Artificial intelligence (AI) and decentralized science (DeSci) have the potential to transform the peer-reviewed scientific process and address the human error and subjectivity that can occur in traditional peer review. AI can automatically identify errors and inconsistencies while matching manuscripts with suitable reviewers, while decentralized science platforms using blockchain technology can increase transparency and accountability. These technologies can also make scientific review more accessible and cost-effective. The combination of AI and decentralized science is expected to lead to significant breakthroughs in scientific research, including areas such as cancer research and Alzheimer's disease. However, resistance from traditional medical and scientific lobbies is expected due to their vested interests. DeSci presents an opportunity to challenge private interests and allow anyone with a good idea to get funded. The convergence of AI and decentralized science holds promise for enhancing peer review, democratizing funding, and accelerating scientific breakthroughs. Monitoring the progress of these technologies will be important for their responsible integration into scientific research.



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