For valuable AI applications in medicine, it is important to combine different types of data – genomic, clinical, and imaging. This increases the accuracy and applicability of solutions.
Creating a multimodal platform in healthcare requires integrating genomic, imaging, and smart device data into Delta Lake with access management via Unity Catalog. This approach ensures security and control over information. Various data fusion methods – early, intermediate, and late – take into account the characteristics and availability of each type of information, which is relevant for real-world medical applications.
The Lakeflow SDP platform supports the full data lifecycle, including streaming processing and vector search for grouping information, which helps to quickly move from prototypes to production use.