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Unlocking the code: BigRNA's deep learning model predicts RNA behavior

Researchers have developed BigRNA, a groundbreaking deep learning model capable of predicting RNA behavior, including tissue-specific expression and splicing, directly from genomic DNA sequences. The model excels in identifying pathogenic variants and could be a game-changer in the development of personalized RNA-based therapies for treating genetic diseases.
Genotype Tissue Expression Whole Genome Sequencing Deep Learning Drug Discovery Ene Expression Machine Learning

Multi-ethnic genome study unlocks new genetic links to health conditions

Research explores the genetic architecture of circulating metabolites, uncovering novel variant-metabolite associations and validating previous findings. It provides insights into the genetic contribution to metabolite levels and potential implications for human disease.
United States Priyom Bose Hispanic Community Health Study Of Latinos Cardiovascular Health Study Nature Communications Women Health Initiative

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