Elvira Forte
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elviraforte.bsky.social
Elvira Forte
@elviraforte.bsky.social
190 followers 400 following 13 posts
Scientist passionate about fibrosis, inflammation & single-cell omics technologies. Science writer/advisor helping bridge biology and AI at https://www.ericandwendyschmidtcenter.org/. Consultant at www.lifescienceeditors.com Former: NatureCVR, jacksonlab
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Reposted by Elvira Forte
A technology that played a key part in saving millions of lives during the pandemic should be celebrated. Yet in the US, research into mRNA vaccines is being cut. While sadly not unexpected, it’s irresponsible as we argue in our editorial this week 🧪

www.nature.com/articles/d41...
Cancelling mRNA studies is the highest irresponsibility
The rest of the world is not following the US government’s dangerous path, and will stick with the technology that helped the world out of the COVID-19 pandemic.
www.nature.com
🚨 New preprint from the #EricAndWendySchmidtCenter! 🚨
"MORPH Predicts the Single-Cell Outcome of Genetic Perturbations Across Conditions and Data Modalities"

www.biorxiv.org/content/10.1...

@broadinstitute.org #SingleCell #PerturbSeq #OpticalPooledScreen #AIinBiology #ScienceNews #CompBio
Reposted by Elvira Forte
Nature @nature.com · Jun 10
This tiny device can shrink dangerous blood clots. It’s called the ‘milli-spinner’ and its invention was partly an accident…
Reposted by Elvira Forte
World Oceans Day is this weekend. 🌊⚒️🧪
🌊 Dive into #WorldOceansDay research. Explore new publications on marine conservation and sustainable oceans at Springer Nature's #SDG14 hub. Visit now and discover more. go.sn.pub/a5jo3v
Reposted by Elvira Forte
Can you go from protein sequence to a generated image of protein localization? New work from the Uhler lab says yes, and it is generalizable to unseen proteins and more than one cell type. I'm excited for work moving us toward virtual cell models.
PUPS - prediction of unseen proteins' subcellular localization - uses machine learning models to predict the localization of unseen proteins in unseen cell lines from sequence and cellular images.

www.nature.com/articles/s41...
Reposted by Elvira Forte
Reposted by Elvira Forte
PUPS - prediction of unseen proteins' subcellular localization - uses machine learning models to predict the localization of unseen proteins in unseen cell lines from sequence and cellular images.

www.nature.com/articles/s41...
Reposted by Elvira Forte
Exciting news...Nature Methods is hiring a new editor! This exciting and dynamic role will be shared with the Nature Research Cross-Journal Editorial Team.

Apply here by June 1!
springernature.wd3.myworkdayjobs.com/SpringerNatu...
a yellow sign that says we 're hiring
ALT: a yellow sign that says we 're hiring
media.tenor.com
Reposted by Elvira Forte
Reposted by Elvira Forte
Thrilled that our work on coronary dominance made the cover of @cellpress.bsky.social! This beautiful image is thanks to the incredible work of @pamrc.bsky.social! 😍

#CardioSky

www.cell.com/cell/fulltex...
Reposted by Elvira Forte
Reposted by Elvira Forte
Research support for rare diseases, which cumulatively affect ~30 million Americans, is primarily derived from NIH.
Such work is exemplified by Prof Anna Greka @broadinstitute.org in a new Ground Truths podcast.
Open-access, w/ transcript, video, no ads
erictopol.substack.com/p/anna-greka...
Anna Greka: Molecular Sleuthing for Rare Diseases
Listen now | Finding the Mechanisms and the Basis for Potential Cures
erictopol.substack.com
Reposted by Elvira Forte
Francis Collins, the NIH Director for 12 years, led the Human Genome Project and other NIH efforts for 32 years, resigned today. Key words from his resignation letter
www.nytimes.com/2025/03/01/u...
Reposted by Elvira Forte
“To strive, to seek, to find, and not to yield”, beautiful poem and very insightful summary of our conversation. Thank you @ahmedgibrahim.bsky.social !