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2221 A Comprehensive, Artificial Intelligence, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology

Program: Oral and Poster Abstracts
Session: 803. Emerging Tools, Techniques, and Artificial Intelligence in Hematology: Poster I
Hematology Disease Topics & Pathways:
Adult, Artificial intelligence (AI), Research, AML, Acute Myeloid Malignancies, MDS, Elderly, Translational Research, MPN, Bioinformatics, CMML, Chronic Myeloid Malignancies, Diseases, Myeloid Malignancies, Emerging technologies, Technology and Procedures, Study Population, Human, Imaging, Machine learning, Natural language processing, Omics technologies, Pathology
Saturday, December 7, 2024, 5:30 PM-7:30 PM

Saverio D'Amico, MSc1,2*, Elisabetta Sauta, PhD2*, Gianluca Asti, MSc2*, Mattia Delleani2*, Elena Zazzetti, MSc2*, Alessia Campagna, MD2*, Luca Lanino, MD3, Giulia Maggioni, MD2*, Marta Ubezio, MD2*, Gabriele Todisco, MD4*, Antonio Russo, MD2*, Cristina Astrid Tentori, MD2*, Alessandro Buizza, MD2*, Matteo Franchi, PhD5*, Lorenzo Dall'Olio, PhD6*, Marilena Bicchieri, PhD2*, Matteo Zampini, PhD3*, Matteo Brindisi3*, Francesca Ficara, PhD2*, Elena Riva, PhD3*, Denise Ventura, MSc3*, Laura Crisafulli, PhD3*, Nicole Pinocchio, MSc3*, Andrea Della Porta1*, Flavia Jacobs, MD2*, Alberto Zambelli, MD2*, Victor Savevski, MEng2*, Armando Santoro, MD7*, Francesc Sole, PhD8, Uwe Platzbecker, MD9, Pierre Fenaux, MD10, Maria Diez-Campelo, MD, PhD11*, Guillermo Garcia-Manero, MD12, Torsten Haferlach, MD13, Shahram Kordasti, MD, PhD14,15, Gastone Castellani, PhD16*, Fabio Efficace, PhD17*, Valeria Santini, MD18, Amer M. Zeidan, MD19, Rami S. Komrokji, MD20 and Matteo Giovanni Della Porta, MD2,21*

1Train s.r.l., Milan, Italy
2IRCCS Humanitas Research Hospital, Rozzano, Milan, Italy
3IRCCS Humanitas Research Hospital, Rozzano, Milano, Italy
4IRCCS Humanitas Research Hospital, Houston, TX
5Unit of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
6Department of Physics and Astronomy, University of Bologna, Bologna, Italy
7IRCCS Humanitas Research Hospital, Rozzano, Italy
8Josep Carreras Leukaemia Research Institute, Myelodysplastic Syndromes Research Group, Badalona, Spain
9Department for Hematology, Cell Therapy, Hemostaseology and Infectious Diseases, University of Leipzig Medical Center, Leipzig, Germany
10Service d'Hématologie Séniors, Hôpital Saint-Louis, Université Paris 7, Paris, France
11Hospital Clínico Universitario de Salamanca, Salamanca, Spain
12Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX
13MLL Munich Leukemia Laboratory, Munich, Germany
14Hematology Unit, Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, Ancona, Ancona, Italy
15Kings College London, London, United Kingdom
16Dipartimento di Scienze Mediche e Chirurgiche, Università di Bologna, Bologna, Italy
17Gruppo Italiano Malattie Ematologiche Dell’Adulto GIMEMA, Rome, Rome, Italy
18MDS Unit, Hematology, AOUC, University of Florence, Florence, Italy
19Yale School of Medicine and Yale Comprehensive Cancer Center, Yale University, New Haven, CT
20Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL
21Department of Biomedical Sciences, Humanitas University, Milan, Italy

Background. Personalized medicine in hematology requires extensive real-world and comprehensive data, including clinical and genomic information. However, integrating, processing and managing such complex data layers in large populations presents significant challenges. Development of patient-tailored models by Artificial Intelligence (AI), known as Digital Twins (DT) offers a novel approach to precision medicine. DT are virtual representations of patients created from multimodal information that can be used to improve diagnosis, prognosis and treatment outcome, improving clinical decision-making. This project aims to advance research by using AI to develop a DT platform for personalized medicine in hematology, with myelodysplastic syndromes (MDS) as case study. MDS are hematological diseases with high clinical and genomic heterogeneity, presenting a challenging scenario for new technologies implementation

Methods. We exploited the Federated Learning platform and technology for Synthetic Data generation developed by the GenoMed4All and Synthema consortia to collect multimodal data from a broad population of MDS patients, in a privacy-complaint manner avoiding data sharing. The multimodal longitudinal data included both structured and unstructured information, encompassing clinical records, genomics, image data, treatments, longitudinal outcomes, and patients reported outcomes. We analyzed 22,080 MDS patients by gathering data using different technological strategies from retrospective cohorts of the international consortium for MDS, prospective Italian MDS registry (FISIM), GIMEMA clinical network, Humanitas Hospital DataLake and Electronic Health Records form the central repository of Lombardia region, Italy
Clinical, genomic, and imaging data were organized and integrated into a comprehensive DataLake architecture in common data model format. A Retrieval-Augmented Generation (RAG) system with a pre-trained Large Language Model (LLM) was implemented to search, extract and summarize patient information across multiple unstructured text documents and medical records. An innovative AI-based tool was used to capture information on Patient-Reported Outcomes. SHapley Additive exPlanations (SHAP) approach was utilized to explain features importance and impact on model prediction. Several AI models were integrated into an interactive and comprehensive DT platform to address relevant clinical questions in MDS patients

