Entrevista de Artur Olesch a @alfonsovalencia.bsky.social en #DigitalHealth sobre el incierto futuro de la #IA. Muy recomendable aboutdigitalhealth.com/2025/11/06/a...

AI’s uncertain future

“If this is the final stage of AI, we’re in trouble.” — Alfonso Valencia on the risks and promise of generative models. Continue Reading

aboutdigitalhealth.com

📄Ver publicación del primer estudio de comorbilidades en PNAS: pnas.org/doi/10.1073/... 🔘Plataforma interactiva de red de conexiones entre enfermedades: disease-perception.bsc.es/rgenexcom/ @beatrizurda.bsky.social @alfonsovalencia.bsky.social #DíaMundialCáncerMama #19Octubre

⭕ El BSC explora las conexiones entre enfermedades como el #cáncerdemama y busca distinguir qué parte de estas relaciones se explica por la #genética o por 𝗳𝗮𝗰𝘁𝗼𝗿𝗲𝘀 𝗮𝗺𝗯𝗶𝗲𝗻𝘁𝗮𝗹𝗲𝘀 o modificables. 🔘Casi la mitad de estas conexiones tiene un origen que 𝘃𝗮➕𝗮𝗹𝗹á 𝗱𝗲𝗹 𝗔𝗗𝗡 y son potencialmente modificables.

Some diseases show up together. Others rarely appear in the same person This study looked into whether gene activity (from RNA data) can help explain why The answer: yes - more than we thought Relevant as we are testing RNA in LC & ME/CFS patients @amaticahealth Breakdown:

💻🧬'Los vínculos secretos que existen entre enfermedades. El estudio del BSC representa el mayor esfuerzo hasta la fecha para explicar científicamente las asociaciones clínicas entre enfermedades' 🗞En @innovaspain.bsky.social ➡ www.bsc.es/4kD @alfonsovalencia.bsky.social @beatrizurda.bsky.social

Excited to see our PNAS paper highlighted on Kudos, with an accessible take on the findings. Disease links are not random—they can be predicted from the expression of our genes. www.growkudos.com/publications... @pnas.org @alfonsovalencia.bsky.social 📄 doi.org/10.1073/pnas...

Molecular map reveals hidden disease connections

Diseases rarely come alone. Many people experience a chain of diagnoses across their lives—for example, smoking-related lung cancer, asthma followed by Parkinson’s disease, or depression alongside lup...

growkudos.com

🧬 New research in PNAS shows how gene expression patterns reveal why some diseases occur together while others don’t. Scientists uncovered hidden links — with immune pathways playing a major role. #GeneExpression #Comorbidity #PrecisionHealth 🔗 www.news-medical.net/news/2025090...

Gene expression maps explain why diseases often occur together

This study reveals how gene expression patterns uncover molecular pathways linking comorbidities, enhancing treatment strategies for overlapping diseases.

news-medical.net

Great #networkmedicine work by @alfonsovalencia.bsky.social's team on deriving comorbidity networks from RNA-seq data to study complex disease relationships. Thy show that molecular mechanisms are behind many of the known comorbidities (often via immune response). doi.org/10.1073/pnas...

Patient stratification reveals the molecular basis of disease co-occurrences | PNAS

Epidemiological evidence shows that some diseases tend to co-occur; more exactly, certain groups of patients with a given disease are at a higher r...

doi.org

Totally! In our case it wasn’t even about sample size, but a basic textbook statistical concept 🤖. We even increased the sample size to show the results still held under the reviewer’s definition—and still, they wouldn’t budge.

Un nuevo método computacional, creado en el @bsc-cns.bsky.social y basado en datos de más de 4 000 pacientes y 45 patologías, identifica conexiones clínicas conocidas y sugiere asociaciones inéditas con posibles aplicaciones en el diagnóstico y los tratamientos. www.agenciasinc.es/Noticias/El-...

El BSC diseña un mapa molecular que descubre vínculos ocultos entre enfermedades

Un nuevo método computacional basado en datos de más de 4 000 pacientes y 45 patologías identifica conexiones clínicas conocidas y sugiere asociaciones inéditas con posibles aplicaciones en el diagnóstico y los tratamientos.

agenciasinc.es

She explains part of the fight over 2 years with an absurd referee (can happen) and an incompetent profesional editor unable to understand even basic statistics - or worse unable to take a decision by him/her self. But never mind: Beatriz won and the paper is now published in a better journal.

