Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery.
Anatoly Urban, Denis Sidorenko, Diana Zagirova, Ekaterina Kozlova, Aleksandr Kalashnikov, Stefan Pushkov, Vladimir Naumov, Viktoria Sarkisova, Geoffrey Ho Duen Leung, Hoi Wing Leung, Frank W Pun, Ivan V Ozerov, Alex Aliper, Feng Ren, Alex Zhavoronkov
June 2023 Aging (Albany NY)Synopsis of Social media discussions
Participants express strong interest and moderate engagement by discussing the technical advancements and potential applications of Precious1GPT, using phrases like 'target discovery' and 'aging clock development' to emphasize its scientific and therapeutic relevance. Their tone suggests they see this research as impactful for future aging and medical interventions.
Agreement
Moderate agreementMost discussions recognize the significance of Precious1GPT in advancing aging research, indicating general support and agreement with its potential.
Interest
High level of interestThe multiple references to the publication and focus on innovative methods show high interest from the community.
Engagement
Moderate level of engagementParticipants engage by sharing summaries, reactions, and highlighting key features, reflecting moderate to deep involvement.
Impact
Moderate level of impactThe emphasis on potential for therapeutic discovery and innovation suggests the discussions see a meaningful influence of the work in the field.
Social Mentions
YouTube
2 Videos
10 Posts
Blogs
1 Articles
News
2 Articles
Metrics
Video Views
851
Total Likes
36
Extended Reach
127,095
Social Features
15
Timeline: Posts about article
Top Social Media Posts
Alex Zhavoronkov, PhD (aka Aleksandrs Zavoronkovs)
New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery
We developed a multi-modal epigenetic and transcriptomic clock that can be used for target https://t.co/hq9cERhVOC
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Peter Xing
Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery | Aging https://t.co/uqWGMPYmo8
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Biomarkers of Aging Consortium
New paper by Consortium member @biogerontology and colleagues on Precious1GPT, a multimodal transformer-based transfer learning for #aging clock development and feature importance analysis for aging and age-related disease target discovery. https://t.co/wmogCsynJ5
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Agingdoc
Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery
Anatoly Urban, @biogerontology & coauthors.
https://t.co/PC5Y1edrfJ @AgingJrnl https://t.co/g8ZIBtqROO
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Transhumanism Australia
RT @peterxing: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for…
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Posts referencing the article
Precious1GPT: Multimodal Aging Clock for Target Discovery and Intervention
Introducing Precious1GPT, a multimodal aging clock that combines methylation and transcriptomic data to predict biological age and identify therapeutic targets, enhancing research for age-related disease interventions.
May 22, 2025
800 views
Multimodal Aging Clock Development and Disease Target Discovery Using Transfer Learning
This video discusses Precious1GPT, a multimodal aging clock that combines methylation and transcriptomic data to predict biological age and identify therapeutic targets, offering improvements over existing models for aging and age-related diseases.
June 19, 2023
51 views
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New paper by Consortium member @biogerontology and colleagues on Precious1GPT, a multimodal transformer-based transfer learning for #aging clock development and feature importance analysis for aging and age-related disease target discovery. https://t.co/wmogCsynJ5
view full postJune 18, 2023
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Transhumanism Australia
@transhumanAU (Twitter)RT @peterxing: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for…
view full postJune 16, 2023
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Peter Xing
@peterxing (Twitter)Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery | Aging https://t.co/uqWGMPYmo8
view full postJune 16, 2023
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Arne Søraas
@ArSoraas (Twitter)RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
view full postJune 16, 2023
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Kejun (Albert) Ying
@KejunYing (Twitter)RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
view full postJune 15, 2023
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Carles Villaplana
@carlesvillapla1 (Twitter)RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
view full postJune 15, 2023
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Jay
@jckellyinc (Twitter)https://t.co/Lee6SbI174
view full postJune 15, 2023
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Alex Zhavoronkov, PhD (aka Aleksandrs Zavoronkovs)
@biogerontology (Twitter)New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery We developed a multi-modal epigenetic and transcriptomic clock that can be used for target https://t.co/hq9cERhVOC
view full postJune 15, 2023
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J Sam
@JaicSam (Twitter)RT @agingdoc1: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for…
view full postJune 15, 2023
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Agingdoc
@agingdoc1 (Twitter)Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for aging and age-related disease target discovery Anatoly Urban, @biogerontology & coauthors. https://t.co/PC5Y1edrfJ @AgingJrnl https://t.co/g8ZIBtqROO
view full postJune 15, 2023
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Novel approach to multimodal aging clock for interpretable age ...
... aging and age-related disease target discovery. Aging-US. doi.org/10.18632/aging.204788. Be the first to rate this article. Posted in: Drug ...
view full postJune 21, 2023
Blogs
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Precious1GPT: multimodal transfer learning for aging clock ...
... aging.” Read the full study: DOI: https://doi.org/10.18632/aging.204788. Corresponding Author: Alex Zhavoronkov. Corresponding Email: alex ...
view full postJune 20, 2023
News
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英矽智能发布基于Transformer模型的衰老时钟，赋能抗衰老和疾病的 ...
... aging and age-related disease target discovery. Aging (Albany NY). 2023 Jun 13; . https://doi.org/10.18632/aging.204788 [Epub ahead of print].
view full postJune 15, 2023
News
Abstract Synopsis
- The study introduces Precious1GPT, a new multimodal aging clock that uses both methylation and transcriptomic data to predict biological age and identify potential therapeutic targets, addressing the limitations of existing aging clocks that are often specialized and disconnected.
- Although Precious1GPT's accuracy in predicting age is slightly lower than specialized clocks, it offers greater potential for discovering new therapeutic targets by analyzing features important for aging and age-related diseases, which could lead to interventions that modify biological age.
- The researchers also used the PandaOmics platform to annotate and identify promising targets, providing a pathway for drug discovery and validation aimed at reversing or accelerating biological aging.
Biomarkers of Aging Consortium
@agingbiomarkers (Twitter)