Perrine Gery from the Centre International de Recherche en Infectiologie in Lyon, France, presents their research findings published in Allergy:
#Allergy_journal
Watch videos of recent discoveries: journalallergy.com and youtube.com/@Allergy-TV
www.youtube.com/watch?v=R-DO...
arxiv.org/pdf/2508.201...
How do we get truly actionable insights from our wearables?
A new Google paper suggests a multi-agent "expert team" of AIs:a Data Scientist, Domain Expert, & Health Coach.
Their collaborative model outperformed single AIs in a large human evaluation.It's still a research concept, but a powerful one!
I am particularly thrilled to share our new paper published in @nature.com. We uncover a previously unknown mechanism linking maternal #stress during #pregnancy to the development of #pediatric #eczema
www.nature.com/articles/s41...
@inserm.fr @cnrs.fr @erc.europa.eu
#Neuroimmunology #Mastcell
The causes of early-life eczema have been unclear, but evidence indicates that changes to fetal immune cells and sensory neurons during pregnancy play a key part
go.nature.com/45Y9aUQ
If its absolutely needed, you can always project the calculated pseudotime on top of any reduced dimension of the data, including UMAP.
Algorithms like Monocle or Slingshot, which infer pseudotime based on distances, may yield erroneous trajectories when the calculation run based on the UMAP coordinates !
Working with higher dimensions (i.e. batch-corrected PCAs) of the data make more sense in terms of data topology.
An excellent article on UMAP ! 🖼️ rdcu.be/d0YZT
Please keep in mind that, UMAP does not preserve global topology of the data. Thus, using UMAP embeddings as direct inputs for trajectory inference methods can lead to inaccurate results.
#scRNAseq #pseudotime #UMAP #DimensionalityReduction