AI Model Borrows From Lookalike Cells to Predict How Tumors Respond to Drugs
A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...
A new graph neural network framework called DrugSAGE predicts cancer drug responses by aggregating transcriptomic features from tumors and their ...
Researchers in Japan used organoid-line-specific regulatory network analysis on patient-derived colorectal cancer organoids to uncover drug-response-associated subnetworks that conventional biomarkers ...
Overexpressing the regulatory protein EnfR in the hydrogen-producing archaeon Thermococcus onnurineus NA1 boosts formate-dependent growth and hydrogen output by rebalancing ...
A multi-omics study shows that Microcystis aeruginosa exudates and the sphingolipid phytosphingosine drive hepatic inflammation, oxidative stress and lipid metabolic ...
A new transcriptomic study reveals how Trichoderma asperellum and T. gamsii reprogram melon root defense genes and suppress Fusarium pathogen ...
A new transcriptomic study of Holstein cows reveals thousands of messenger and long non-coding RNAs shifting with altitude, pointing to ...
A retracted Blue Biotechnology review traced how nutrigenomics, from RNA sequencing to CRISPR, could tailor fish diets to their genes ...
A multi-omics study of Blcattle Black bulls identifies the glycolytic enzyme PGAM2 as a central hub linking energy metabolism, testicular ...
A transcriptomic study reveals how silicon supplementation reprograms antioxidant defense, carbon metabolism and hormone biosynthesis to help finger millet tolerate ...
Multi-omic profiling of synaptosomes from C9ORF72-frontotemporal dementia brain and patient-derived neurons reveals widespread synaptic molecular disruption and, for the first ...
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© 2025 Scienmag - Science Magazine