Glad to share our work on molecular #evolution in MDS, out in @NEJMEvidence
We infer recurrent trajectories and define IPSS-M-Evo, a novel score to improve #prognostic stratification
Paper: https://t.co/LWdL4iufJh
Editorial: https://t.co/A2N1wLDEz4
Tool: https://t.co/IYEdNScukg
Outstanding contribution led by Dr @IvanCivettini and the Humanitas team published in @NEJMEvidence which we at @YaleCancer were happy to be a part of it! Prognostic Score for Myelodysplastic Syndromes Based on Molecular Evolution | NEJM Evidence https://t.co/VtNUJVRoqh
Spring is here! And so is the Milan Meeting on Next Generation Sequencing!
As every year, a free meeting where dry- and wet-lab researchers can present their work on generation and analysis of biomedical data
Coffee☕ included!
📅 April 24
📍 @unimib
🔗https://t.co/4Ods1zyfpY
Happy to share spFBA, our new framework to estimate #metabolic fluxes directly from #spatial_transcriptomics data.
https://t.co/8aUoONlAbs
Fantastic team effort led by the usual suspect @ChiaraDamiani_ and made possible by a great collaboration between @unimib and @cnag_eu!
Finally out! 🎉 Our first work at @humantechnopole is published in @NatureComms:
"Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont"
📄 https://t.co/ojWhoVr5oH
Incredibly proud of my former lab member @Anga_F and his work with @fepinheiromycin's team on this great new paper, out now in Nature Communications!
The #compbio community working on #bacteria should give it a read!
Less is more?
Our new RESOLVE framework fits cancer mutational profiles with fewer #MutationalSignatures than those included in catalogues (eg @cosmic_sanger), revealing that a few key processes drive most cancers, whereas rare ones play a minor role
Out now in @NAR_Open!
Very glad to be part of the team behind this work out now in @CR_AACR!
By combining #single_cell multi-omics data integration, #MachineLearning , and computational modeling, we map how resistance to #cancer therapies emerges and evolves
https://t.co/mMP6L06nNG
@unimib
What's heritable and what's plastic in cancer drug resistance? The two are linked! (Epi)genetic molecular memory is under Darwinian selection but encodes multiple plastic phenotypes. We found this with organoid experimental evolution + ML for multiomics. https://t.co/nrjtgAuET9
Checkout the program of the talks at the Como School on Cancer Evolution! #csce
https://t.co/P97vDUVjOP
Registration is now open for both in-person and online participation!
2 weeks to go until the Como School on #CancerEvolution (#CSCE)!
Once again, a stellar lineup of pioneers in biomedical data science and a great networking opportunity.
Also available via streaming (at a reduced fee)
Info: https://t.co/X7EwMWQAiv
🚀 EU-funded PhD in Data Science. Join us to fight AMR 🧫 at @humantechnopole 🇮🇹 Milan — ENDAMR MSCA Network.
🗓 Apply by 23 May 2025 → https://t.co/YzjbHehh5g
🔄 RT #PhDposition#AMR#DataScience
The 9th ed. of the Como School on #Cancer#Evolution will take place on 27-30 May
A great opportunity for dry and wet-lab researchers to connect closely with the pioneers in the field.
And all of this in a stunning villa right on the lake!
Infos here! https://t.co/X7EwMWQAiv
The Milan Meeting on Next Generation Sequencing #MMNGS 2025 is just one week away!
The program is now available at this link: https://t.co/PO2pLBs5nw
📅 6 May | Aula Martini U6 building @unimib
Glad to present the 2025 ed of the Milan Meeting on Next Generation Sequencing | Tuesday 6 May @unimib
A meeting that has become a tradition for those working on the generation or analysis of #omics data!
Registration is free, coffee ☕️ too!
Info at: https://t.co/PO2pLBs5nw
Glad to share our latest work on drug-induced tolerance in #cancer!
We show that chemotherapy triggers a transient tolerant state via autophagy and DNA repair activation, which later shifts to persistence
Out now in @NatureComms!
https://t.co/j1yns3yhTf
Glad to share our newest framework
spFBA allows one to estimate the fluxes of metabolic reactions from any spatial transcriptomics dataset
In CRC samples metastases mimic the metabolism of the tissue of origin!
Great work led by @ChiaraDamiani_@unimib
https://t.co/1YW2BEodwu
Postdoc opportunity (18 mos)
Join our team to develop pipelines for single-cell seq data in an @AIRC_it funded project!
Looking for bioinformaticians and data scientists passionate about cutting-edge research (and fun too!)
Apply by Dec 3rd: https://t.co/jbooKL4ume
please RT!
The 24 #NobelPrize in physics and chemistry are de facto prizes to #AI
On Friday 15, @MarcoxaShowlow and the Science School of @unimib will host a day-long symposium in which experts will explain where it all started and what to expect next
Registration: https://t.co/CH7uiznEjl
Da dove provengono le reti neurali moderne?
Come può l’#IntelligenzaArtificiale cambiare il futuro della scienza e della società?
🤖 Se volete scoprirlo, non perdete il convegno "Nobel x AI x Sciences", il 15 novembre (dalle 9.00) in U6
https://t.co/sKdEKFXhsZ