# $DEADPIXELS Social Sentiment & Intelligence — 2026-08-26 21:10 UTC

> **Asset:** $DEADPIXELS  
> **Momentum Status:** Trending Up  
> **Timestamp:** 2026-08-26 21:10 UTC (2026-08-26T21:10:00Z)  
> **Canonical URL:** https://cryptitalk.com/2026-08-26-21-10/crypto/DEADPIXELS  
> **Overview Brief:** https://cryptitalk.com/2026-08-26-21-10/crypto.md  

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## 10-Minute Social Metrics
- **Posts Analyzed:** 1
- **Total Impressions:** 737
- **Likes:** 19
- **Retweets:** 1
- **Comments:** 5

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## Momentum & Sentiment Analysis
Total Engagement - Comments: 5, Retweets: 1, Likes: 19, Impressions: 737


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## Cited Community Posts & Evidence


### Post #1 by @JKeynesAlpha
> **Author:** [@JKeynesAlpha](https://x.com/JKeynesAlpha)  
> **Metrics:** 31 likes · 1 retweets · 0 comments · 5.0K views  


> **Source Link:** [https://x.com/JKeynesAlpha/status/2092695126971662339](https://x.com/JKeynesAlpha/status/2092695126971662339)  


> **Visual Context:** The image shows the title page of an academic paper titled "A Multimodal Foundation Model for Longitudinal Patient Representation and Scalable Insight Generation in Oncology," authored by Eugene Vorontsov and several Tempus AI researchers (including Yi Kan Wang, Adam Casson, Ludmila Tydlitátová, Michal Zelechowski, Ezra E. W. Cohen, Jyoti D. Patel, Max Banaszak, Caitlin McWilliams, Shane Colley, Kate Sasser, Ryan Fukushima, Eric LeMoskey, Razik Yousfi, and Sirip Liu) from Tempus AI, Inc. in Chicago, IL, dated 25 August 2026.

The paper relates to $TEM (Tempus AI) as it presents research from the company on the oFM foundation model, which was developed on a real-world oncology cohort of 1.67 million cancer patients and integrates clinical trajectories with DNA, RNA, and H&E pathology data to improve cancer treatment predictions.  

> 
> "$TEM"




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## Contributing Accounts

- `@buuvva_` (https://x.com/buuvva_)