Biomedical generative pre-trained based transformer language model for age-related disease target discovery.

Diana Zagirova, Stefan Pushkov, Geoffrey Ho Duen Leung, Bonnie Hei Man Liu, Anatoly Urban, Denis Sidorenko, Aleksandr Kalashnikov, Ekaterina Kozlova, Vladimir Naumov, Frank W Pun, Ivan V Ozerov, Alex Aliper, Alex Zhavoronkov

September 2023 Aging (Albany NY)

Synopsis of Social media discussions

The discussions demonstrate strong support for the potential of transformer-based AI models in biomedical research, with examples like identifying targets such as CCR5 and PTH, and use of phrases like 'game changer' and 'novel approach' to express excitement. The tone combines enthusiasm with some skepticism about aspects like funding and training data, reflecting a nuanced view of the publication's significance.

A
Agreement
 Moderate agreement

Most discussions acknowledge the significance of using large language models like BioGPT for age-related disease target discovery, supporting the study's approach.

I
Interest
 High level of interest

Posts express high interest, highlighting the innovative use of AI and mentioning specific targets like CCR5 and PTH, which attract attention.

E
Engagement
 Moderate level of engagement

While some posts share summaries and implications, many are brief mentions, indicating moderate engagement rather than deep analysis.

I
Impact
 Moderate level of impact

There is recognition of the potential impact on biomedical research and anti-aging therapies, though some skepticism remains about the actual novelty or direct influence.

Social Mentions

YouTube

2 Videos

Twitter

47 Posts

Blogs

1 Articles

News

6 Articles

Metrics

Video Views

306

Total Likes

68

Extended Reach

221,006

Social Features

56

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Biomedical Transformer Model for Age-Related Disease Target Discovery

Biomedical Transformer Model for Age-Related Disease Target Discovery

This study introduces a novel approach using a biomedical transformer language model to enhance discovery of targets for age-related diseases, demonstrating potential for improved diagnostics and therapeutics.

Aging-US

October 25, 2023

242 views

Transformers in Aging Research for Disease Target Discovery

Transformers in Aging Research for Disease Target Discovery

AgingUS presents a study on a biomedical generative pretrained transformer model for age-related disease target discovery. The research introduces BioGPT, trained on biomedical literature, effectively predicting aging-related proteins and identifying promising therapeutic targets.

Aging-US

October 3, 2023

65 views

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    May 15, 2024

  • Manoj Mayogi Mishra
    @mayogisense (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    April 16, 2024

    2

  • YMED-X
    @YmedX269 (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    April 16, 2024

    2

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    April 15, 2024

    5

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  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    March 16, 2024

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    February 15, 2024

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    January 15, 2024

    1

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    December 29, 2023

  • Dani ✌️
    @danielsil44 (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    December 15, 2023

    1

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    December 15, 2023

    1

    1

  • Aging-US
    @AgingJrnl (Twitter)

    Watch an #agingshort video of a #trendingwithimpact research #paper recently published: “Biomedical generative pre-trained based transformer language model for age-related disease target discovery." @InSilicoMeds https://t.co/JipX9ohoU4 #aging #oa #deeplearning #ai #video https://t.co/ca5TVSu82G
    view full post

    December 4, 2023

  • YMED-X
    @YmedX269 (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    November 21, 2023

    2

  • Dechao Feng
    @DechaoF (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    November 21, 2023

    2

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    November 20, 2023

    2

    2

  • Dechao Feng
    @DechaoF (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    November 6, 2023

    1

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    November 6, 2023

    1

  • Stephen J Williams
    @StephenJWillia2 (Twitter)

    Did #NIH sell your grant application for use in #BioGPT training? A recent article by Insilico Medicine https://t.co/WMSqEgM2PZ on using the GPT to discover targets for aging and cancer may have used 900,000 grant application full texts for training
    view full post

    November 5, 2023

  • YMED-X
    @YmedX269 (Twitter)

    RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
    view full post

    October 27, 2023

    1

  • Aging-US
    @AgingJrnl (Twitter)

    Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as they discuss “Biomedical generative pre-trained based transformer language model for age-related disease target discovery.” WATCH ⬇️ https://t.co/i6Ajy8sDpU
    view full post

    October 26, 2023

    1

    1

  • Pavev
    @patyverjan (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 17, 2023

    10

  • Flower_Girl_2115
    @FlowerGirl_2115 (Twitter)

    https://t.co/c7wwNXvIog Scientists from Insilico Medicine developed a domain-specific version of Microsoft's BioGPT, and turned it into a large language model AI for age-related disease target discovery. They identified CCR5 and PTH... (1/2)
    view full post

    October 17, 2023

  • Ronnie Cutler
    @cutleraging (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 16, 2023

    10

  • Science Socks
    @SocksScience (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 16, 2023

    10

  • Quantix
    @ZReacc (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 15, 2023

    10

  • Alexander Dakhovnik
    @ADakhovnik (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 15, 2023

    10

  • Matias Hartman
    @HartmanMatias_ (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 14, 2023

    10

  • vignesh Jayarajan
    @VigneshUCL (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 14, 2023

    10

  • Bayar Jaff
    @JaffBayar (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 14, 2023

    10

  • João Pedro de Magalhães
    @jpsenescence (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 14, 2023

    10

  • BitFuturist
    @BitFuturist (Twitter)

    RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
    view full post

    October 14, 2023

    10

  • Aging Science News
    @AgingBiology (Twitter)

    Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/sjMrN9vXPj
    view full post

    October 14, 2023

    27

    10

  • GLASS_PhD
    @joybeingfree99 (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @InSilicoMeds @…
    view full post

    October 9, 2023

    1

  • Agingdoc
    @agingdoc1 (Twitter)

