation in AI and Digital Health (CERSI-AI); Clinical AI implementation and mentorship
• Prof. Chris Green, Clinical Professor & Consultant Physician in Infectious Diseases; LMIC innovation development and mentorship
• Raji Ganesan, Professor of Gynaeoncological Pathology
• Laura Cole, Programme Manager of the Beggs Lab
• Aashti Shauriq, AAIMC-OC Technician
• Dr Thomas Mills, Senior lecturer in chemical engineering
• Dr David Bassett, Lecturer in healthcare technologies
• Mr Rhys Coldrick & Mr Maninder Dayal, Makers’ Space
• Mr Gareth Bicknell, Human Biomaterials Resource Centre

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 Job Mwale, Consultant Pathologist, KNH
• Dr Mary Mungania, Consultant Pathologist, KNH
• Prof. Rose Kosgei, 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
• Prof. Geoff Hall, Director for DATA-CAN, the UK’s Health Data Research Hub for Cancer; Data science and mentorship
• Prof. Anita Grigoriadis, PharosAI, London; Data science training
• Dr Sidong Liu, Macquarie University, Australia; Federated AI development in histopathology
• Dr Allan Njau & Dr Jonathan Wawire, Aga Khan University, Kenya; Molecular diagnostics
• Dr Tonui P. Kipkirui & Dr Peter Itsura, Moi Teaching and Referral Hospital (MTRH); LMIC Gynaecological Oncology
• Dr Anisa Mburu, Aga Khan Hospital Mombasa and SheFights Foundation, Kenya; LMIC Gynaecological Oncology
• Dr Afrin Shaffi, the BRIDGE programme, Kenya; LMIC Gynaecological Oncology and mainstream genetic testing in ovarian cancer
• Dr Jean Kyula, digital health committee of Kenya Healthcare federation and Penda Health, Kenya
• Data Science Without Border programme, African Population and Health Research Centre (APHRC), Kenya
• Dr Mary Kinloch, University of Saskatchewan, Canada; 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)
• Prof. Lois Holloway, Australian Cancer Data Network, Sydney; Federated Learning at scale
• Dr Hans Christian Stubbe, LMU Klinikum München and LibellaLabs GmbH, Munich; Lightweight Clinical Application and Research System (LCARS)
• Dr Binay Shah & Dr Jin Mou, Binaytara, Washington; Global health network and image datasets