VitaStem current market price is $0.009236 with a 24 hour trading volume of $29. The total available supply of VitaStem is 10.00M VITASTEM with a maximum supply of 10.00M VITASTEM. It has secured Rank 7929 in the cryptocurrency market with a marketcap of $29,481. The VITASTEM price is 0.23% down in the last one hour.
The high price of the VitaStem is $0.009280 and low price is $0.009216 in the last 24 hours. Live prices from all markets and coin market Capitalization. Stay up to date with the latest price movements. Check our coin stats data and see when there is an opportunity to buy or sell at best price in the market.
7929
$0.009236
$29,481 0.22%
$92,364
$29
3,191.80K VITASTEM
10.00M VITASTEM
10.00M VITASTEM
$0.009280
$0.009216
$0.598 98.46%
06 Oct 2025
$0.009216 0.14%
27 Jul 2026
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0.23%
0.22%
16.48%
38.67%
69.47%
74.47%
84.72%
0%
No historical data available for .
Compare live prices of VitaStem on top exchanges.
| # | Exchange | Pair | Price | Volume(24h) | Trust Score |
|---|---|---|---|---|---|
| Uniswap V3 (Base) | 0X5D4D258144BC954AEFC00EE6CBDA0433B1B2DCD3/0X226A2FA2556C48245E57CD1CBA4C6C9E67077DD2 | $0.009243 | $16 | ||
| Uniswap V4 (Base) | 0X5D4D258144BC954AEFC00EE6CBDA0433B1B2DCD3/0X833589FCD6EDB6E08F4C7C32D4F71B54BDA02913 | $0.009228 | $14 |
VitaSTEM — The first AI-enabled longevity project and inaugural IP-Token launched by Aubrai, VitaDAO’s decentralized scientific agent. After six months of deep research on public and proprietary single-cell RNA-seq and multi-omics datasets, our scientific research team analyzed more than 850,000 human hematopoietic stem cell transcriptomes from donors aged 23–91 (both male and female). This effort uncovered 100+ high-potential rejuvenation target genes and revealed critical drivers of decline such as RhoA hyperactivation, CD38 upregulation, and CCR9 downregulation. Rather than treating HSC aging as a single defect, Aubrai recognized it as convergent damage across interconnected systems, generating a comprehensive multi-modal, five-phase rejuvenation protocol targeting transcriptional stress, metabolic dysfunction, and epigenetic drift in parallel. The agent shortlisted target genes using insights from thousands of peer-reviewed publications and private data and also optimized experimental protocols to guide in vitro and upcoming pre-clinical testing. For the first time, human researchers and AI Agents collaborate as co-scientists in the creation of pioneering scientific IP.

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