Beatriz Urda@beatrizurda.bsky.social · 11mo ago

1/ Everything that could go wrong in paper publishing… did. A story of patience, absurdity, and persistence 🌀 <1min From Alfonso Valencia’s lab and a very stubborn PhD student (me).

Very happy to get it out. For scientific & personal reasons this one is special. Beatriz has done more work and endured the most difficult - and absurd - publications battles I can remember. Thanks to PNAS for being "normal" and congratulations to Beatriz. (Beatriz: next one will be easier!)

Beatriz Urda@beatrizurda.bsky.social · 11mo ago

🚨 New in PNAS! 🧬 64% of disease co-occurrences can be explained by transcriptomic similarities. Comorbidities aren’t random—they have a molecular basis. Here’s how we found it 👇 (1/n) 🔗 doi.org/10.1073/pnas.2421060122 @alfonsovalencia.bsky.social

1/ Everything that could go wrong in paper publishing… did. A story of patience, absurdity, and persistence 🌀 <1min From Alfonso Valencia’s lab and a very stubborn PhD student (me).

🚨 New in PNAS! 🧬 64% of disease co-occurrences can be explained by transcriptomic similarities. Comorbidities aren’t random—they have a molecular basis. Here’s how we found it 👇 (1/n) 🔗 doi.org/10.1073/pnas.2421060122 @alfonsovalencia.bsky.social

🧬💻El BSC crea un método computacional que revela conexiones hasta ahora ocultas entre enfermedades. ℹMás info: www.bsc.es/4ke 💻 Acceder a la plataforma interactiva: disease-perception.bsc.es/rgenexcom/ 📄 Publicado en @pnas.org #supercomputación #IA #enfermedades

👏🏆 Congrats to our #NetBio2025 prize winners: - Best Talk: Beatriz Urda-García - Best Poster Method: Arne Wehling - Best Poster Application: Sebastian Urquiza-Zurich - Best Poster Tool: Estefania Torrejon Thanks to all the (poster) presenters!!! It's amazing to have you in our community!!

🎤 Next talk at #NetBio: @beatrizurda.bsky.social: Disentangling the genetic and non-genetic origin of disease co-occurrences #ISMBECCB2025 #NetworkBiology

🌐BSC is a proud partner of EU CIP project, that aims to create a #CancerInfoPortal to improve health literacy, empower patients, and reduce inequalities in access to cancer care information across Europe.

EU-CiP: The EU Cancer Information Portal Project@cancerinfoportal.bsky.social · last yr.

👋 Hello 🏡 We are the #EU-CIP project. We are building the #CancerInfoPortal - home for reliable and easy to understand information cancer patients and their families and carers in Europe. 🤝 We just kicked-off the project with partners from 18 European countries. Let's introduce you to EU-CiP. 1/7

I’m really curious: what else will we need to act? Enter your location and be moved. showyourstripes.info/c/europe/spa...

Show Your Stripes

Visualising how the climate has changed for every country across the globe

showyourstripes.info

🚬The molecular impact of cigarette smoking resembles aging across tissues ⭕This is the 1st comprehensive, multi-tissue analysis to show that smoking doesn’t just harm specific organs like the lungs 🫁 📄By BSC & Universidade do Porto researchers, published in Genome Medicine: bsc.es/Zt2

New research alert 📝❗❗❗ In our latest pre-print, 2nd of my PhD, we performed a Systematic Literature Review on the use of Deep Representational Learning (DRL), especially the Variational Autoencoder (VAE), in cancer progression research. This thread explains our main findings. (1 minute read)

The first year of school is when a maths gap between boys & girls emerges, according to a 4-year longitudinal assessment of language & mathematical performance of all French first and second graders (2,653,082 children!) We now know when to focus interventions 🧪 www.nature.com/articles/s41...

Rapid emergence of a maths gender gap in first grade - Nature

Boys and girls exhibit very similar maths scores upon school entry, but a gender gap in favour of boys becomes highly significant after 4 months of schooling, which increases with years of schooling,&...

nature.com

New Insights into Medulloblastoma! 🧠 I am very happy to announce the first paper in my Ph.D. thesis journey: Exploring the Boundaries of Medulloblastoma Subgroups with synthetic Data Generation -> www.biorxiv.org/content/10.1... Let’s dive in into our findings with this thread! 🧵⤵️

Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation

Medulloblastoma is a childhood brain tumor traditionally classified into four molecular subgroups. Recent evidence suggests that Groups 3 and 4 represent a biological continuum rather than distinct en...

biorxiv.org