konst-int-i/healnet
Multimodal fusion for heterogeneous biomedical data. NeurIPS 2024.
This project helps biomedical researchers analyze complex patient data by combining information from multiple sources like genomic sequences, clinical notes, and medical images. It takes these diverse data types as input and produces unified insights, even if some data is missing for certain patients. Biostatisticians, clinical researchers, and computational biologists can use this to get a comprehensive view of disease.
106 stars. No commits in the last 6 months.
Use this if you need to integrate and make sense of different types of biomedical data (like imaging, genomics, and clinical records) for patient analysis or disease modeling, especially when some data might be incomplete.
Not ideal if your research involves only a single type of data or if you need a solution for non-biomedical data.
Stars
106
Forks
12
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 10, 2024
Commits (30d)
0
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