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Digital phenotyping from wearables using AI characterizes psychiatric disorders and identifies genetic associations

Complex disorders require precise strategies for their characterization. AI-based digital phenotypes from biosensors can be used to predict psychiatric disorders and identify GWAS loci.

Reprogramming tumour-associated macrophages to outcompete cancer cells

Nature, Published online: 28 June 2023; doi:10.1038/s41586-023-06256-5

In a mouse model of breast cancer, a low-protein diet induces engulfment activities and mTORC1 signalling in tumour-associated macrophages to suppress engulfment-dependent mTORC1 signalling in MYC-overexpressing cancer cells through cell competition, serving as an innate immune defence mechanism to slow tumour growth.
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