An intelligent drug supply chain management and recommendation framework using blockchain and TRPO-driven multi-agent learning
Shahrzad Bastani Alahabadi · 2026
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Description
Shahrzad Bastani Alahabadi presents a two-part system to track drugs through supply chains and mine patient reviews, in this 2026 paper. Fake drugs slip into weakly tracked chains, causing deaths and vast losses. A shared tamper-proof ledger can log each step a drug takes.
One part records drug movement on a custom blockchain inside a simulated smart supply setting. The other part reads patient reviews with two learning agents tuned by a trust-region method. One agent labels unlabeled reviews it is sure of, widening the training pool. The second ranks which words drive each call and gets rewards for fair calls on rare classes. Tests on two large review sites gave accuracy above 93 percent, with fast ledger speeds.
Catalog record
| CREATOR | Shahrzad Bastani Alahabadi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 284762 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |