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Poster session 10

917P - OPTIMA: Improve care for patients with prostate, breast, and lung cancer through artificial intelligence

Date

10 Sep 2022

Session

Poster session 10

Topics

Population Risk Factor;  Cancer Intelligence (eHealth, Telehealth Technology, BIG Data);  Cancer Epidemiology

Tumour Site

Breast Cancer;  Small Cell Lung Cancer;  Non-Small Cell Lung Cancer;  Prostate Cancer

Presenters

James N’Dow

Citation

Annals of Oncology (2022) 33 (suppl_7): S417-S426. 10.1016/annonc/annonc1061

Authors

J. N’Dow1, E.J. Smith2, K. Polychronopoulos3, A. Cannon4, M. Roobol5, S. Auweter6, M. Thomas7, A. Kremer8, B. De Meulder9, D. Dellamonica10, D.P. Alhambra11, A. Asiimwe12, M. Bussmann13, X. Ji14, P. Torremante15, S. Keller16, F. Kube17, H. Krueger18

Author affiliations

  • 1 Academic Urology Unit, University of Aberdeen, AB24 3FX - Aberdeen/GB
  • 2 Guideline Office, EAU - European Association of Urology, 6803 AA - Arnhem/NL
  • 3 Department Of Innovation And Digitalisation In Law, University of Vienna, Vienna/AT
  • 4 Genentech Inc., Genentech Inc., 97124 - Hillsboro/US
  • 5 Erasmus Mc Cancer Institute, EErasmus University Medical Center, 3015 CE - Rotterdam/NL
  • 6 Scientific Project Management, Smart Reporting GmbH, Munich/DE
  • 7 Global Medical Affairs, F. Hoffmann-La Roche AG, 4070 - Basel/CH
  • 8 R&d, Information Technology for Translational Medicine, Luxembourg/LU
  • 9 Eisbm, Association EISBM, Vourles/FR
  • 10 Europe And Canada Oncology, AstraZeneca AG, 6300 - Zug/CH
  • 11 Csm-ndorms, University of Oxford, OX3 7DQ - Oxford/GB
  • 12 Open Innovation, Private Public Partnerships, Bayer AG, 51373 - Leverkusen/DE
  • 13 Cen­ter For Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf, 01328 - Dresden/DE
  • 14 Data Science And Advance Analytics Coe, Pfizer Digital, Pfizer Inc, 19426 - Collegeville/US
  • 15 Arttic Innovation Gmbh, ARTTIC Innovation GmbH, Munich/DE
  • 16 Oncology, Pfizer Pharma GmbH, 10785 - Berlin/DE
  • 17 Medical Affairs Oncology, Pfizer Pharma GmbH, 76139 - Karlsruhe/DE
  • 18 Medical Affairs Oncology, Pfizer Pharma GmbH, 10785 - Berlin/DE

Resources

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Abstract 917P

Background

OPTIMA (Optimal Treatment for Patients with Solid Tumours in Europe Through Artificial intelligence) is an Innovative Medicines Initiative (IMI) 2 funded public-private research programme that seeks to use artificial intelligence (AI) to improve patients’ care with prostate, breast, and lung cancer. OPTIMA’s goal is to design, develop and deliver the first interoperable, GDPR-compliant real-world data (RWD) and guideline-driven evidence-generation platform in Europe.

Methods

OPTIMA’s multidisciplinary consortium is focused on: 1. Establishing a secure, large-scale evidence, GDPR-compliant data platform that includes RWD from >200 million people. The interoperable platform will host datasets, data analysis tools, federated learning tools and AI algorithms; 2. Developing clinical decision support toolsets based on national and international treatment guidelines underpinned by evidence from advanced AI models to better support medical decision making; and 3. Using big RWD to drive knowledge generation, especially where current existing evidence underpinning clinical guidelines is weak or not covered.

Results

Our multidisciplinary pan-European consortium consists of 36 partners from across 13 countries in the clinical, academic, patient, regulatory, data sciences, legal, ethical, and pharmaceutical fields. It has been granted €21.3 million in IMI funding, an effective project management model, Scientific Governance Board and 3 independent advisory boards are in place: Multistakeholder; Ethical/Legal; and Public/Private, to provide timely, unbiased, expert advice. OPTIMA has secured access to EHR and registries covering several million data sets across Europe, with a strategy to further expand. The consortium will also develop both a central and federated data sharing model for data contributors.

Conclusions

OPTIMA is a unique multidisciplinary public-private partnership to develop guideline-driven healthcare evidence-generation practices for the incorporation of RWD into clinical practice. The tools and models developed strive to process high-dimensional data to identify factors that support individualised care decisions for oncologic patients.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Pfizer Pharma GmbH.

Funding

OPTIMA is funded through the IMI2 Joint Undertaking and is listed under grant agreement No. 101034347. IMI2 receives support from the European Union’s Horizon 2020 research and innovation programme and the European Federation of Pharmaceutical Industries and Associations (EFPIA). IMI supports collaborative research projects and builds networks of industrial and academic experts in order to boost pharmaceutical innovation in Europe.

Disclosure

A. Cannon: Financial Interests, Personal and Institutional, Full or part-time Employment: Genentech, Inc., F. Hoffmann - La Roche Ltd. S. Auweter: Financial Interests, Personal and Institutional, Full or part-time Employment: Smart Reporting GmbH. M. Thomas: Financial Interests, Personal and Institutional, Full or part-time Employment: F. Hoffmann - La Roche Ltd. A. Kremer: Financial Interests, Personal and Institutional, Full or part-time Employment: ITTM. D. Dellamonica: Financial Interests, Personal and Institutional, Full or part-time Employment: AstraZeneca AG. D.P. Alhambra: Financial Interests, Institutional, Funding: European Medicines Agency, Innovative Medicines Initiative, Amgen, Chiesi, UCB Biopharma; Financial Interests, Personal and Institutional, Invited Speaker: Astellas, Amgen, AstraZeneca, UCB Biopharma. A. Asiimwe: Financial Interests, Personal and Institutional, Full or part-time Employment: Bayer AG. X. Ji: Financial Interests, Personal and Institutional, Full or part-time Employment: Pfizer Inc. P. Torremante: Financial Interests, Personal and Institutional, Full or part-time Employment: ARTTIC Innovation GmbH. S. Keller: Financial Interests, Institutional, Full or part-time Employment: Pfizer. F. Kube: Financial Interests, Personal and Institutional, Full or part-time Employment: Pfizer Pharma GmbH. H. Krueger: Financial Interests, Personal and Institutional, Full or part-time Employment: Pfizer Pharma GmbH. All other authors have declared no conflicts of interest.

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