A machine-learning approach enables the quantification of microbial load (microbial cells per gram) in fecal samples based on the relative microbiome profile. The predicted microbial load emerged as a major determinant of microbiome variation, confounding various disease-microbe associations across more than 34,000 global metagenomes.
Employing deep learning reconstruction at four excitations for DWI MRI may lead to an average five-minute reduction in exam time for prostate mpMRI, according to…
A DMD rhesus monkey model exhibits profound changes in immune cells, fibro-adipogenic progenitors (FAPs), and muscle stem cells at the early stage of the disease,…
Providers have the potential to earn a Medicare payment of $950 if the software is deployed in medically appropriate scenarios.
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Insufficient influx of T cells into the tumor microenvironment, including brain metastasis, dramatically limits efficacy of conventional immunotherapy. In this issue of Immunity, Messmer et al. interrogate…
Pre-clinical data suggest that increased circulating growth differentiation factor 15 (GDF15) is a cause of both anorexia/cachexia syndromes and hyperemesis gravidarum in pregnancy, serious conditions…
Existing policies have failed to address overweight and obesity. Without major reform, the forecasted trends will be devastating at the individual and population level, and…
The soybean root and nodule are composed of various cell types such as the central infection zone where the atmospheric nitrogen is fixed and assimilated…
Resistance to tyrosine kinase inhibitors (TKIs) in lung cancer brain metastasis (LCBM) remains a clinical challenge. Recently in Cancer Cell, Fu et al. reveal how TKIs…
Ilaria Elia, guest editor of the cancer metabolism special issue, spoke with Cell Reports about her scientific interests and her lab’s focus on investigating the…
