Ellen Grant (Harvard Medical School, Boston Children's Hospital) and Shadi Albarqouni (University of Bonn, Germany) Ellen Grant, a pediatric neuroradiologist, discussed her work on the Healthy Brain and Child Development Project (HBCD), which follows 7,200 mother-infant pairs from pregnancy through childhood to understand the environmental and genetic influences on brain development. She emphasized the challenges of obtaining diverse, representative datasets and fostering international collaboration due to regulatory hurdles. Shadi Albarqouni shared insights into his research on federated learning, a collaborative machine learning approach that enables secure data sharing across institutions. His work focuses on developing inclusive, generalizable AI models for medical imaging, particularly in mammography, while addressing population diversity and data privacy. Both experts highlighted the importance of interdisciplinary collaboration and events like this symposium, which bring together diverse fields to build more accurate and comprehensive precision medicine models. They stressed the need for trajectory-based approaches rather than single time-point analyses to better predict complex systems' outcomes.

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Fouad Chebib, Mayo Clinic, Florida, USA Dr. Fouad Chebib, a nephrologist and physician-scientist at the Mayo Clinic, focuses on polycystic kidney disease (PKD), a complex genetic condition with significant variability among patients, even within families. His vision for precision medicine involves integrating diverse data—imaging, genetics, clinical data, and more—to create personalized predictions and treatments for each patient based on their unique disease trajectory. He emphasized the importance of collaboration between academia and the pharmaceutical industry to accelerate the development of therapies. His team is working on predictive models to identify high-risk patients and validate the efficacy of new treatments within short clinical trial timelines. Dr. Chebib highlighted two major challenges: the need for larger, more diverse datasets through international collaboration and the regulatory hurdles surrounding data sharing. He advocates for innovative approaches, such as federated learning, to overcome these obstacles while ensuring data security. Finally, he praised multidisciplinary events for fostering collaboration, inspiration, and new perspectives across fields, ultimately driving advancements in precision medicine.

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Mark Rubin, University of Bern, Switzerland Mark Rubin, a professor specializing in oncologic research and the director of the Center for Precision Medicine at the University of Bern, shared his insights on precision medicine. He defines it as providing "the right treatment for the right patient at the right time," emphasizing the importance of integrating this approach systematically across healthcare networks. He highlighted the challenges of implementing precision medicine, particularly in organizing and utilizing diverse data sources such as electronic health records, pathology results, and radiological images. Communication and collaboration with patients, clinicians, and the broader medical community are essential to advancing the field. Events like the seminar he attended foster interdisciplinary collaboration and help develop innovative solutions that can be adapted across different areas. Rubin also discussed the critical role of building communities within precision medicine to improve understanding, share strategies, and drive innovation. He praised the seminar's structure for enabling such interactions and learning opportunities.

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