Human Milk Bacteria: Seeding Infant Gut? @differding_@noeltmueller discuss @MeghanAzad study that sequenced #breastmilk & infant stool samples from mother-infant dyads to investigate co-occurrence of milk-gut #bacteria &impact of #breastfeeding practices https://t.co/Barh1mOfTV
Yo #AcademicChat and #EpiTwitter, thinking about racism/capitalism and it's so unfortunate that some in positions of power are still surprised it occurs in #academia. It's even more sad that instead of accountable changes, we still fall back on passive efforts #BlackInIvory 1/n
Early life exposures might influence later immune-mediated diseases. A new longitudinal study shows that preterm & term children differ at birth but converge onto a shared trajectory, which is hampered by early gut bacterial dysbiosis via @CellPressNews https://t.co/s1fSc32uDp
"Rarefaction based AI algorithm for otu inference and improved richness estimation using the chaochao index" : now available in the CrapPy package. Make "science" great again. #stamps2018#sciencefiction#MachineLearning#ScienceHumor
"rarefaction based machine learning and artificial intelligence algorithms" in the CRapPy software for microbial population analysis by @NOFOKitchen, @differding_ , and @tkkanno
"When multiple fecal samples per subject were used, the model was able to predict whether someone had Crohn’s disease better even than biopsy samples" https://t.co/zdV42sXRnP
Researchers at @UCSanDiego have found that sampling the gut #microbiome over time can provide insights that are not available with a single time point. This could help doctors and researchers more accurately determine if a patient has Crohn's disease: https://t.co/X4eCPShli1