Glad to be part of the FUTURE-AI Consortium led by @KarimLekadir ! Have a look at our international consensus guideline for trustworthy and deployable artificial intelligence in healthcare, just published at @bmj_latest here: https://t.co/KUWNkza9Sl

Biomolecular condensates: It was RNA all along!: Molecular Cell

Agentic AI Meets Medicine!!! 🔬 Excited to announce MedRAX: a groundbreaking Medical Reasoning Agent for Chest X-ray interpretation, now on arXiv! Paper: https://t.co/GRaAmOSBDH Code: https://t.co/Uemj5MVJrx What is MedRAX? MedRAX is the first versatile AI agent that

The shift from AI as tools to AI as agents has tremendous implications for medicine and healthcare. @EricTopol and I share our perspective on new possibilities and how to prepare for this shift in @TheLancet https://t.co/HBmgU9Om6O

1/9 🚨 New Paper Alert: Cross-Entropy Loss is NOT What You Need! 🚨 We introduce harmonic loss as alternative to the standard CE loss for training neural networks and LLMs! Harmonic loss achieves 🛠️significantly better interpretability, ⚡faster convergence, and ⏳less grokking!

Benchmarking gene embeddings from sequence, expression, network, and text models for functional prediction tasks https://t.co/4VRHchJMjh

New preprint claims that most existing DNA language models perform just as well with random weights, suggesting that pretraining does nothing (Mistral & DNABERT-2 look like exceptions). We need better DNA language models.

What is a differentially expressed gene? https://t.co/3Yyqwi5dCp

Impressive advancement in Computational Pathology. A new multimodal foundation model by @AI4Pathology trained on 47,000 paired histology & genomics, which beautifully shows the multi-modal power of images & DNA & RNA Even though patient genomic data is rare, it's so powerful 🧵

AI applications in biomedicine research 🔬🧬💻🤖 Very interesting talk! Excellent presentation by @Davide__Cirillo at #SCD2025 @SCDigestologia @BSC_CNS

[New Paper] Can economic complexity help us understand how countries move towards their Sustainable Development Goals (SDGs)? In a new paper, led by Fengmei Ma and Heming Wang (@HemingWang2), from CCL, we explore how countries make progress towards SDGs. Instead of looking at

In Milan @humantechnopole we opened core-funded computational Group Leader positions in one or more of bioimage analysis, spatial ‘omics, AI for genomes and proteins, computational simulations of cells and tissues. Come to lead your research programme! https://t.co/hP2rNESzt3

Now out: "A machine learning approach to predicting dynamical observables from network structure" ( https://t.co/kmmsSvGeDd). Here we use ML techniques to predict dynamic outcomes of networked systems using their structural properties. Kudos to @FranciscoICMC @thomas_peron et al.

🟣How to overcome together sex and gender biases in artificial intelligence?🟣 📆12/02 - 11h 📍 Esteve Auditorium, CEK 🎙️"Sex and Gender Bias in AI for Health" @Davide__Cirillo 🎙️"Enhancing Suicide Prevention on Social Media through AI" @ana__freire  👉 https://t.co/hCzqsCqlow

Thrilled to introduce our Cell Reports @cellreports article, showing how the iconic '#Hallmarks of #Cancer' are located in the space of real human primary tumors. A team effort co-led by Eduard Porta @eportacangen , Matthew H. Bailey, and yours truly. #SpatialBiology #Visium

📢#BSCSeminar: Multi-view and Multi-modal Foundation Models for Drug Discovery 🗣 @michal_zvi, @IBMResearch 📆 30 January ➡ https://t.co/3uP9d8Vomb #WomeninBSC #EquityinBSC @Bioinfo4women @SOMM_alliance

🟣IDIBAPS WOMEN AND GIRLS IN SCIENCE DAY🟣 📆12/02 - 11h 📍 Esteve Auditorium, CEK 🎙️"Enhancing Suicide Prevention on Social Media through AI" @ana__freire  🎙️"Sex and Gender Bias in Artificial Intelligence for Health" @Davide__Cirillo  👉 https://t.co/iykE9eQU7S

1/ Excited to see https://t.co/ezvTuR6WfH published in @Nature! We scaled Optimal Transport (OT) in single-cell genomics & added multimodality together with spatiotemporal trajectory inference, finding exciting new biology in the pancreas! 🚀 Read at https://t.co/ghCq7KgDtc

Kick-off of “Industria del Coneixement” 2024 projects from @gencat. OneCareAI has been granted with Producte and Innovadors funds! @Davide__Cirillo @BSC_CNS

Proteomic assays assess thousands of proteins but we lack understanding of their origins New preprint explores determinants of 3,000 circulating protein levels in UK Biobank (N=43,240) 👉genetic, modifiable & technical parameters🧬🥘🧪 👉explained variance 0-80% (median 23%)📊