Auto-omics for climate and sustainability
An automated explainable bioinformatics and AI workflow for multi-omic, climate and environmental data, applied to sustainability problems e.g., nature-based carbon capture.
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4 results for Life Sciences
Biomedical Foundation Models
Exploring the power of BMFM technologies to drive critical tasks in drug discovery
Causal ML for Healthcare and Life Sciences
Using Causal Machine Learning for Healthcare and Life Sciences
