I'm constantly irritated that I don't have time to read the torrent of cool papers coming faster and faster from amazing people in relevant fields. Other scientists have the same issue and have no time to read most of my lengthy conceptual papers either. So whom are we writing these papers for?
I guess, at least until they fall in to the same issue from their own work, AI's will be the only ones who actually have the bandwidth to read all this stuff. I'm not specifically talking about today's language models - let's assume we mean whatever inevitable AI shows up, that is able to read the literature and have impact on the research (whether by talking to humans or by running lab automation/robot scientist platforms).
So then: how should we be writing, knowing that a lot of our audience will be AI (plus cyborgs, hybrots, augmented humans, etc.)? Maybe it's too early to know what to do, but we better start thinking about it because assuming our audience will always be today's humans seems untenable. Taking seriously the idea that someday the impactful audience will be very different, and that the things we write now are in some sense a training set for truly diverse future beings, how does our writing change? or does it?
what say you @danfaggella@mpshanahan@Plinz@blaiseaguera ?
BREAKING: Former Prime Minister of the UK, Boris Johnson, just completely went off on Trump’s idea that Ukraine is the aggressor and debunked all of the Russian propaganda that is being spread:
“Putin launched his war not because he was worried about Nato – that's pure Kremlin propaganda – but because he is a ruthless opportunist, who had been in power for two decades, and who thought he could revive his political fortunes with a short, sharp war to rebuild the Russian empire… and everybody can see that Volodymyr Zelensky is not a dictator but a democrat courageously defending his country against an aggressor. He doesn't shoot journalists. He doesn't poison his opponents or send them to the Gulag. That's Putin."
1/Happy new year from the Metastasis Research Society!
As we close out 2024, here are some additional studies that have shaped our understanding of metastasis biology this year. 🧵...
Pleased to share our review article published @acsnano Nanomaterials in Organoids: From Interactions to Personalized Medicine | ACS Nano https://t.co/kPrLfAL3l8
@Khoonono@_AWTRS @MatrixBioANZ @CPC_usyd@syd_health@YuSukChoi @brookefarrugia I am joining your words, Khoon. Excellent conference, thoughtfully planned, not overloaded, good talks and enough time to.communicate. Big thanks to the organisers!
Since long time we tried to achieve “permanent” labelling of plasma membranes. Now it become possible with MemGraft probes, which exploit a new principle of lipid-directed covalent fluorescent labeling of membrane proteins. The MemGraft probes are compatible with fixation, permeabilization, trypsinization, presence of serum in the medium and enable long-term cell imaging, co-culture of cells and their imaging in multiple colors, cell barcoding and cell manipulation. Congrats and thanks to co-authors: Nathan Aknine @n_aknine & Remi Pelletier. @unistra@CNRS@CNRS_Alsace@LBP_Illkirch
Just out in biorXiv:
https://t.co/tKxnUhvFxT
@HaoYin20@TristanRutland7@DrCycloPath@JMGardnerMD To prove the mesenchymal nature, I would consider staining for vimentin (to check whether the cells are fibroblast-like; desmin may help to differentiate smooth muscle involvement; and cytokeratin as a marker of epithelial cells (whether they are linked to, e.g., mammary glands).
I am on my way to the #TERMIS2024! Exited to hear about the most recent advances in the world-class tissue engineering, meet old and new colleagues, and present two works of our group!
One of our studies provides insights on to what extent we can trust common cell counting assays in 3D scaffold (#ECM)-based in vitro cultures. This work resulted from the PhD project of our student @VaezMahsa supported by @Trypto_Ben and @Annie_Nadort