    Biomedical generative pre-trained based transformer language model for age-related disease target discovery @InSilicoMeds @DianaZagirova @biogerontology et al https://t.co/yjBXzy6UQl
    view full post

    October 9, 2023

    7

    1

  • Aging-US
    @AgingJrnl (Twitter)

    #TrendingWithImpact: On September 22, 2023, researchers from @InSilicoMeds published a new research paper in Aging: “Biomedical generative pre-trained based transformer language model for age-related disease target discovery” DOI: https://t.co/JipX9ohoU4 @biogerontology https://t.co/ilyCOfn0id
    view full post

    October 4, 2023

  • Aging-US
    @AgingJrnl (Twitter)

    Watch an #agingshort video of a #trendingwithimpact research #paper recently published: “Biomedical generative pre-trained based transformer language model for age-related disease target discovery." @InSilicoMeds https://t.co/JipX9ohoU4 #aging #oa #deeplearning #ai #video https://t.co/5iECp2bOzL
    view full post

    October 4, 2023

  • Sreeram Penna
    @SreeramPenna (Twitter)

    Researchers present a novel approach for predicting therapeutic targets using a large language model (LLM) BioGPT. Using this, they identified CCR5 and PTH as potential novel dual-purpose anti-aging and disease targets. #AntiAging #AIClinicalTrials #BioGPT https://t.co/XHp7uTmpb0
    view full post

    September 27, 2023

    2

  • Daniel
    @daniels0 (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 26, 2023

    8

  • TimePie (focus on anti-aging science)
    @TimePieChina (Twitter)

    BioGPT model: predict age-related diseases Identify and validate disease-relevant targets @AgingJrnl @InSilicoMeds https://t.co/SUQnFFYppf
    view full post

    September 25, 2023

    1

  • Science
    @Long_life_sci (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 25, 2023

    8

  • Bayar Jaff
    @JaffBayar (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 25, 2023

    8

  • AngryPhDstudent❗️❗️❗️
    @ONNESHA092 (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 25, 2023

    8

  • St.George’s Knight@S.F. BayArea
    @bayarea489 (Twitter)

    #CCR5 #leronlimab #cytodyn #aging #cancer #nash #mtnbc #oncology $cydy #AI #BIOGPT https://t.co/vFCxFN79n6
    view full post

    September 25, 2023

  • Slobodan Fuletic
    @FuleticSlobodan (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 25, 2023

    8

  • GLASS_PhD
    @joybeingfree99 (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 25, 2023

    8

  • Marta Noya (Martouta)
    @MartoutaTech (Twitter)

    RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
    view full post

    September 25, 2023

    8

  • Agingdoc
    @agingdoc1 (Twitter)

    Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology https://t.co/yjBXzy7sFT https://t.co/aoQMUxZSwH
    view full post

    September 25, 2023

    17

    8

  • Vladimir Naumov
    @vovalive (Twitter)

    New approach leverages LLMs to predict novel therapeutic targets for aging and age-related diseases. Our pipeline retrieved known targets & proposed CCR5 & PTH as potential dual-purpose anti-aging/disease targets not previously identified as age-related. https://t.co/pdPqsVO1De
    view full post

    September 25, 2023

    1

  • The intersection of aging and disease [IMAGE] | EurekAlert! Science ...

    Insilico Medicine discovers novel dual targets for aging and disease using Microsoft BioGPT. InSilico Medicine. Journal: Aging-US; DOI: 10.18632/aging.205055 ...
    view full post

    December 15, 2025

    News

  • New AI Language Model for Finding Age-Related Disease Targets

    ... age-related disease target discovery” was published in the journal Aging. ... doi:10.18632/aging.205055. Source: https://www.impactjournals.com ...
    view full post

    October 9, 2023

    News

  • New AI model predicts therapeutic targets for age-related diseases

    Applying the developed pipeline, the researchers retrieved prospective aging and age ... doi.org/10.18632/aging.205055. Be the first to rate this ...
    view full post

    October 4, 2023

    Blogs

  • AI model for age-related disease target discovery | EurekAlert!

    ... 10.18632%2Faging.https://doi.org/10.18632/aging.205055. About Aging: Launched in 2009, Aging publishes papers of general interest and ...
    view full post

    October 4, 2023

    News

  • Team trains AI model for age-related disease target discovery

    ... age-related disease target discovery, Aging (2023). DOI: 10.18632/aging.205055. Provided by Impact Journals LLC. + Explore further. Team ...
    view full post

    October 4, 2023

    News

  • Insilico Medicine discovers novel dual targets for aging and disease ...

    ... aging-related diseases. For more information, visit www.insilico.com. Journal. Aging-US. DOI. 10.18632/aging.205055. Article Title. Biomedical ...
    view full post

    September 27, 2023

    News

  • 英矽智能基于微软BioGPT发现多个新颖双效靶点，利用LLMs驱动 ...

    Aging-US; DOI: 10.18632/aging.205055. Keywords. /Life sciences/Biochemistry/Pharmacology/Drug targets/Molecular targets; /Life sciences ...
    view full post

    September 27, 2023

    News

Abstract Synopsis

  • This study introduces a new method for discovering disease targets by using a specialized large language model called BioGPT, trained on biomedical literature to predict proteins related to aging and age-related diseases.
  • The researchers developed a pipeline that improves target prediction performance by fine-tuning the model with task-specific texts, successfully identifying existing and potentially novel targets such as CCR5 and PTH for anti-aging therapies.
  • Overall, the work demonstrates the potential of transformer-based AI models to enhance target discovery processes in biomedicine, paving the way for future integration of AI in developing diagnostics and treatments.