Results. The DT platform (GEMINI) enables manual entry of individual patient information, including age, sex, blood parameters, gene mutations, cytogenetic abnormalities, morphological and histological features along with clinical questions to address (diagnosis, prognostic assessment, and treatment strategy). First, the DT model infers the conditional dependencies among mutations and classifies individual patients into specific clusters, capturing broad dependencies among genomic alterations. Then, using an AI framework for multimodal analysis in cancer (based on PMID35944502), the DT platform provides personalized estimates of 1) probability of survival, 2) leukemic evolution risk, and 3) response to specific treatments. Using individual clinical and genomic features within a multi-state Markov model, the DT serves as a decision support system to define the optimal timing for therapeutic interventions, focusing on transplantation. Finally, for each disease state and clinical scenario, the DT can simulate changes in quality of life and patient-reported outcomes. This platform, intended for research purposes only, is publicly available (https://gemini-xkb3corsxq-ew.a.run.app/) to help clinicians become familiar with the DT concept. An interactive interface allows users to explore a high-fidelity simulation of the disease’s natural history, the impact and timing of therapeutic interventions based on individual patient characteristics

Conclusion. GEMINI offers a robust system that supports clinical decision-making, providing a comprehensive overview of the natural history of the disease and the patient's perspective. Our solution benefits from the integration of multiple sources of information in a privacy-compliant manner, avoiding data sharing. DT are expected to improve and accelerate personalized medicine approaches across different hematological diseases with unmet clinical needs

Disclosures: Santoro: Beigene: Speakers Bureau; Novartis: Speakers Bureau; Sanofi: Consultancy; Incyte: Consultancy; BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Servier: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; EISAI: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Takeda: Speakers Bureau; Roche: Speakers Bureau; Abb-vie: Speakers Bureau; Amgen: Speakers Bureau; Celgene: Speakers Bureau; Astrazeneca: Speakers Bureau; Arqule: Speakers Bureau; Lilly: Speakers Bureau; Sandoz: Speakers Bureau. Platzbecker: Amgen: Consultancy, Research Funding; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; MDS Foundation: Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Research Funding; Curis: Consultancy, Honoraria, Research Funding; Geron: Consultancy; Janssen: Consultancy, Honoraria, Research Funding; Merck: Research Funding; Novartis: Consultancy, Research Funding. Fenaux: Agios: Research Funding; Janssen: Research Funding; Astex: Research Funding; Novartis: Research Funding; Jazz Pharmaceuticals: Honoraria, Research Funding; Servier: Research Funding; AbbVie: Honoraria, Research Funding; BMS: Honoraria, Research Funding. Diez-Campelo: CURIS: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Advisory board fees; BLUEPRINT MEDICINES: Consultancy, Membership on an entity's Board of Directors or advisory committees; HEMAVAN: Membership on an entity's Board of Directors or advisory committees; SYROS: Membership on an entity's Board of Directors or advisory committees; Gilead: Other: Travel reimbursement; KEROS: Honoraria, Membership on an entity's Board of Directors or advisory committees; GSK: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; ASTEX/OTSUKA: Membership on an entity's Board of Directors or advisory committees, Other: TRAVEL TO MEETINGS; AGIOS: Consultancy, Membership on an entity's Board of Directors or advisory committees. Garcia-Manero: Forty Seven: Research Funding; Janssen: Research Funding; Curis: Research Funding; Bristol Myers Squibb: Other: Personal fees, Research Funding; Helsinn: Research Funding; Genentech: Other: Personal fees; Helsinn: Other: Personal fees; Merck: Research Funding; Aprea: Research Funding; AbbVie: Research Funding; Astex: Research Funding; Astex: Other: Personal fees; Genentech: Research Funding; H3 Biomedicine: Research Funding; Onconova: Research Funding; Novartis: Research Funding; Amphivena: Research Funding. Kordasti: Alexion: Consultancy; API: Consultancy; MorphoSys: Research Funding; Beckman Coulter: Speakers Bureau; Pfizer: Consultancy, Speakers Bureau; Boston Biomed: Consultancy; Celgene: Research Funding; Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau. Efficace: AbbVie: Consultancy; JAZZ Pharmaceuticals: Consultancy; Novartis: Consultancy; Incyte: Consultancy; Daiichi Sankyo: Research Funding. Santini: Ascentage, AbbVie, Bristol Myers Squibb, CTI BioPharma, Geron, Gilead, Novartis, Servier, Syros Pharmaceuticals: Other: Advisory Board. Komrokji: BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Servio: Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sumitomo Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees; DSI: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sobi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene/BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Keros: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; PharmaEssentia: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Taiho: Membership on an entity's Board of Directors or advisory committees; CTI biopharma: Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy; Rigel: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Servio: Honoraria; Geron: Consultancy, Membership on an entity's Board of Directors or advisory committees; DSI: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding. Della Porta: Bristol Myers Squibb: Consultancy.

*signifies non-member of ASH