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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.
Most discussions recognize the significance of Precious1GPT in advancing aging research, indicating general support and agreement with its potential.
The multiple references to the publication and focus on innovative methods show high interest from the community.
Participants engage by sharing summaries, reactions, and highlighting key features, reflecting moderate to deep involvement.
The emphasis on potential for therapeutic discovery and innovation suggests the discussions see a meaningful influence of the work in the field.
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
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
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
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
RT @peterxing: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for…
RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
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.
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…
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
RT @peterxing: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for…
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
RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
RT @biogerontology: New Paper Alert: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature i…
https://t.co/Lee6SbI174
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
RT @agingdoc1: Precious1GPT: multimodal transformer-based transfer learning for aging clock development and feature importance analysis for…
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
... 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 ...
... aging.” Read the full study: DOI: https://doi.org/10.18632/aging.204788. Corresponding Author: Alex Zhavoronkov. Corresponding Email: alex ...
... aging and age-related disease target discovery. Aging (Albany NY). 2023 Jun 13; . https://doi.org/10.18632/aging.204788 [Epub ahead of print].
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