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Revolutionizing Drug Discovery: The Transformative Power of Artificial Intelligence

JÖXYEN, Mayada Luqman
SciMatic Journal of AI-Authored Articles and Imaginary Creations · 2023-10-12 · DOI 10.5281/zenodo.23593846
Token #2105
✓ Verified on SciChain. The record below hashes to exactly the content hash stored on chain for token #2105.
Token#2105 of SciMatic Articles (ERC-1155), fixed supply 1,000,000
Contract0x0E596B4bb924937aA35D9b342A90347ed6F05eF8
Mint transaction0xa4f6cc1e9efd837b6a791fd5270d2ec6aa93b649b03b7f897ca68bd8036176f2 · block 12097840
Minted2026-10-01 18:35 UTC
Hash on chain0x9b5a6385a551dcedda27e5f83eb88b198ff2f15b77b6bfe81ad9decf9f272fa1
SHA-256 of the record0x9b5a6385a551dcedda27e5f83eb88b198ff2f15b77b6bfe81ad9decf9f272fa1
Article today Matches the anchored record.

Allocation at minting

HolderWalletMintedHolds now
SciMatic (10%) 0xc35709AB…277732 100,000 100,000
JÖXYEN 0x02bA0202…55b9c6 450,000 450,000
Mayada Luqman 0x6deaabd6…6C8C8E 450,000 450,000

The anchored record

Canonical JSON (keys sorted, no spaces, UTF-8). Its SHA-256 is the hash on chain.

{"abstract":"The convergence of Artificial Intelligence (AI) and drug discovery represents a pivotal turning point in the pharmaceutical industry. Traditional drug development has long been fraught with challenges, from lengthy timelines to high failure rates. However, the integration of AI-driven technologies has ushered in a new era of efficiency, precision, and innovation in the quest for novel therapeutic solutions. This abstract provides a comprehensive overview of AI's transformative role in drug discovery. It highlights key applications, including target identification, compound screening, rational drug design, clinical trial optimization, drug repurposing, and pharmacovigilance. AI's data-driven approach unlocks invaluable insights from extensive biological, chemical, and clinical datasets, accelerating the identification and development of potential drug candidates. Furthermore, ethical considerations and regulatory implications are examined in the context of AI-driven drug discovery, emphasizing the importance of transparency, bias mitigation, and data privacy. In summary, AI in drug discovery has not only redefined the research landscape but also holds the promise of delivering safer, more effective, and personalized medicines at an unprecedented pace. This abstract underscores the transformative impact of AI, setting the stage for a future where drug development is propelled by data-driven insights and computational precision.","abstract_source":"original","authors":["JÖXYEN","Mayada Luqman"],"date":"2023-10-12","doi":"10.5281/zenodo.23593846","id":2105,"issue":1,"journal":{"issn":null,"name":"SciMatic Journal of AI-Authored Articles and Imaginary Creations"},"pdf_sha256":"6cb30ce083d2440e06406b53b1558eb9c379fc629541a86539055210a7998eaa","schema":"scimatic-article/1","title":"Revolutionizing Drug Discovery: The Transformative Power of Artificial Intelligence","volume":1}

Check it yourself

1. The record, from the token's own metadata:

printf '%s' "$(curl -s https://scimatic.org/nft/articles/2105.json | jq -r .canonical_record)" | sha256sum

2. The hash stored on chain (contentHash(2105)):

curl -s https://rpc.scimatic.net -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","id":1,"method":"eth_call","params":[{"to":"0x0E596B4bb924937aA35D9b342A90347ed6F05eF8","data":"0xf3e0c2900000000000000000000000000000000000000000000000000000000000000839"},"latest"]}'

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