The third wave of the scientific revolution? Understand DeScAI in three minutes

The performance of US stocks in recent times is not worthy of applause, but there is a sector that has emerged in this dullness, and individual stocks have seen a strong performance of a single month increase of 300%. Even "Mistress Mutou" publicly stated that the sector is It is the most undervalued AI application field at present, and Pelosi, known as the "Capital Hill Stock God", has set an example and won the lead in Tempus AI, which is the one that has been pushed to the forefront recently. Section - AI Medical.

Similarly, Firefly, another AI medical company, soared 170% overnight after announcing its participation in Nvidia's Connect program. Although it has fallen a lot, the popularity of AI medical care continues on Wall Street.

What is DeScAI?

If AI empowers medical care is like a big wing, then blockchain empowers medical care will be another innovation of the industry. Of course, if the three are integrated, it will be a subversion of the medical industry. This is our Desci today to talk about (Decentralized Science integrates the principles of decentralization and blockchain into the field of scientific research to achieve open research, reduce barriers to entry, promote global cooperation, and enhance the integrity of scientific data) + AI ( AI).

As we all know, since the scientific revolution in the 17th century, human exploration of knowledge has undergone a transformation from individual fighting alone to institutional monopoly. And now, with the rapid rise of blockchain and AI, a new transformation is quietly emerging.

The deep integration of DeSci and AI can not only break the barriers of data silos, inefficient reviews and centralized allocation of funds in traditional scientific research, but also release unprecedented innovation energy for scientific development through open sharing, collaborative innovation and intelligent decision-making. We can This kind of fusion innovation is called "DeScAI" (Decentralized Science AI), which is "decentralized scientific artificial intelligence."

How does Desci and AI blend?

1. Efficient utilization of medical data

Traditional AI models usually rely on centralized data warehouses, which are monopolized by a few institutions, often form data silos and are accompanied by the risk of privacy leakage. Desci uses blockchain to store scientific research data and health data to the chain, ensuring that the data is not tampered with and traceable throughout the process, thereby realizing the data's rights confirmation, sharing and incentive closed loop.

2. Comprehensive upgrade of precision medicine

With the help of a distributed health data platform and real-time AI monitoring system, each patient will receive a tailor-made diagnosis and treatment plan. Doctors can obtain panoramic health records of patients in real time through open global data resources and adjust treatment strategies based on dynamic data, thereby significantly improving treatment results and reducing medical costs.

3. Revolutionary transformation of drug development and clinical trials

Decentralized clinical trial management and smart drug R&D platforms will significantly shorten the drug R&D cycle and reduce costs. The closed-loop feedback mechanism formed by transparent funds, data linkage and real-time AI monitoring will promote the efficient operation of new drugs from R&D to clinical transformation, and have a far-reaching impact on the biopharmaceutical industry.

4. Construction of a global collaborative scientific research ecosystem

Cross-chain interoperability, decentralized identity authentication (DID) and federated learning technology will break down regional and institutional barriers and build an open, inclusive, global collaborative scientific research cooperation network. Using federated learning, medical institutions complete model training locally, uploading only model update parameters instead of original data, which not only realizes cross-institutional collaboration, but also ensures patient privacy. Whether in developed countries or developing regions, all scientific researchers can jointly promote scientific progress on this platform and form a global innovation synergy.

5. Innovation in intellectual property management and incentive model

Through IP-NFT and dynamic token incentive mechanisms, scientific research results will achieve digital rights confirmation and transparent flow. In the future, scientific research results will no longer rely on traditional publishing institutions, but will flow directly to the global market through blockchain, building a fair and efficient scientific research credit system, and providing continuous incentives for global innovators. Patients not only have ownership of the data, but can also convert data into economic incentives through authorization sharing. This model also provides a high-quality and trustworthy data source for subsequent AI model training.

6. Popularization of decentralized AI computing platform

The sharing of distributed computing resources will greatly reduce the cost of centralized computing and improve the scalability and robustness of the system. The decentralized AI computing platform combined with the Desci data sharing model will provide low-cost and high-efficiency support for large-scale AI model training, becoming an important cornerstone for promoting scientific research and precision medical applications.

The Challenge of the Integration of Desci and AI

Although the DeScAI model has great potential in theory and practice, it still faces a series of challenges in the promotion process, mainly including the following points.

1. Data Privacy and Compliance

Although we can achieve secure use of medical data through various encryption methods, medical data itself is highly sensitive and the platform must also meet international regulatory requirements such as the General Data Protection Regulation (GDPR).

2. Technical standardization

There are differences in data formats and acquisition standards among various institutions, and how to achieve unified standards and cross-platform data integration has become an obstacle to current development.

3. Contract security and incentive design

As the core of the fund allocation and incentive mechanism, its security is directly related to the stable operation of the platform. A platform that adopts blockchain must ensure that all smart contracts have no loopholes. At the same time, a reasonable dynamic incentive model needs to be designed to ensure the healthy development of the token ecosystem. , prevent short-term speculation.

4. User acceptance

The transformation of the decentralized model requires the accumulation of time and trust. This is not a transformation that can be achieved overnight. It requires more time and process to be accepted by users, as well as the innovation and acceptance of scientific research talents themselves.

summary

DeScAI reconstructs the traditional model of scientific research and precision medicine with decentralized data governance and intelligent data analysis as the core. Ensure data transparency and tamper-free through blockchain; use AI to achieve in-depth mining of big data and real-time decision-making support; and then achieve global fund raising and results sharing through DAO and token incentive mechanisms.

Although problems such as data privacy, technical standardization and regulatory compliance still exist, with the continuous improvement of all aspects, the practical application of DeScAI in drug research and development, clinical trials, personalized health management, and cross-field collaborative innovation will surely become the driving force. An important force in global scientific research progress and medical change has brought about the "third wave" of the scientific revolution in the true sense.