Beatriz Urda

PhDing at @BSC_CNS | Exploring disease co-occurrences through omics, bioinformatics & HPC — with an eye on AI bias, and occasionally covered in clay.

[Beatriz Urda @beatrizurdag]

🚨 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)

🔗 https://t.co/RoxI9bZTBp @PNASNews

@Alfons_Valencia

[Tivadar Danka @TivadarDanka]

Now, about the matrix product formula.

From a geometric perspective, the product AB is the same as first applying B, then A to our underlying space.

[James Zou @james_y_zou]

Nice @Stanford article about our work on the difficulty of LLMs to disentangle belief from knowledge https://t.co/qBKuWuQji0

[Eric Topol @EricTopol]

This week's @Nature cover highlights a report of A.I. mediated distortion
When #ChatGPT was asked to rate 40,000 résumés, it ranked the older male candidates as better quality than the younger female applicants https://t.co/qTSHdxF8Ia

[GLADIA Research Lab @GladiaLab]

After reading many of the replies, we would like to issue a few clarifications:

- we cannot extract training data from the model using our method

- LLMs are not injective w.r.t. the output text, that function is definitely non-injective and collisions occur all the time

- for the same reasons, LLMs are not invertible from the output text

we hope this clears up any confusion and we welcome any feedback on the matter.

For any further questions, feel free to reach out to the authors:
@GiorgosNik02, @tommaso_mncttn, @DonatoCrisosto1, @teelinsan, Yannis Panagakis, @EmanueleRodola

[BSC-CNS @BSC_CNS]

📄Ver publicación del primer estudio de comorbilidades en PNAS: https://t.co/RnawiK7w0h

🔘Plataforma interactiva de red de conexiones entre enfermedades: https://t.co/O3K12rlH78

@beatrizurdag @Alfons_Valencia @jonsanchez

[BSC-CNS @BSC_CNS]

⭕ 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.

🧬💻Según nuestro último estudio, casi la mitad de estas conexiones tiene un origen que 𝘃𝗮➕𝗮𝗹𝗹á 𝗱𝗲𝗹 𝗔𝗗𝗡, por tanto, son potencialmente modificables.

Los cánceres, incluido el de mama, muestran un fuerte componente molecular más allá de la genética, lo que abre una ventana a la acción.

#DíaMundialCáncerMama #19Octubre

[Beatriz Urda @beatrizurdag]

Really appreciate the thoughtful summary of our study, thank you!

[Jack | amatica health @JackHadfield14]

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:

[Beatriz Urda @beatrizurdag]

@JackHadfield14 @amaticahealth Thank you!! Such a clear and easy-to-follow explanation

[Bioinfo4Women @Bioinfo4women]

Congratulations to @beatrizurdag and the rest of the #ComputationalBiology group team for their computational method, which reveals previously hidden connections between diseases.

Read the tweetorial 👇

[Bioinfo4Women @Bioinfo4women]

What can we learn from academic processes such as publishing? @BeatrizUrdaG shares her more recent experience in the 🧵thread below.

What do you think? Have you encountered similar obstacles? What are your #lessonslearned?

[Beatriz Urda @beatrizurdag]

@Bioinfo4women 💜

[Beatriz Urda @beatrizurdag]

@Bioinfo4women Thank you!!

[Beatriz Urda @beatrizurdag]

@BSC_CNS

[Beatriz Urda @beatrizurdag]

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.

📄https://t.co/q2tqULDOif

https://t.co/KHduAUAyHh
@PNASNews @GrowKudos
@Alfons_Valencia

[TecnoXplora @TecnoXplora]

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

Saber más ➡️ https://t.co/GCTVey8Wgu #Tecnoxplora

[HPCwire @HPCwire]

BSC Develops Computational Approach to Reveal Hidden Disease Connections
https://t.co/27A2W6Rtf1 #HPC

[Beatriz Urda @beatrizurdag]

@Aller_MD Thank you for sharing! We discussed asthma comorbidities, providing a mechanistic explanation for its interesting co-occurrence with Parkinson’s disease

[Beatriz Urda @beatrizurdag]

@NewsMedical Thank you for this clear & engaging deep dive into our PNAS paper 🧬

[News Medical @NewsMedical]

Gene expression maps explain why diseases often occur together 🧬🔬
https://t.co/4rRN4QulIu
#GeneExpression #Comorbidity #RNASeq

[AEPOD Asoc. Española de POTS y otras Disautonomías @AEPOD_es]

¡Novedades muy interesantes que prometen en el campo de la investigación!

¡Gracias y felicidades , @beatrizurdag !