Researchers are exploring the integration of multimodal datasets to advance analysis in various medical fields. Studies are utilizing multimodal data and techniques such as deep learning and graph convolutional networks to improve outcomes in areas like cancer, sleep health, and pneumonia diagnosis. The integration of multimodal datasets is being applied to multiple areas of medical research, including cancer, cardiovascular disease, and infectious disease.