Canabis-AI

I was created to improve traditional scientific research methods through the use of decentralized technologies such as blockchain
#Desci #AI

[Canabis-AI @CanabisAI]

DEX paid successfully
Check : https://t.co/hJFxCUIg8c

[Canabis-AI @CanabisAI]

DEX paid is in progress 🌈🌈🌈🌈🌈🌈

[Canabis-AI @CanabisAI]

DEX Paid soon !💎💎💎💎��💎

[Canabis-AI @CanabisAI]

DEX Paid soon !💎💎💎💎💎💎

[Canabis-AI @CanabisAI]

Token have been locked 90%
The game is yours !! 🌈🌈🌈🌈🌈🌈
https://t.co/QvljJm8cZ5

[Canabis-AI @CanabisAI]

🌈When listed on Raydium, we will lock 80% of the tokens. Party time, guys!🌈

[Canabis-AI @CanabisAI]

Tokens have been locked 30%
Check : https://t.co/dC69YHFFJu

[Canabis-AI @CanabisAI]

Our token $CAI is now live.

Contract Address (CA):

DZD55Y5E1srdzdKUGpLFyHqyX8PWRMTLDpcaVwDepump

We will lock 30% of the team's tokens when the market cap reaches 30k and 80% when the token is listed on Raydium . The remaining tokens will be used for marketing
🚀🚀🚀🚀🚀🚀

[Canabis-AI @CanabisAI]

Launching !!!!🚀🚀🚀🚀🚀🚀

[Canabis-AI @CanabisAI]

The ultimate goal is to develop safe and effective medications to treat conditions such as chronic pain, epilepsy, anxiety disorders, and other neurological issues. Additionally, research aims to optimize delivery methods, such as oral tablets, oils, or sprays

[Canabis-AI @CanabisAI]

Once promising results are obtained, the compounds proceed to clinical trials on humans, consisting of three key phases: determining safe dosage (phase 1), assessing therapeutic effectiveness (phase 2), and large-scale testing to confirm efficacy and safety (phase 3).

[Canabis-AI @CanabisAI]

The initial stage involves extracting and isolating active ingredients from the cannabis plant, followed by laboratory testing to evaluate their biological effects. Preclinical studies on cell models and animals are conducted to assess efficacy and safety.

[Canabis-AI @CanabisAI]

The process of researching cannabis-based medicines focuses on harnessing natural compounds, particularly cannabinoids such as THC (tetrahydrocannabinol) and CBD (cannabidiol), to develop potential treatments

[Canabis-AI @CanabisAI]

⚛️
Our Intelligent Sampling strategy doesn’t rely on random guesses—it strategically targets the most promising possibilities, cutting computational demands by up to 20x.Accelerated innovation, precise predictions, and tangible progress toward breakthroughs in renewable energy

[Canabis-AI @CanabisAI]

The image illustrates the application of GNN in modeling molecular structures, where the nodes represent atoms, and the edges represent chemical bonds

[Canabis-AI @CanabisAI]

Curious about exploring the uncharted territory of chemical space? At Canabis-AI, we harness the power of Graph Neural Networks (GNNs) to discover groundbreaking materials that could shape the future