Guillermo Prol-Castelo
@gprolcastelo.bsky.social
Bioinformatics predoctoral researcher at @bsc-cns.bsky.social and @upf.edu
#AI #bio
https://github.com/gprolcastelo
#AI #bio
https://github.com/gprolcastelo
Reposted by Guillermo Prol-Castelo
OpenAI pirated large numbers of books and used them to train models.
OpenAI then deleted the dataset with the pirated books, and employees sent each other messages about doing so.
A lawsuit could now force the company to pay $150,000 per book, adding up to billions in damages.
OpenAI then deleted the dataset with the pirated books, and employees sent each other messages about doing so.
A lawsuit could now force the company to pay $150,000 per book, adding up to billions in damages.
November 4, 2025 at 3:30 PM
OpenAI pirated large numbers of books and used them to train models.
OpenAI then deleted the dataset with the pirated books, and employees sent each other messages about doing so.
A lawsuit could now force the company to pay $150,000 per book, adding up to billions in damages.
OpenAI then deleted the dataset with the pirated books, and employees sent each other messages about doing so.
A lawsuit could now force the company to pay $150,000 per book, adding up to billions in damages.
Reposted by Guillermo Prol-Castelo
🎉 Congratulations to EVENFLOW partner @gprolcastelo.bsky.social on the publication of his second PhD pre-print! 📄
A contribution to understanding VAEs in cancer progression research, supported by the @evenflowproject.bsky.social project.
Learn more 👇
#CancerResearch #DeepLearning
A contribution to understanding VAEs in cancer progression research, supported by the @evenflowproject.bsky.social project.
Learn more 👇
#CancerResearch #DeepLearning
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)
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)
June 19, 2025 at 10:58 AM
🎉 Congratulations to EVENFLOW partner @gprolcastelo.bsky.social on the publication of his second PhD pre-print! 📄
A contribution to understanding VAEs in cancer progression research, supported by the @evenflowproject.bsky.social project.
Learn more 👇
#CancerResearch #DeepLearning
A contribution to understanding VAEs in cancer progression research, supported by the @evenflowproject.bsky.social project.
Learn more 👇
#CancerResearch #DeepLearning
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)
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)
June 12, 2025 at 9:43 AM
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)
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)
Reposted by Guillermo Prol-Castelo
10 Years of Variational Autoencoder: Insights from Cancer Temporal Progression Studies, a Systematic Literature Review https://www.biorxiv.org/content/10.1101/2025.05.29.656750v1
June 5, 2025 at 10:49 AM
10 Years of Variational Autoencoder: Insights from Cancer Temporal Progression Studies, a Systematic Literature Review https://www.biorxiv.org/content/10.1101/2025.05.29.656750v1
Reposted by Guillermo Prol-Castelo
10 Years of Variational Autoencoder: Insights from Cancer Temporal Progression Studies, a Systematic Literature Review [new]
VAE cancer omics analysis reveals temporal modeling gap (limited data). Proposes VAEs for cancer staging.
VAE cancer omics analysis reveals temporal modeling gap (limited data). Proposes VAEs for cancer staging.
June 5, 2025 at 11:04 AM
10 Years of Variational Autoencoder: Insights from Cancer Temporal Progression Studies, a Systematic Literature Review [new]
VAE cancer omics analysis reveals temporal modeling gap (limited data). Proposes VAEs for cancer staging.
VAE cancer omics analysis reveals temporal modeling gap (limited data). Proposes VAEs for cancer staging.
Reposted by Guillermo Prol-Castelo
10 Years of Variational Autoencoder: Insights from Cancer Temporal Progression Studies, a Systematic Literature Review https://www.biorxiv.org/content/10.1101/2025.05.29.656750v1
June 5, 2025 at 10:49 AM
10 Years of Variational Autoencoder: Insights from Cancer Temporal Progression Studies, a Systematic Literature Review https://www.biorxiv.org/content/10.1101/2025.05.29.656750v1
Reposted by Guillermo Prol-Castelo
Happy to be part of the amazing new world of synthetic data by the hand of @gprolcastelo.bsky.social in Davide Cirillo’s group!!
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! 🧵⤵️
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...
www.biorxiv.org
January 13, 2025 at 3:58 PM
Happy to be part of the amazing new world of synthetic data by the hand of @gprolcastelo.bsky.social in Davide Cirillo’s group!!
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! 🧵⤵️
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...
www.biorxiv.org
January 13, 2025 at 3:07 PM
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! 🧵⤵️
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! 🧵⤵️
Reposted by Guillermo Prol-Castelo
Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation [new]
Explores subgroups by generating synthetic transcriptomics data with a VAE, supporting a continuum between groups 3 and 4.
Explores subgroups by generating synthetic transcriptomics data with a VAE, supporting a continuum between groups 3 and 4.
January 2, 2025 at 9:38 PM
Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation [new]
Explores subgroups by generating synthetic transcriptomics data with a VAE, supporting a continuum between groups 3 and 4.
Explores subgroups by generating synthetic transcriptomics data with a VAE, supporting a continuum between groups 3 and 4.
Reposted by Guillermo Prol-Castelo
Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation https://www.biorxiv.org/content/10.1101/2024.12.30.630738v1
December 30, 2024 at 9:47 PM
Exploring the Boundaries of Medulloblastoma Subgroups with Synthetic Data Generation https://www.biorxiv.org/content/10.1101/2024.12.30.630738v1