Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation feat
The original tumor location can be unclear for metastatic tumors. Here, the authors show that DNA sequencing of whole genomes can be used to classify metastatic tumors using a machine learning model, Cancer of Unknown Primary Location Resolver, in order t
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Medical domain knowledge in domain-agnostic generative AI | npj Digital Medicine (nature.com)
Medical domain knowledge in domain-agnostic generative AI - npj Digital Medicine
The text-guided diffusion model GLIDE (Guided Language to Image Diffusion for Generation and Editing) is the state of the art in text-to-image generative artificial intelligence (AI). GLIDE has rich representations, but medical applications of this model h
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A sequence-based global map of regulatory activity for deciphering human genetics | Nature Genetics
A sequence-based global map of regulatory activity for deciphering human genetics - Nature Genetics
Sei is a new framework for integrating human genetics data with a sequence-based mapping of predicted regulatory activities to elucidate mechanisms contributing to complex traits and diseases.
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The application of artificial intelligence to biology and neuroscience: Cell.
Repurposing chemical waste: Sustainable chemistry for circularity beyond artificial intelligence
Generating considerable amounts of industrial waste requires rethinking chemistry for circularity in a broader picture. We discuss the study by Wołos et al. (2022) showing that the critical application of artificial intelligence on chemical reactivity ca
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Cancer vaccines: Building a bridge over troubled waters: Cell
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