📣#LoMásLeído|Investigadores de Cima Universidad de Navarra y de Clínica Universidad de Navarra han identificado un biomarcador que predice la eficacia de la terapia CAR-T Science Advances Mikel Hernaez CIBERONC IdiSNA Navarra Instituto de Salud Carlos III (ISCIII) TERAV Asociación Española Contra el Cáncer Fundación ”la Caixa” ow.ly/eVez50KZnHT

🌐 For this year’s edition, we are working on the organisation of local meetups across the globe during conference dates. The objective: bring the local community closer together and foster the exchange of ideas. For now, there are 13 candidate meet-ups locations (see list).

1. 🇺🇸Stanford, USA 2. 🇩🇪Munich, Germany 3. 🇳🇱Amsterdam, Netherlands 4. 🇨🇳Shanghai, China 5. 🇨🇭Lausanne, Switzerland 6. 🇫🇷Paris, France 7. 🇳🇴Tromso, Norway 8. 🇺🇸Michigan, USA 9. 🇪🇸Madrid, Spain 10. 🇨🇳Beijing, China 11. 🇮🇹Trento, Italy 12. 🇺🇸New York, US 13. 🇬🇧London, UK

Looking for a job in bioinformatics? Already a PhD?Then... we are waiting for your call! linkedin.com/jobs/view/3725…

Join us at the Graph ML Meetup in Madrid of the Learning on Graphs Conference 2024 from November 27th to 29th, 2023! Keynote talks by Reinhard Heckel ,Ivan Dokmanić , and Xiaowen Dong (xiaowen dong), along with talks and poster sessions. The call is open until November 8th! logmeetupmadrid.github.io

#HIRING: We are searching for a highly motivated PhD  that will be developing a 3-years fellowship in the Cima Universidad de Navarra ➡️ Discovering neurovascular disruptions in #AlzheimersDisease using deep learning #algorithms Join us! cima.cun.es/en/work-with-us

Great opportunity to collaborate with Prof. Kandimalla UMN Pharmacy CE, Prof. Kalari Mayo Clinic, and Prof. Fernandez-Granda NYU Data Science !

Mañana hablare en el Cima Universidad de Navarra sobre aplicaciones de la #InteligenciaArtificial a la predicción de segundos usos de fármacos y su validación con datos del mundo real #RWD Fundación Progreso y Salud IBiS INB / ELIXIR-ES CIBERER Sociedad Española de IA en Biomedicina DaSCI-Instituto Andaluz de Inteligencia Artificial ai4med Spain AI

Uncovering functional lncRNAs by scRNA-seq with ELATUS biorxiv.org/cgi/content/sh… #biorxiv_bioinfo

Amazing work by Kike Goñi! Joint venture between my lab and Maite Huarte. An absolute pleasure!

Just published in eBioMedicine – The Lancet Discovery Science! Ever wondered why some heavy smokers never develop lung cancer, even in old age, while others do at a young age? thelancet.com/journals/ebiom… These clinically relevant phenotypes likely model extreme sensitivity and resistance to tobacco's

Hoy, reunión intermedia del proyecto estratégico #GRANATE. No estamos todos los que somos. Radioterapia más segura y eficaz para los pacientes con cáncer #NoSurrender Gobierno de Navarra #Radioterapia Cima Universidad de Navarra Clínica Universidad de Navarra GRUPO ALDAKIN Navarrabiomed IdiSNA Navarra Alonso Lab , HUN

Propuesta disruptiva Mikel Hernaez abordando la incertidumbre en la inteligencia artificial mediante el análisis de la entropía Cima Universidad de Navarra Asociación Española para el Estudio del Hígado #MPPHep La mejor opción para generar hipótesis que puedan testarse. Jornadas de primavera en Sevilla siempre abriendo camino 👏🔟

Genie, an open-source encoder compliant with ISO/IEC's MPEG-G standard, delivers state-of-the-art genomic data compression ratios and guarantees long-term data sustainability and decodability through interoperability. nature.com/articles/s4200…

IIBM Special thanks to our keynote sepakers Idoia and Mikel Hernaez and to IIBM for hosting us!!

👩‍🔬 💻👨‍🔬 Researchers at Cima have developed a new method for the analysis of gene expression data using artificial intelligence and machine learning, called 𝑵𝒆𝒕𝑨𝒄𝒕𝒊𝒗𝒊𝒕𝒚. cima.cun.es/en/news/news/c…

"This is a new advance that provides a deeper insight into understanding the activity of genes and their biological processes," details Dr. Mikel Hernaez, director of the Machine Learning in Biomedicine group at Cima.

Mikel Hernaez ✅ 𝑵𝒆𝒕𝑨𝒄𝒕𝒊𝒗𝒊𝒕𝒚 has been successfully applied in a meta-analysis of the progression of prostate cancer, identifying gene sets related to cell division, a crucial element for the progression of the disease.

Mikel Hernaez 🧬 This innovative approach is now publicly available in the Bioconductor and GitHub repositories. #MachineLearning #ArtificialIntelligence #FunctionalGenomics #GeneExpression #Microarray #RNASeq #GeneSoftware #ResearchToHeal #CCUN