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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.
Most discussions acknowledge the significance of using large language models like BioGPT for age-related disease target discovery, supporting the study's approach.
Posts express high interest, highlighting the innovative use of AI and mentioning specific targets like CCR5 and PTH, which attract attention.
While some posts share summaries and implications, many are brief mentions, indicating moderate engagement rather than deep analysis.
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.
Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/sjMrN9vXPj
Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology https://t.co/yjBXzy7sFT https://t.co/aoQMUxZSwH
Biomedical generative pre-trained based transformer language model for age-related disease target discovery @InSilicoMeds @DianaZagirova @biogerontology et al https://t.co/yjBXzy6UQl
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
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
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
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.
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…
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
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
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
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
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
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
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
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
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
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
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
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
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
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
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
RT @AgingJrnl: Go #BehindtheStudy with Dr. Frank Pun, Diana Zagirova, Dr. Anatoly Urban, and Geoffrey Ho Duen Leung from @InSilicoMeds as t…
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
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
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)
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
RT @AgingBiology: Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/…
Biomedical generative pre-trained based transformer language model for age-related disease target discovery https://t.co/sjMrN9vXPj
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @InSilicoMeds @…
Biomedical generative pre-trained based transformer language model for age-related disease target discovery @InSilicoMeds @DianaZagirova @biogerontology et al https://t.co/yjBXzy6UQl
#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
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
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
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
BioGPT model: predict age-related diseases Identify and validate disease-relevant targets @AgingJrnl @InSilicoMeds https://t.co/SUQnFFYppf
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
#CCR5 #leronlimab #cytodyn #aging #cancer #nash #mtnbc #oncology $cydy #AI #BIOGPT https://t.co/vFCxFN79n6
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
RT @agingdoc1: Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology…
Biomedical generative pre-trained based transformer language model for age-related disease target discovery @biogerontology https://t.co/yjBXzy7sFT https://t.co/aoQMUxZSwH
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
Insilico Medicine discovers novel dual targets for aging and disease using Microsoft BioGPT. InSilico Medicine. Journal: Aging-US; DOI: 10.18632/aging.205055 ...
... age-related disease target discovery” was published in the journal Aging. ... doi:10.18632/aging.205055. Source: https://www.impactjournals.com ...
Applying the developed pipeline, the researchers retrieved prospective aging and age ... doi.org/10.18632/aging.205055. Be the first to rate this ...
... 10.18632%2Faging.https://doi.org/10.18632/aging.205055. About Aging: Launched in 2009, Aging publishes papers of general interest and ...
... age-related disease target discovery, Aging (2023). DOI: 10.18632/aging.205055. Provided by Impact Journals LLC. + Explore further. Team ...
... aging-related diseases. For more information, visit www.insilico.com. Journal. Aging-US. DOI. 10.18632/aging.205055. Article Title. Biomedical ...
Aging-US; DOI: 10.18632/aging.205055. Keywords. /Life sciences/Biochemistry/Pharmacology/Drug targets/Molecular targets; /Life sciences ...
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