iiinova — where your digital self keeps evolving

Vito RT Zanotelli @votti.bsky.social · 12/03/2026

Really handy overview! Already fig 1 I could see myself sharing frequently to explain differences between whe blood and plasma omics 👇

020

Vito RT Zanotelli @votti.bsky.social · 12/03/2026

In biological data finding meaningful ways to do training-test splits without leaking information can be tricky as readouts can be highly correlated, causing over-optimism. Here a nice example based on protein language models 👇

041

Vito RT Zanotelli @votti.bsky.social · 12/03/2026

Really impressive study showing an actual successful end-to-end rare disease example how to use IPSC + repurposable drug screening followed up by increasing complex diseases models (and functional analyses) to find a drug that is successfully tested in patients. Congratulations 💪

121

Vito RT Zanotelli @votti.bsky.social · 14/04/2025

Really comprehensive and nicely put together review of the state of mass spec based rare disease research 👌

010

Vito RT Zanotelli @votti.bsky.social · 06/12/2024

Spatial proteomics is chosen Nature Methods's Method of the year www.nature.com/articles/s41... Having worked all my PhD helping establishing and pushing the boundaries of one of these technologies, I am obviously quite pleased to see this kind of recognition of the field ☺️

nature.com

Method of the Year 2024: spatial proteomics - Nature Methods

Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.

040

Reposted by Vito RT Zanotelli

Rita Strack @ritastrack.bsky.social · 06/12/2024

I could not be more thrilled to announce the Nature Methods @naturemethods.bsky.social Method of the Year is Spatial Proteomics! Please see our editorial as a roadmap to the fantastic content in this special issue! www.nature.com/articles/s41...

nature.com

Method of the Year 2024: spatial proteomics - Nature Methods

Approaches for profiling the spatial proteome in tissues are the basis of atlas-scale projects that are delivering on their promise for understanding biological complexity in health and disease.

3614170

Vito RT Zanotelli @votti.bsky.social · 06/12/2024

"Conclusions: Increased consumption of dark, but not milk, chocolate was associated with lower risk of T2D. Increased consumption of milk, but not dark, chocolate was associated with long term weight gain. " www.bmj.com/content/387/...

bmj.com

Chocolate intake and risk of type 2 diabetes: prospective cohort studies

Objective To prospectively investigate the associations between dark, milk, and total chocolate consumption and risk of type 2 diabetes (T2D) in three US cohorts. Design Prospective cohort studies. ...

110

Vito RT Zanotelli @votti.bsky.social · 14/11/2024

Is the Mapper algorithm already used for single cell clustering? www.quantmetry.com/blog/topolog... I really like the concept of coarse grouping based on a reduced dimension combined with clustering in original space.

quantmetry.com

Topological data analysis with Mapper

Introduction Topological data analysis (TDA) is a recent branch of data analysis that uses topology and in particular persistent homology. TDA is used to extract meaning from the shape of data. In th...

010