arXiv Machine Learning July 30, 2026 By Maryam Farhadizadeh, Maria Weymann, Michael Bla{\ss}, Johann Kraus, Christopher Gundler, Sebastian Walter, Noah Hempen, Hannah Bast, Harald Binder, Nadine Binder

Challenges and proposed solutions in modeling multimodal medical data: A systematic review

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arXiv:2505. 06945v5 Announce Type: replace Abstract: Multimodal data modeling has emerged as a powerful approach in clinical research, enabling the integration of diverse data types such as imaging, genomics, wearable sensors, and electronic health records.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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