Adrián Ayuso Muñoz (@aayusom) header
Adrián Ayuso Muñoz (@aayusom) profile picture

Adrián Ayuso Muñoz

@aayusom

Computer Engineer by @La_UPM 🇪🇸 MSc in Artificial Intelligence at @La_UPM 🇪🇸 Artificial Intelligence Master's at Korea University 🇰🇷

 Seoul, South Korea
Joined July 2022
  • Tweets17
  • Following164
  • Followers35
La Sociedad IABiomed celebrará el "I Workshop de la Sociedad Española de Inteligencia Artificial en Biomedicina (IABiomed)" como parte de CAEPIA 2024 (@CAEPIAconf). Adjuntamos el CFP y agradeceríamos difusión! bit.ly/iabiomedCFP
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Our last paper about #drugrepurposing and #artificialintelligence is finally out: authors.elsevier.com/a/1h-NM…. Great work as part of @aayusom master thesis (@Luuu_PS @disnet_project @MEDAL_CTB)
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Last results from @disnet_project (3DR-GNN), executed in our lab at @CTBUPM has been shown by @Luuu_PS at #RExPO23 #RExPO (@REPO4EU)!
Image from Medical Data Analytics Laboratory (@MEDAL_CTB)
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Enhorabuena a @aayusom por su matrícula de honor y haber obtenido el premio al mejor TFM del Master en IA de @informaticaupm! Trabajo vinculado a @disnet_project. Además pronto anunciaremos el paper derivado de su trabajo, aceptado en Artificial Intelligence in Medicine!
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Adrián Ayuso Muñoz retweeted
Javier Ubeda Liébana (@jubedal) profile picture
Javier Ubeda Liébana
@jubedal9 Oct 2023
Orgulloso de que nuestro vecino, Adrián Ayuso, sea beneficiario de una de las dos becas 🤝 de estudios de posgrado que ofrece en España 🇪🇸 Corea del Sur. Aquí tenéis toda la información ℹ️ bit.ly/3Fa2jur
Image from Javier Ubeda Liébana (@jubedal)
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After many years of preparation, I am glad to announce that I have been selected as a scholar of the Global Korea Scholarship (GKS) program. linkedin.com/posts/adrian-ay…
After many years of preparation, I am glad to announce that I have been selected as a scholar of...

After many years of preparation, I am glad to announce that I have been selected as a scholar of...

After many years of preparation, I am glad to announce that I have been selected as a scholar of the Global Korea Scholarship (GKS) program. This scholarship will support my pursuit of a master's...

linkedin.com
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Our team at #CBMS2023! @cbms_conference (@BelenOteroo @Luuu_PS @alejandrorodgnz @aayusom)
Image from Medical Data Analytics Laboratory (@MEDAL_CTB)
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Adrián Ayuso Muñoz retweeted
Jure Leskovec (@jure) profile picture
Jure Leskovec
@jure7 Jun 2023
GNNs and atomic coordinates paving the way in protein conformational landscape prediction 🧬📊. @Stanford #CS224W students Leah Reeder & Xun Tang use GNNs to predict protein structures, creating potential impacts on fields of drug discovery. medium.com/stanford-cs224w/g… @PyG_Team
Image from Jure Leskovec (@jure)
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Adrián Ayuso Muñoz retweeted
Jure Leskovec (@jure) profile picture
Jure Leskovec
@jure1 Jun 2023
How GNNs are used for gait health monitoring, useful for diagnosis and treatments of musculoskeletal or neuromuscular disorders. @Stanford #cs224W course project by Yiwen Dong, Samuel Hunter, and Jin Liu. medium.com/stanford-cs224w/l…
Locomotion Reconstruction with the Heterogeneous Graph Transformer

Locomotion Reconstruction with the Heterogeneous Graph Transformer

as part of the Stanford CS224W course project

medium.com
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Adrián Ayuso Muñoz retweeted
Marinka Zitnik (@marinkazitnik) profile picture
Marinka Zitnik
@marinkazitnik1 Jun 2023
📢 1/7: Excited to share @NatMachIntell paper on language model pre-training and relational structure outside the realm of natural language nature.com/articles/s42256-0… Thankful for a star team @MattBMcDermott, B Yap, P Szolovits @HarvardDBMI @harvard_data @MIT
Image from Marinka Zitnik (@marinkazitnik)
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Adrián Ayuso Muñoz retweeted
Jure Leskovec (@jure) profile picture
Jure Leskovec
@jure24 May 2023
📣Ready to dive deep into the world of #MachineLearning with Graphs? 🌐 Our new online class explores how diseases & information spread, traffic & weather predictions, & so much more! Join us, & make sense of the world's complex data🚀. online.stanford.edu/courses/… We kick off on June 5th! #DataScience #OnlineCourse @StanfordEng
Machine Learning with Graphs | Stanford Online

Machine Learning with Graphs | Stanford Online

This course is undergoing a content review. New dates have not yet been set. Click “Notify me” if you want to receive an email when enrollment opens. How do diseases and information spread? How can...

online.stanford.edu
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As part of the 3DR-GNN project (@disnet_project) our paper "Enhancing drug repurposing on graphs by integrating drug molecular structure as feature" has been accepted at @cbms_conference #CBMS2023. Preprint available at: biorxiv.org/content/10.1101/…. Work led by @aayusom.
Enhancing drug repurposing on graphs by integrating drug molecular structure as feature

Enhancing drug repurposing on graphs by integrating drug molecular structure as feature

Drug repurposing has become increasingly important, particularly in light of the COVID-19 pandemic. This process involves identifying new therapeutic uses for existing drugs, which can significantly...

biorxiv.org
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Adrián Ayuso Muñoz retweeted
Konstantin Rusch (@tk_rusch) profile picture
Konstantin Rusch
@tk_rusch21 Mar 2023
Oversmoothing is one of the most prominent issues in GNNs 🔥 However, there are some ambiguities in this context. That is why together with @mmbronstein and S. Mishra we decided to write a survey providing a formal definition of oversmoothing. 📝 arxiv.org/abs/2303.10993 1/6
Image from Konstantin Rusch (@tk_rusch)
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📢 We have presented today at @ekawconference the work "EBOCA: Evidences for BiOmedical Concepts Association Ontology", a collaboration with @oeg_upm 👏 Great presentation from @Andreea32_ and fantastic work @_aieme @Luuu_PS @MariaPovedaV @carbadol @alejandrorodgnz #EKAW2022
Image from Medical Data Analytics Laboratory (@MEDAL_CTB)
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A new paper in the context of @disnet_project and part of @BelenOteroo PhD thesis has been published today in @Healthcare_MDPI. You can access to it here: mdpi.com/2227-9032/10/9/1784
Repositioning Drugs for Rare Diseases Based on Biological Features and Computational Approaches

Repositioning Drugs for Rare Diseases Based on Biological Features and Computational Approaches

Rare diseases are a group of uncommon diseases in the world population. To date, about 7000 rare diseases have been documented. However, most of them do not have a known treatment. As a result of the...

mdpi.com
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📢Great presentation of @aayusom today at the 35th IEEE International Symposium CBMS @cbms_conference 👏 💻We have introduced REDIRECTION🔄 a deep learning model to generate drug repurposing predictions🧪 Check it out ⬇️ 🌐medal.ctb.upm.es/internal/gi… #DeepLearning #GNN #AI
Image from DISNET & 3DR-GNN Projects (@disnet_project)
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