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Machine learning for hypothesis generation in biology and medicine: exploring the latent space of neuroscience and developmental bioelectricity
Thomas O'Brien, Joel Stremmel, Léo Pio‐Lopez (Tufts University), Patrick T. McMillen (Tufts University), Cody R. Rasmussen-Ivey (Tufts University), Michael G. Levin (Tufts University, Harvard University)
Digital Discovery
DOI: 10.1039/d3dd00185g (Biochemistry, Genetics and Molecular Biology)
Licence : CC BY-NC
Résumé : FieldSHIFT uses in-context learning to translate neuroscience abstracts into developmental biology abstracts based on example concept mappings, creating new research hypotheses at scale.
Publié le 01 Jan. 2024